Friday, January 09, 2015

Fact Follows Fiction

I wrote Martian Rhapsody (on Amazon for 99 cents in the e-book edition) to include plenty of science and scientific speculation.  A new article by Johnny Bontemps gives credence to one of the speculations.

http://www.csmonitor.com/Science/2015/0108/Are-there-fossils-on-Mars

This article not only suggests the possibility of life existing on Mars billions of years ago but also implies that life began on Mars, if it began, at least 200 million years earlier than it did on Earth.

The scientist quoted, Nora Noffke, has spent 20 years studying very ancient, over 3 billion years old, formations on Earth that were formed by bacteria.  She spent weeks analyzing images from Mars to determine whether they matched those on Earth and how closely.  While she cannot absolutely rule out non-biological origins, she thinks that the likelihood is small.

Scientists cannot simply state things such as "life on Mars" without overwhelming evidence, but now the evidence is very strong indeed.

© 2015 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Tuesday, May 06, 2014

Book Review: Teaching Lab Science Courses Online

This book basically is a very long advertisement. You will find some useful information here if you ignore the blatant bias toward the company that the authors founded.

I am a scientist with a B.S. from Caltech and a PhD from Columbia university. I was chair of the Northeastern Section (3,500 members) of the American Chemical Society and an assistant professor at Northeastern University. This topic is very important to me as I believe that online education is our future.

This book makes many excellent arguments for online science labs but fails to consider more recent innovations than lab kits.

It also focuses on just college students when a discussion of K-12 education would fall within the title's purvey, "Teaching Lab Science Courses Online."

At the end of this review, I'll briefly discuss real alternatives to this book's conclusion that you must pay dearly for lab kits in online education.

College students fall into two groups with very different education requirements. The science majors should have every opportunity to experience real laboratory situations. The majority are non-science majors who must be exposed to scientific reasoning and the nature of science as much as possible at the least cost. Lab kits are very expensive, often well over $200 per student. Lab kits limit the range of experimentation because of the liability issues discussed in the book. Our students deserve better. Students can find ways to game the system and not even open up their lab kits at all. Pictures of the experiments can provide some proof, but the student can "photoshop" their own image into the pictures and so avoid having to do any real science at all. At the end of this review, I'll mention alternatives not in the book.

The book discusses simulations and virtual labs and explains some of their shortcomings. It does not mention that such experiences, when presented as labs, completely misrepresent the nature of science. Nevertheless, the book clearly explains that simulations are not authentic science investigation experiences and won't be until long in the future if ever.

Next, it discusses Remote Access Laboratories (RAL). It misses the essential point that students are not collecting their own data using their own judgment and care. These labs are distant and disconnected from the student experience. Only the more sophisticated students will benefit from this sort of experience.

The hybrid lab experience also comes under analysis. This "straw man" lab is readily shot down as being expensive, not timely, and still quite costly.

Kitchen labs also come under criticism with the focus on science majors. For the non-science major, they can readily be an excellent part of science instruction. The problem faced by education institutions is how to provide the remainder of the instruction. The book also decries the high cost of kitchen science labs, a false charge, especially when compared with the cost of lab kits.

The book then discusses the "commercially assembled lab kits." It mentions three suppliers and specifically recommends one, Hands-On Labs. I have personally interacted with all three suppliers. Is this book really a very long commercial?

Very importantly, this book completely ignores an important and viable alternative to lab kits, while emphasizing the kit positives and downplaying their negatives. For over a decade, prerecorded real experiments have been available at much lower cost and much greater science learning capability.

The book goes on to list the rather obvious requirements for an online science course. This list may be useful to the novice but should be well known to any experienced instructor.

Much of the book is devoted to running an online science course, including how to avoid cheating on lab reports. That's a difficult proposition that would be made easier were the data not capable of being copied. Even hands-on, in-school labs have this problem.

"Possession of a lab kit does not guarantee that students will actually perform their lab work, but because lab kits are not cheap, it is likely that students who purchase them will actually perform their own lab work and not waste such an expensive investment." This statement is utterly untrue. Students spend much more money on tuition yet constantly seek ways to "game" the system to get better grades. If a student can buy a grade by purchasing a lab kit and doing nothing more, you can be certain that many will.

The book mentions "access dates." Yet, lab kits have no built-in method of tracking actual usage.

The remainder of the book retraces the discussion of various approaches to online science education, again leaving out the one real alternative, prerecorded real experiments. It constantly harps on LabPaq as if you had no other choice.

Let's face it. Online education is the future. We don't know exactly how that future will play out, but it must happen. Science happens to be a particularly difficult part of that future. If you're willing to pay for them, lab kits can play a role. However, they have their problems. The cost is one problem. Another is monitoring students. There's also the rather cookbook nature of most kits, the included manual with strict step-by-step instructions, as they must be for liability concerns.

This book is very correct in its condemnation of simulations. They have their place in learning, but it's not as lab replacements. Furthermore, this entire book places little emphasis on middle school high school, and non-science major college science instruction. But that's where our nation's primary problems lie.

For those who are not majoring in science, all of the equipment manipulation and detailed procedures are unimportant. What must remain after the course is not how to operate a burette but how to think as scientists do, understanding the nature of science, and appreciating the complexity and ambiguity of empirical work. Long after students forget the stages of mitosis, they will be able to use their newly developed thinking powers to improve their lives. They'll have Carl Sagan's "baloney detection kit" well in hand.

How can this all be accomplished by middle schools, high schools, and colleges (for non-science majors)? Reduce the number of hands-on labs. Use kitchen labs for kinesthetic experience if the course is online. Add in the excellent learning experience of prerecorded real experiments. They come with highly interactive software that has students taking their own individual data from real experiments while using their own care and judgment. The data are not predetermined. The experience truly is authentic.

Importantly, this experience can improve the educational experience while reducing costs and raising achievement.

This approach is unique, patented, and a decade old. Over 100,000 students have already experienced this approach with great success. Colleges, high schools, and middle schools, both online and traditional, are using it today. Don't be pushed into spending big bucks on lab kits until you've analyzed the alternatives. This book left one out, and the HOL people know about it. Ask why they don't want you to know.

© 2011 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Sunday, December 08, 2013

Smart Science® Labs Go Mobile

In a major new release of Smart Science® online hands-on labs, they're now mobile with HTML 5.  Using the Google Web Toolkit, the new software is more accessible for the handicapped and available on a long list of devices.

The world's only online hands-on labs and best way to learn science are now available on a long list of web devices including:
  • Android tablets
  • Android phones
  • iPad
  • iPhone
  • Chromebook
  • Laptops and desktops
    • Linux
    • Windows
    • Mac OS X
    • various Unix systems
In fact, any system that supports the CANVAS and VIDEO tags of HTML 5 will run Smart Science labs now. Just be sure that Javascript is enabled.

For a quick preview and check of compatibility, see our home page and click on the "TRY OUR NEW HTML 5 LITE DEMO NOW"  link in the upper right corner.

Smart Science online hands-on labs have been bringing real science to the online world for over a decade.  With more than 150 labs and different reading and math levels for content, these labs will meet your science learning goals, including NGSS and America's Lab Report.

Finally, you can have the world's best science learning at your students' fingertips anywhere they have Internet access and on their own devices.

© 2013 by Smart Science Education Inc., U.S.A. www.smartscience.net
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California State University to Use Smart Science Labs

I am very proud to announce that Smart Science Education Inc. has a contract to supply our online hands-on science labs to the 23 campuses of the California State University, the largest university system in the United States with over 400,000 students enrolled.

Smart Science® labs are the only virtual labs developed outside of the CSU system to be chosen for use in the program to add virtual labs to science courses at CSU campuses.  This action comes as a result of a mandate by the state's governor to remove system bottlenecks in all state colleges, including the University of California and the California Community College system.  With rising enrollments, available lab seats have held back many students from graduating on time because of the necessity of fulfilling a laboratory science requirement.

The Smart Science approach to online labs differs from all others in that it uses real experiments, video recorded, and has sophisticated software that allows students to take their own data using their care and judgment just as in typical classroom labs.  This approach is patented, and more patents are in process.

The point of science labs should be to do real science, to inquire,  investigate, and discover.  In general education classes, there's no real necessity for learning laboratory technique.  It is, however, crucial to have an understanding of the nature of science, to develop scientific thinking skills, and to appreciate the complexity and ambiguity of empirical data.  In many instances, Smart Science explorations fulfill these goals better than the traditional lab experiences.

© 2013 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Thursday, February 07, 2013

Remote Robotic Labs and Smart Science® Explorations

Recently, someone asked about the differences between remote robotic labs and the Smart Science® exploration online hands-on labs. This question may arise in the minds of many.

The various remote robotic labs (RRL), including MIT's iLab, are different in some important aspects. Because our approach is so different, educators often have trouble understanding the differences compared to approaches with which they may be familiar.  This explanation should help to clear up any questions.

A RRL provides data automatically. You set up your parameters, whatever those may be, and push a virtual button. Often, you see nothing transpire at the remote site. After a brief pause, you're handed a sheaf of data electronically. For advanced students, that may be just fine, but for ordinary students, all of the trouble of setting up the RRL has been wasted. You might as well have stored the data from yesterday (or last year) along with any imagery and provided that. In that event, you could have just provided this information locally. The students wouldn't know the difference and probably wouldn't even care.

RRLs have limited range. They cannot do Sordaria crossing over or seed germination experiments. You can imagine doing tides, but the real-time aspect is lost because students are not there in real time the entire time that data are being captured. And so it goes. You cannot base an entire biology or chemistry course on just RRLs.

RRLs have limited access. If you attempt to scale RRLs, you must have more pieces of expensive or unique equipment. Depending on the precise experiment being run, the time that the machine is available controls how many students can use it during a given hour-long period. It's not unlimited. You know that you cannot deliver to a million students per hour and probably not even to a thousand.

Our approach takes the online hands-on lab (OHOL) path. We toss out the pretense of real-time experiments. (I say pretense because there's always a delay between data capture and arrival at the student workstation.) In its place, we open up entire new vistas of learning science.

The OHOL way does not deliver data automatically. Students truly must interact to take their own data. As in the tides example, those data are different for different students doing the same experiment with the same parameters.

With OHOL, you have a visual experience. With tides, you watch the actual tides and then measure them yourself.

An OHOL can be created for any experiment you can record on video and take data from. The data may be quantitative, semi-quantitative, or qualitative. They are your data, not those of a machine. The experiment videos may be from a high-speed camera or from a time-lapse camera. They may even combine multiple cameras as with the shadows lab where one camera follows the Sun with a fish-eye lens and the other tracks the path of a shadow.

What do OHOLs and RRLs have in common? None of the data are invented. They all come from the real world. The various forms of real wet labs also have this feature. However, only manual wet labs and OHOLs are truly hands-on in the sense that you take your own data point by point.

Our technology allows for an unlimited number of scenarios. We're only limited by our imagination and our resources. We have done as many as 100 experiments to create one lab. The number of experiments available is also a function of the pedagogy. Students can be confused by having 30 experiments available. Some will think that they must do every one rather than exercise judgment (actually think) despite our telling them otherwise. It becomes the instructor's task to handle this issue because instructors control grades, and students who do every single experiment available are doing so because they think they'll improve their grades. The instructor must convince them that lack of thought will reduce their grades. Our best efforts cannot do so because we do not hand out grades.

There's much more to this picture. For example, we insist on students making predictions before beginning experiments. We provide introductory (pre-lab or formative) assessments and summary (post-lab or summative) assessments. We provide extensive background resources and an online lab report that can be customized for your classes.

The above is not to say that RRLs have no value. On the contrary they are the go-to labs of the future for college engineering courses. They open up the use of expensive equipment that many schools cannot afford to undergraduate engineering students. They have limited use for college science courses. The limitations are those of the medium that requires complete automation and relatively quick experiment completion. They're of little value in K-12 education. You can find better ways to learn any science concept at that level, with the possible exception of advanced or honors courses and then, as with college science, only with a very few investigations.

© 2013 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Wednesday, January 23, 2013

NGSS Have Problems

You can read a review of NGSS at http://etcjournal.com/2013/01/22/next-generation-science-standards-fall-flat/.  However, that's not the entire story.  Here's the rest of the story.

In the NGSS, "crosscutting concepts" are concepts that span all disciplines of science and engineering and help, according to the authors, to tie the standards together.  As a chemist, I look at those associated with chemistry standards.  I also look most closely at high school standards to see what the highest level of the standards do.

The crosscutting concepts in high school chemistry (Structure and Properties of Matter and Chemical Reactions) are listed as follows:

  • Cause and Effect
  • Systems and System Models
  • Energy and Matter
  • Structure and Function
  • Stability and Change
  • Patterns
The one crosscutting concept I see missing here is Obtaining First-Hand Data from the Real World.

Science is about exploring the real world and is an open exercise that explores what really happens, not what should happen in an ideal system.  While ideal systems are used as models against which to compare real data, scientists don't really care about models except as a tool.

Here's one sample standard that exemplifies the approach of the NGSS.

Analyze and interpret provided data about bulk properties of various substances to support claims about the relative strength of the interactions among particles in the substance.
 The standard does not specify whether the provided data are to be real or manufactured.  In this instance, you might infer that data are real.

In the section on Forces and Interactions, you'll find the following standard that is much less clear.

Analyze data to support the claim that Newton’s second law of motion describes the mathematical relationship among the net force on macroscopic objects, their mass, and acceleration.
 From where do these data arise?  Is it from student experiments, from teacher experiments or demonstrations, or from a formula?  Very often, the data will come from a simulation, e.g. a formula.  You can expect teachers, when allowed by their state and local standards, to resort to this easier and more "reliable" approach whenever possible.

What does it mean to analyze manufactured data?  Here, you're using F=ma to generate data, and those data are then used to infer that the model they represent is F=ma.  This sort of thing is ludicrous.  I'd use stronger language but refrain out of respect for the reader.

This is a closed cycle.  A formula generates data that are used to verify the same formula.  In science, however, it's always an open system.  Data come from the real world, or as America's Lab Report  (ALR) says, "the material world."  Indeed, ALR insists that data originate in the material word in order for an activity truly to be a science investigation.  Ultimately, these data are analyzed and may result in a model of the real world.

The difference is as night and day.  Where ALR focuses on student actually obtaining their own data for the most part, NGSS has students working with provided data.  Is there no hope?

Later on, the following standard provides some relief.

Design and conduct an investigation to support claims about how electric and magnetic fields are created.
Here, students must do experiments and collect their own data.  However, there's one minor problem as the Clarification Statement shows.
Qualitative observations only.
So, here is the one actual piece of lab work in HS.Forces and Interactions, and it's entirely qualitative.   You cannot do much with purely qualitative data.

Finally, under Energy, you can find a real lab.

Design and conduct an investigation to support the claim that the transfer of thermal energy between components results in a more uniform energy distribution among the components of a closed system
In this standard, students are requested to "[use] mathematical thinking to describe the energy changes both quantitatively and conceptually."

That's it for the physical science portion of the standards.  One quantitative investigation and one qualitative one -- for an entire year of physical science or for two years of chemistry and physics.

To be fair, these are "core concepts," and states, districts, and teachers are free to add to them and extend them.  However, if the states and districts do not mandate laboratory investigations, then teachers will tend to avoid the extra time and budgetary stress of true lab investigations.

I find these standards to be rather shallow for leaving out important concepts (e.g. the mole) and for failing to insist on more first-hand quantitative investigations.

They've become so enamored of their cross-cutting concepts and of integrating engineering into science that they've lost the very essence of science.

© 2013 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Thursday, March 29, 2012

Ravitch Ravages Reforms

Prof. Diane Ravitch has written a piece on education reform that has been reproduced in the Washington Post's blog by Valerie Strauss: 
http://www.washingtonpost.com/blogs/answer-sheet/post/ravitch-the-toll-of-school-reform-on-public-education/2012/03/27/gIQADjVEfS_blog.html

You'll find the original here:
http://blogs.edweek.org/edweek/Bridging-Differences/2012/03/the_pattern_on_the_rug.html

There's much truth in what Diane Ravitch says and some exaggeration. She puts every single effort at improving our educational system in the same pot, tars them with the same brush. However, education is not so simple.

What's so bad about having some core standards that we can adopt nationwide? Only one thing -- that these might be the beginning of ever tightening national controls instead of a set of basic standards that can be adjusted periodically to allow for changes and to adjust based on feedback. We have to start somewhere. Our current Babel of standards is confusing to everyone and very costly. It's easier for states and districts to build on a foundation than to do all of the work themselves.

What about charter schools? These were intended by the most altruistic educators as laboratories for new ideas. They quickly morphed into a new way to make money. The average charter school has results similar to the average public school. Charter schools should remain a small percentage of the overall number lest our public schools be turned into places for our most challenged students to fail.

How about online education with ratios of 1:100 or even 1:200? I know of online teachers with 1:450. A high school teacher with five classes of 30 has a ratio of 1:150. The ratio of 1:100 doesn't seem so scary any more. Technology does allow more students per teacher without loss of quality, but not all technology delivers on this promise. Some even worsens the situation. There's no reason why education should not gain from advances in technology. It should free our teachers from much of the drudgery of teaching to become the inspiring mentors that most long to be. It should allow our best teachers to reach and influence and inspire more students. That outcome should be considered a good thing.

Teachers' unions have been demonized to a greater degree than they deserve. However, by the expedient of putting job security ahead of pay, they've contributed to this perception. There's no easy answer here, but neither removing teacher unions nor enshrining them is the answer. I'd like to see some try out a sliding scale of semi-tenure. You might give teachers longer contracts as they accumulate seniority, for example. At fifteen years, you could provide a ten-year contract, essentially until retirement.

Prof. Ravitch is right to raise the alarm about "reforms." These reforms are often about some political goal and have nothing to do with improving education. However, she should reduce the volume by a few decibels and not toss every possible change out. Doing as we have been doing is not the solution either.


© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Wednesday, March 21, 2012

A Flaw in America's Lab Report

In 2005, the National Research Council published America's Lab Report: Investigations in High School Science (http://books.nap.edu/catalog.php?record_id=11311). This report delivers a scathing indictment of the “typical” lab experience for high school students. It also provides solutions to this sorry situation in the form of a definition for a science laboratory experience, seven goals for the experience, and four integration goals to ensure that science labs fit well into the overall student learning experience. The report covers a great deal of ground including the history of science labs in education.

In discussing science laboratory history in education, the report makes a mistake. This mistake may appear trivial. However, it unveils a serious flaw in how people perceive the history of education. We should not focus only on education errors in the early years but should also examine the successes. There's another problem as well with the following two paragraphs that are taken from pages 19 and 20 of the report.
In these early years, American educators emphasized the theoretical, disciplinary goals of science education in order to prepare graduates for further science education. Because of this emphasis, high schools quickly embraced a detailed list of 40 physics experiments published by Harvard instructor Edwin Hall (Harvard University, 1889). The list outlined the experiments, procedures, and equipment necessary to successfully complete all 40 experiments as a condition of admission to study physics at Harvard. Scientific supply companies began selling complete sets of the required equipment to schools and successful completion of the exercises was soon required for admission to study physics at other colleges and universities (Rudolph, 2005).
At that time, most educators and scientists believed that participating in laboratory experiments would help students learn methods of accurate observation and inductive reasoning. However, the focus on prescribing specific experiments and procedures, illustrated by the embrace of the Harvard list, limited the effectiveness of early laboratory education. In the rush to specify laboratory experiments, procedures, and equipment, little attention had been paid to how students might learn from these experiences. Students were expected to simply absorb the methods of inductive reasoning by carrying out experiments according to prescribed procedures (Rudolph, 2005).

The references are to the following cite: Rudolph, J.L. (2005). Epistemology for the masses: The origins of the “scientific method” in American schools. History of Education Quarterly, 45(2), 341- 376.

It's easy to be arrogant about people's ideas from over 100 years ago. We know so much more now or think that we do. Prof. Hall was the person who discovered the Hall Effect. He developed a series of experiments for students and published them in a pamphlet issued by Harvard University in 1887. The final, revised edition of this pamphlet appeared in 1889 and was superseded by a book, A Text-Book of Physics Largely Experimental (Hall, E. H. and Bergen, J. Y., Henry Holt and Company, New York, 1895) with an original copyright date of 1891. The quotes herein are taken from the 1895 edition.

The number of “exercises” in the book taken from the pamphlet is 46, of which Prof. Hall suggests that any six may be omitted. Numerous additional exercises fill the book, which runs to about 390 pages including appendices and index.

The introduction, addressed “To the Teacher,” describes his approach to teaching physics through experimentation. Extensive quotes from this introduction will demonstrate that Prof. Hall was not so focused on “prescribing specific experiments and procedures” as America's Lab Report (ALR) and, by reference, the Rudolph paper indicate. Instead, they illustrate that Prof. Hall was very concerned with avoiding that path and providing some real opportunities for scientific thinking among the students using his experiments.

The fact of having a list of experiments that might be done has a definite purpose. Prof. Hall writes, “It soon became evident, in view of the inexperience of teachers and the very different standards and methods likely to be adopted by them, that a special course of experiments, carefully thought out and described with much detail, was needed to make the new plan a success.” (Page iii) His problems were associated with the preparatory school teachers, not with the students.

He goes on to explain, “There could be no doubt that, if the course was to be kept from degenerating into mere perfunctory trifling with apparatus, there must be a backbone of quantitative work, ...” Interestingly, given the historical sequence provided by ALR, Prof. Hall chose his experiments based on “practical utility.” He writes, “An attempt was made to bring together such experiments as would have the most frequent and important applications in ordinary life, in the conviction that these would be, on the whole, quite as interesting and important in every other way as any that could be chosen under a different program of selection.” (p. iv)

In the early 1900s, according to ALR, “[Charles] Mann and others attacked the 'dry bones' of the Harvard experiments, calling for a high school physics curriculum with more personal and social relevance to students.” This statement directly contradicts the intent of Prof. Hall as quoted above. Perhaps, the Hall experiments simply, as so many other efforts in education do, became dated in the eyes of some.

Again, according to ALR, “Students were expected to simply absorb the methods of inductive reasoning by carrying out experiments according to prescribed procedures.” Yet, Prof. Hall takes particular pains to avoid this approach.

This book is intended for the use of the student, to enable him to derive the full benefit of his experimental work; to guide him in his thinking, but not to relieve him from the necessity of thinking.” (p. v)

He points out that conclusions to be drawn from experiments by students are deferred somewhat in the book “in order that the student may have an opportunity to frame one for himself; as to numerical results of the various exercises the book gives little or no hint.” (Page v) Finally, on this same page, he puts the lie to the idea that he's produced a cookbook for physics. “Hence the apprehension that some teachers may have, lest the book may give too much assistance to the students, will probably be dissipated upon careful examination. (p. v)
With regard to the detailed nature of some of the experimental directions, Prof. Hall makes the following statement, “The directions given in this pamphlet are in some cases very minute. They are, however, intended to show how the experiments may be done, not how they must be done.” Without detailed directions, some teachers would be lost, whether or not the students were.

He goes on to say, “... the student ... is placed, so far as this is practicable, in the attitude of an investigator seeking for things unforetold. But this attitude, if rigidly maintained, would be likely to keep him for an absurdly long time upon the study of one set of facts, or induce the habit of loose and hasty generalization. ... He should not be told what he is expected to see, but he must usually be told in what direction to look."

In many ways, we see in Prof. Hall quite a modern approach to teaching science. Students work on experiments that connect to “applications in ordinary life.” They are not told the answers but are left to discover them for themselves. Their inquiry is not “open” nor “directed” but is “guided.”

Prof. Hall concludes, “... the main value of the student's inferences, in themselves, is that they will enable him to understand, and without undue stretch of faith to accept, the established conclusions of physicists, and these conclusions should in the end always be made known to him.” (p. xi) He does not prescribe a method for discussing the student inferences. Today, that might be a class discussion in which all students are invited to contribute their inferences, and the teacher guides to the class to talk about the differences and, ultimately, allows for comparison with the current state of the art.

On an earlier page, he provides a summary of his objectives.

The objects to be sought in the course of experimental physics ... may be stated thus: 1st, to train the young student by means of tangible problems requiring him to observe accurately, to attend strictly, and to think clearly; 2d, to give practice in the methods by which physical facts and laws are discovered; 3d, to give practical acquaintance with a considerable number of these facts and laws, with a view to their utility in the thought and action of educated men. (p. vii)

Thus, the conclusion in ALR that, under the Hall approach, “students were expected to simply absorb the methods of inductive reasoning by carrying out experiments according to prescribed procedures” fails under scrutiny of Hall's actual writing.

There's a larger context here as well. ALR uses a secondary source (Rudolph) in place of a primary source (Hall). Scientists all know that such a procedure is dangerous because it puts the filter of the author of the secondary source between us and the actual material. If the secondary source has some particular bias or even simply has limited the scope of the paper, then important, even critical, material may be left out. The preceding discussion shows that, in this particular case, what all scientists know is certainly correct. The ALR authors should have taken the extra time to complete the research rather than relying on a secondary source.

More importantly, the way in which the history is related suggests that the science teachers of old (100+ years ago) didn't know what they were doing. The implication is that although we may learn from their mistakes, they don't have much in the way of positive ideas to offer to 21st century education. Edwin H. Hall is not the only person of his time thinking along the same lines. An important science education writer in England, Frederick W. Westaway, also wrote extensively on teaching science. Others were also active in the pursuit of ways to implement an inquiry-based approach to learning science.

These people were quite successful in graduating students who could think. The reasons for the lack of success of their methods in taking science education by storm is found quite readily. Westaway writes eloquently about the requirements for teachers using his methods, and you'd be hard-pressed to locate any secondary science teacher who could fulfill them today. The requirements include a broad understanding of many areas of science along with deep knowledge of the history of science and thorough comprehension of the philosophy of science.

Hall says, “Not more than half as many pupils at a time can be directed to advantage as can be heard in recitation: perhaps the number twelve is a fair limit.” (p. vi) Where can you find today a class of twelve or fewer science students? How can we expect in today's circumstances to limit every science class's size to twelve?

Hall makes a point that remains germane today. We can remake curricula, set standards, deploy new science labs, train new teachers, retrain current teachers, and make all of the other changes and interventions we'd like. However, we'll never be able to achieve the ideal of oversight for guided inquiry without a breakthrough of some sort. Twelve is not a viable upper limit for class sizes. Few teacher candidates can reach Westaway's ideals for a science teacher in any reasonable number of years.

ALR makes clear that using simulations as lab experiences fail the students miserably. Yet, computer and Internet technology provides our greatest hope for reaching the Hall and Westaway ideal in today's schools. We must find ways to utilize this technology that will work in classes of 30 or so students and that do not require extreme teacher training.

The goal of adequate student science investigation experience for all students in every science class must be realized. As ALR clearly shows, we are failing our students today by not doing our best to reach this goal. We have the means and a road map (ALR). We simply must choose to succeed.

© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Wednesday, March 14, 2012

What is Innovation?

The new administration talks frequently of innovation as being one of the key ingredients to recovery and future success. It sounds great, but what is innovation?

Would you consider it innovative to add a PDF export button to your word processing program, for example? I wouldn't. Yet, we often see just such sorts of incremental changes being touted as "innovative" or even "groundbreaking." The dictionary definitions (there are many) seem rather bland and run to something like: "a new invention or way of doing something." This sort of definition tends to equate change with innovation, an invalid equation.

I prefer to measure whether some change is an innovation by its impact. Does it make a fundamental difference in the way that things are done? Microwave ovens began as a curiosity that was used at a post office where I worked over holidays to heat vending machine sandwiches. Ultimately, they have really changed how we handle food both at home and in restaurants. The microwave oven is an innovation.

Going way back in time, you will find that the invention of the wheel was innovative. The issue here is moving things. The change was from being able to carry relatively small masses by hand from here to there to being able to move much larger masses more rapidly.

The first step must have been using rollers. You had to constantly pick up the rear roller as it came free and carry it to the front. Someone must have noticed that rollers with smaller middles moved stuff farther before having to more the roller from the back to the front. At some time, the idea of smaller middle was replaced with the idea of larger ends. Once the tools were available to do so, wheels were fashioned and added to the roller, which became the axle. Only one more step of adding a platform with the wheel-axle assembly permanently attached was required to reach the true innovation.

The wheel and axle not only allowed people to move larger masses, they allowed people and goods to move about more rapidly and over longer distances. Commerce was transformed.

In education, we see few innovations. Most classes are still taught as they were 200 years ago. We have books and teachers. Students read books, listen to teachers, do homework, and take tests. The ability to play films in classrooms basically added motion and sound to the textbook (and made it easier to fall asleep in class), but did not innovate. Some films were just better lectures by better lecturers than the teacher, although without being able to interact with the lecturer.

The role of computers has mostly been to make typing, charting, and presenting take less time. These effects are not transformations of learning.

Online learning looks like it may truly be an innovation. Students can learn at their own pace and at convenient times. It's possible to track student progress and success and intervene as necessary. We've passed through the "curiosity" phase of online learning but have not yet reached the full potential of this new mode of learning.

Science labs in secondary education began in the second half of the 19th century. Their emphasis was on practical skills: equipment manipulation, safe lab practices, making observations, collecting data, presenting data clearly, and so on. Still, this approach was an innovative step forward from the previous lecture and read only mode of learning science. Students could, for the first time, experience a part of the life of a scientist instead of just reading and hearing about it. This innovation also paved the way for the next step.

Around the end of the 19th century, science educators such as Frederick W. Westaway and Prof. Edwin H. Hall began to use science labs to help students understand the nature of science and to develop scientific reasoning skills. With this simple change in emphasis, science classes with their labs became a valuable experience for all students, not just those who planned a life in science or affiliated fields. John Dewey recognized this point in the 1920s.

Thus, science education was transformed from a specialty to a core discipline for all students.  Today, we accept that science labs are a necessary part of science learning.  Too few truly scrutinized this assumption.  In 2005, the National Research Council published "America's Lab Report" examining the role of science lab investigations in high school science.  They called for change: more and better labs.

However, shortening instruction time and dwindling budgets have pushed us in the opposite direction.  We can respond with innovation, and I have.  Now, students can run real lab investigations on their own and at their own pace.  I claim that the technology of prerecorded real experiments (PRE) with interactive data collection is a revolution in science education and represents its future.  It's a real innovation in science education that allows teachers to "flip" the science lab.

Support this innovative new idea.  Leave a comment or go to http://www.smartscience.net for contact information and to learn more.

© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net

Simulations Created for Expensive and Dangerous Experiments?

Simulations were invented hundreds of years ago to test models.  That has remained their purpose in science ever since.

Science education is another thing entirely.  Simulations were not invented for education but adapted to it.  The earliest science education simulations that I saw were for projectile motion, hardly too expensive or dangerous.  It was merely convenient for the purposes of visualizing trajectories under different circumstances.  I have reproduced in real life many trajectories without great cost and with no danger.

Some point to the Manhattan Project and the space program as examples of using simulations.

The purposes of the Manhattan Project and the space program are quite different than those in a science classroom.  This analogy fails completely.  Space engineers are not attempting to visualize something for the purpose of learning a new concept.  They're designing equipment.  Ultimately, they do as much real-life testing as possible before committing their devices to space.

Here's my approach to when it's too expensive or dangerous to do the real thing.  Have someone else carefully plan and record those experiments, just as I have.  Do the recordings in such a manner that students can take data from them interactively.  Don't bother to figure out the model because the real world IS your model in this case.  That's the best possible model for science.

You don't have to worry whether the model on which your images are based is correct or not because the real world is always correct.  When you drop an object, it accelerates at a rate determined by mass, shape, size, air resistance, gravity, wind, and any other parameters that may be involved without writing one line of code or using a single equation.

Simulations are great tools for visualizing the unseeable.  They can also be an adjunct to or replacement for videos of difficult-to-understand concepts.  They are not a replacement for good science lab investigation experiences.  Many people think that they have to be that because they're the only alternative to hands-on.  BUT they're NOT the only alternative.

One, very limited, alternative is remote robotic labs.  They don't have interactive data collection and work only on a limited range of experiments.  But, they're real and are online; they do provide access to expensive equipment.

My alternative is to record the experiments ahead of time.  Theoretically, you can record every parameter combination likely to be chosen by students.  Although you've time-warped the experiment, it makes no difference to the students.  They cannot tell that the experiment was performed in the last minute or month or year.  Once those bits get onto the Internet, they become virtual and can be stored for recall at any time.

However, just watching the experiment is not enough.  With simulations, that's all you get, and you get it in an unreal world that I'd even call fake or cartoon.  The real experiment begs you to take the data yourself.  The data are not known beforehand as with a simulation.  Your taking of data has real meaning to you.  It's your data, not the data some programmer set up with an algorithm (possibly flawed and definitely imperfect as a representation of the real world).

So, you get to choose.  Would you have your students investigating an algorithm non-interactively or investigating the real world interactively?  In both cases, they do it online with all of the benefits that flow from that medium.

© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net

Thursday, October 27, 2011

Clear Learning Outcomes

[Author's note:  These subjects have been taken from the goals in America's Lab Report, a groundbreaking report from the National Research Council.  The text and images explain how authentic online science lab experiences meet those goals.]

Design of lab includes clearly stated learning outcomes.
sample goals and objectives
sample activity plan header
Every one of these virtual labs has a full activity plan to support teacher and curriculum writers. The first image above is the header for the plan and includes the purpose and goals of the lab for use by the teacher. The second image is taken from an introduction to one of the lab units and will be seen by both students and teachers.

© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net

Thursday, October 20, 2011

Mastery of Subject Matter

[Author's note:  These subjects have been taken from the goals in America's Lab Report, a groundbreaking report from the National Research Council.  The text and images explain how authentic online science lab experiences meet those goals.]

Enhance student understanding of specific scientific facts and concepts and the way in which these facts and concepts are organized in the scientific disciplines.

example experiment showing mastery of subject matter, wqrm up example experiment showing mastery of subject matter, quiz
example experiment showing mastery of subject matter, vocabulary
In order to use science lab experiences to aid subject matter mastery, labs must have supporting material that helps students. At the upper left, you can see a reduced image of a warm up page. This page includes a brief description, goals and objectives, and a series of questions designed so that students begin to think about the topic and, possibly, to challenge their preconceptions. At the upper right is the beginning of a post-lab quiz that helps students to consider the science investigated with the experiments. Students can review their experimental work and support materials during this quiz.
The lower image shows the vocabulary and scientist mini-biography taken from the same Cell Respiration lab. The vocabulary list links to a hyperlinked list of all words related to this lab.
Not shown above is the Procedure page, which has additional background material on this lab, a procedure discussion when warranted, and information on errors, graphs, apparatus, units, and more. Also not shown are the fully worked out solutions for all quiz questions and the Solution Strategy page that explains principles in more detail and provides some sample worked-out problems.
All of this material creates a greater mastery of the science illustrated by the experiments being performed by the students.

© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net

Tuesday, October 04, 2011

Definition of "Laboratory Experience"

Definition of a Laboratory Experience


"Laboratory experiences provide opportunities for students to interact directly with the material world (or with data drawn from the material world), using the tools, data collection techniques, models, and theories of science."

This definition forms the critical basis for all of the goals specified in America's Lab Report according to Prof. Susan Singer, the lead author of the report. All data from science labs must originate in the material world. That definition does not provide for data that originates from a programmer's pencil: simulations.

Simulations can have pedagogical value, but this value does not include substituting for true laboratory experience no matter how well designed or well integrated the simiulation is.

I will be providing examples of online activities meeting the goals of America's Lab Report that all use data that originates in the material world. In some instances, the online activities have been augmented by hands-on experiments that provide another dimension of experience to students.

© 2015 by Smart Science Education Inc., U.S.A. www.smartscience.net
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Thursday, September 08, 2011

Books about Marketing

If you've created something you'd like to sell or are even considering creating some such thing, you'll immediately run into the issue of marketing.  Few software developers know anything about marketing.

If you find yourself in this predicament, don't despair.  There's a great resource, the ESC Marketing Book Club.  For just $35 per year, you can join the Educational Software Cooperative at http://www.edu-soft.org and participate in this excellent online activity.

Al Harberg runs the online club and summarizes each new book he selects.  People then enter into a discussion of the topic, sharing their own experiences with software and marketing.

Why try to figure out all of those marketing books yourself?  Get the Harberg Digest online plus other members' insights.  Go to the website now and join.

While you're at it, check out the ESC blog at http://educationalsoftware.blogspot.com/.

For a summary of books already reviewed, see http://www.edu-soft.org/content/index.php/esc-book-club.

See you there!

© 2012 by Smart Science Education Inc., U.S.A. www.smartscience.net

Sunday, March 13, 2011

Pay Teachers More

Today, I ran across a column by Nicholas Kristof in the New York Times that surprised me. Mr. Kristof usually writes about things happening around the world. I think that the situation in Wisconsin motivated him to devote a column to this important topic. You can find it here: http://www.nytimes.com/2011/03/13/opinion/13kristof.html.

What I found fascinating about his column is how well he makes his point, marshaling evidence from many sources. He points out that one excellent teacher can raise the lifetime earnings of each student, on average, by $20,000. For class sizes of 20 (small these days) and a lifetime career of 30 years, the impact on our economy of a single excellent teacher over that teacher's career is an amazing $12 million. For the superb master teachers, it's even more: nearly $20 million.

Each year such a teacher works adds future value to our economy at a rate that's eight times greater than a teacher salary of $50,000 for the excellent teacher, and that ratio assumes only 20 students in a class. In New York City, typical classes exceed 30 students and so increase the ratio by 1/2 to 12 times greater.

Doubling teachers' salaries would still provide us with a great deal if we only had great teachers. But, we don't. Mr. Kristof then turns to teachers' unions and nails it. He says that they have misused their clout to ensure job security for teachers instead of better pay. The former rewards poor teachers. The latter attracts good teachers.

He goes on to explain more about our underpaid teachers. Starting teacher pay today averages $39,000 according to Kristof. Increasing it to $65,000 would allow us to fill our teacher vacancies from the top third of college graduates instead of getting nearly half from the bottom third. He suggests that it would be enough to turn our education system around as long as politicians and others stop using our teachers as verbal punching bags.

© 2011 by Paracomp, Inc., U.S.A. www.smartscience.net
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Tuesday, November 16, 2010

Take a Closer Look at Science Education

With Jerry Brown taking over as governor of California and Mayor Bloomberg appointing Cathleen Black as chancellor of New York City schools, the time is right to review what's happening in science education in these two very large school markets. New York City has over 1,000,000 students in its schools, about 1/3 in high school, and the California high school population is estimated at a bit over 2,000,000.

In addition, Texas, no lightweight in education, has begun its RSSM (Request for Supplemental Science Materials), which seeks to certify 100% web-delivered materials for all of the high school science students in the state. Every Texas student must take four years of science, so all 1.3 million high school students are covered by this new requirement.

With so many articles bemoaning our nation's science education, what is to be done? New national science curriculum standards are being readied right now as is a national education technology plan. Neither of these will have substantial impact on the quality of science education. They may help a bit around the edges. Textbook manufacturers and others who create curricular materials will find their work a bit easier if they can begin with a single set of standards instead of 51. Technology does have great promise, but implementation has its problems.

I'm going to digress from my usual approach of leaving my business out entirely or leaving any commercial comment until the end because the situation is so dire. We've dropped from the first-place science education country in the world to somewhere in double digits depending on which data you use.

You cannot ignore the fact that all of the paths to success in science education that are being tried have been tried before. Why should they succeed now?

Some say that science education is being hamstrung by poor math and language arts skills and seek to improve science education by focusing on those areas. That idea appears logical but puts the cart before the horse. After all, science can be taught without complex language or advanced math skills. It's just not the way people usually teach it. Besides, science can be the trigger to engaging students in learning better math and language arts skills.

I created Smart Science® education just to deal with these issues. I looked at highly rated schools and found their science programs often lacking in basic science understanding. They did quite well in producing students who have memorized the materials: words, formulas, and procedures. But, their students did not understand the nature of science and often lacked decent scientific thinking skills.

My analysis indicated that these students simply did not have enough true science investigation (lab) time. Oh, they may have had plenty of science labs, but those labs were either verification labs (answer told to them ahead of time) or technique labs (focused on learning a particular technique). Students did not go into the lab wondering what they'd find.

Even in cases of investigation, the time and availability of materials and apparatus prevented a complete investigation. In addition, many great labs were being eliminated due to new safety requirements and increasingly tight budgets.

I chose to attack our science education failings right at the lab level. Anyone can provide memorization classes and create memorization software to aid in that course of action. However, creating great science labs is not so easy. You must have a number of factors such as:

1. Low cost, or the labs won't be used in most schools.
2. An unknown outcome of the experiments
3. Enough experiments to allow exploration and discovery
4. Data from the material world with systematic and random errors so students learn the nature of science.
5. Students collecting their own individual data point by point while exercising their own care and judgment to extend their understanding of the nature of science.
6. Data analysis made on students' own data to engage students by providing data ownership.
7. Certainty of experiment operation so that entire periods aren't wasted with totally failed experiments.

These criteria can only be fulfilled with the support of technology. Consider a couple of technologies that are being promoted to improve science education, simulations and probeware.

Science animated simulations use a formula to produce data for students to study. In general, they do not produce a data table of individual data points. These simulations violate criteria 4, 5, and 6 above. Using a simulation to mimic a true science lab tends to leave a very inaccurate impression of science in the minds of students: precise and easy. Science is just the opposite. Teachers should reserve simulations for understanding content and not attempt to use them to replace labs, where the nature of science is one of the major outcomes sought.

Probeware provides an efficient way to collect data from the material world. However, this approach violates criterion 5 above and may run into criterion 7 due to failure of the experiment or of the electronics. It also does not truly meet criterion 1, low cost. Probeware should only be used in advanced classes where students have already mastered the concepts of the nature of science to a reasonable degree. Unfortunately, even in advanced classes, the students often enter without having had the opportunity to master those concepts.

Only Smart Science® education, with its patented approach, meets all of the listed goals.

1. In large school districts, purchasing contracts allow students to do entire labs of many experiments for on the order of 25 cents per lab.
2. The labs do not disclose the outcome before the experiments are performed.
3. Each lab has a number of experiments, sometimes more than twenty, to allow a full investigation.
4. All labs use filmed real experiments as the source of data so students get a true feeling for real data with the same sorts of errors they'd get themselves.
5. Each student must collect individual data and cannot simply copy someone else's data; their own care and judgment affect the results.
6. Students analyze their own data; they even determine how much data to take.
7. Prerecorded experiments ensure success.

There's simply no other system for science investigation that matches Smart Science® education.

The above does not preclude traditional hands-on experiments. Rather, it embraces them. Many Smart Science® labs have a hands-on component so that students can have a kinesthetic experience and have the opportunity for experimental design beyond that available in prerecorded experiments.

Furthermore, Smart Science® labs are suitable for homework. Students can do a hands-on lab in school and then go home and expand that experience enormously with the platform-independent, 100% web-delivered Smart Science® system.

We must improve science education dramatically. All of the paths being trod today are old ones being revisited except for this one. The Smart Science® approach as been adopted from very successful programs in the past. These programs were successful in outcomes but were incapable of scaling to the entire population because of their high cost and difficult training requirements for teachers.

Those impediments can now be overcome with technology. The patented technology of Smart Science® education does exactly that.

Other measures must also be taken to succeed. For example, we must recruit the best possible science teachers and provide them with excellent tools for classroom use. Yet, these measures will take time. Implementing Smart Science® education can be done immediately so that its benefits can begin to be felt today.

The Smart Science® technology currently has implementations for grades 6-13. We have designs to add grades 1-5 so that this remarkable technology be used throughout every student's education beginning at first grade and continuing through the first year of college. We also can expand its capabilities to augment the lab experience beyond the freshman year of college.

Smart Science® education can revolutionize science education.

© 2010 by Paracomp, Inc., U.S.A. www.smartscience.net
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Wednesday, July 07, 2010

Educational Software Cooperative

Sometimes something just makes sense.

People who write software for education have a large hill to climb, especially if they're doing it alone or in a small group.

After all, how many people can write great software, understand the pedagogical aspects of good educational software, run a business, do market research, perform marketing, make sales calls and close sales, design web sites, establish marketing channels, write contracts, negotiate deals, perform bookkeeping, handle all tax filings, and so on?  What is the minimum number of people required to do all of these functions well?

If you don't have these skills and don't have associates who can fill in the blanks, then you'd better have enough money to hire those who do -- or have a great support group.

The Educational Software Cooperative with a blog at http://educationalsoftware.blogspot.com/ is just such an organization.  Members include developers, publishers, distributors, and users of educational software.  While anyone can participate in the group on its public forum, the real advantages stem from its members-only forum.  That's where Al Harberg hosts his world-renowned ESC Marketing Book Club.  Each month, Al selects a book on marketing.  He provides excellent summaries of the topics in each chapter, a sort of "Reader's Digest" of great marketing books.  Members comment on their perspectives of the current topics.

You cannot help but gain great understanding of marketing educational software this way because Al goes out of this way to interpret the books specifically for educational software developers.

Each year, the ESC presents an award for Outstanding Achievement in Educational Software.  The submission rules are being revised for the 2011 award, and the 2010 award will be announced soon.

I just makes sense for anyone who's involved in educational software in any capacity to join this stellar group of dedicated professionals.  The membership fee is very modest; you can't lose.

© 2010 by Paracomp, Inc., U.S.A. www.smartscience.net
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Saturday, July 03, 2010

What is Science?

For those educators out there, please understand that I know that doing science and doing science education are very different. In many ways, the latter is more difficult than the former.
I'll quote a person whom I met and spent some time listening to. I only know him though his works, although my time watching and listening to him at Caltech brings the written transcripts of his words to life in my mind.

Richard Feynman, speaking to an NSTA meeting, said, "In order to talk to each other, we have to have words, and that's all right. It's a good idea to try to see the difference, and it's a good idea to know when we are teaching the tools of science, such as words, and when we are teaching science itself." You can find his complete transcript at http://www.fotuva.org/feynman/what_is_science.html.

I've found this concept very difficult to explain to people, even those who teach science. I happen to believe very strongly that understanding this difference, really understanding it with all of its implications, is critical to teaching science.

If you do not understand the difference, you can readily fall into the trap of teaching the tools of science and not teaching any science at all. The tools of science are easier to teach and to test for than is science.

So, when you teach students how to do a chemistry lab procedure, you're teaching a tool of science and not teaching science. When students learn the phases of mitosis, they've learned no science at all. Learning that planets and moons travel in elliptical orbits is not learning science -- unless you figured that out all by yourself.

How do you know when you've learned some science? Feynman has a test you can apply. Like all tests, it's not absolutely perfect, but it will work when words are involved, especially for young children. Here's his test.

Without using the new word which you have just learned, try to rephrase what you have just learned in your own language.
This is vintage Feynman, clever and succinct.

However, this idea will not completely explain science to those who don't really understand it. Some will insist, for example, that science is observation. Like words and procedures, observation is an important tool of science. But observation is not science. Here's Feynman again.
Suppose I were told to observe, to make a list, to write down, to do this, to look, and when I wrote my list down, it was filed with 130 other lists in the back of a notebook. I would learn that the result of observation is relatively dull, that nothing much comes of it.
It's not enough to observe and record. You have also to think. In addition, you must realize that many observations do not lead to new ideas.Too often, science classes force students to make lists, to observe, without thinking. My son's high biology teacher had students fill a notebook with tree leaves. And that was the end of the exercise.

Frequently, teachers have their students perform some activity and make a record. Then, they take students figuratively by the hand and show them how these observations lead to some wonderful conclusion about science. Everyone says, "Wow. That's wonderful." This approach leads students to believe that every observation leads to science. Not so.

To do science, you must engage your mind scientifically, and you must be patient. To teach science, you must help students learn how to engage their minds scientifically and to be patient. Few science classes provide these insights to students, except possibly as just words. Fewer give many real opportunities to learn these concepts by the work the students do.

Yes, I know that there's not enough time, not enough money for equipment, etc. It's hard enough to get students just to listen and to learn the tools of science (words, formulas, procedures, etc.). But that attitude (which is correct as far as it goes) misses the real point. Once students begins to understand science, they become engaged. Then, the learning of the tools becomes easier and sticks better in their minds.

It's like activation energy. It's a tough push up the steep hill initially, much tougher than the gentle rolling hills of learning tools. But, once you get to the top, everything goes forward much better and faster.

© 2010 by Paracomp, Inc., U.S.A. www.smartscience.net
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Wednesday, June 30, 2010

iPad and Science Education

The noise over the iPad is deafening.  Steve Jobs and Apple have really created a huge stir and executed a major marketing coup.  However, what is there behind all of the hoopla for science education in ordinary classrooms?

Take the iPad apart one feature at a time.

Price: At $499 for the minimum configuration, it's more costly than some laptops and many netbooks.  Yet, it delivers less performance.

User Interface: You have to love the user interface, which blows away the others for many applications.  On the other hand, the screen keyboard won't be good for extensive typing, the kind that many teachers assign to their students.

Ports: The few ports make it harder to use this platform with the popular probeware.  I'm sure that Jobs & Co. did not plan the iPad for use in school science labs.  My personal opinion, backed up by some studies, is that probeware gets in the way of learning science by focusing on procedure and automating data collection.  Although many like this approach, I think that it's exactly backward.  You should automate the procedure and focus on data collection and analysis.

 Software Support: The iPad does not support either Flash or Java.  While I have little use for Flash, which infects too many web sites with annoying animations, many educators have found use for Flash animations that help explain difficult science concepts and provide quality visualizations for students.  These students won't be able to view them on their iPads.

The situation with Java really bothers me.  Java provides much more capability than Flash with its limited Actionscript scripting language.  You can find some excellent science learning software written in Java because of its multi-platform capability and the fact that you can write serious software with it.  One example, of course, is my own Smart Science® education system.

Interaction with Screen: For data collection from the screen, you might think that liberation from the mouse would be a good thing.  However, the finger tip has two serious problems as a data collection device.  It's big compared to the pixels on the screen.  You cannot position your fingertip to within a pixel.  Then, even if you could, your finger is opaque.  You cannot see where you're pointing.

Although the touchscreen on the iPad is wonderful for doing many things and for a gesture interface, it fails completely when you try to collect data by pointing at a specific pixel.

The bottom line here goes something like this:  The iPad is a wonderful technological advance but is not ready for mainstream science classrooms.  It costs too much for what it brings to those classes and lacks some really important features.

I do believe that someday, maybe sooner that we expect, tablet computers will be found in the hands of every student in many of our K-12 classes.  The things that will be done in support of learning will be truly extraordinary.  It's not the little red schoolhouse anymore.  And this learning will be available regardless of economic circumstance.  No longer will too many of our young people be denied a great education based on where they are growing up.

© 2010 by Paracomp, Inc., U.S.A. www.smartscience.net
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Saturday, January 30, 2010

The Mars Rovers and Science Education

What does the Mars Rover program have to do with science education -- aside from studying the Mars Rover program?

It makes a useful analogy to science labs in classrooms around the world. That may seem a bit far fetched. As you read this analogy, don't assume it's crazy. Read to the end before passing judgment. You may be surprised at how apt the analogy is.

When NASA designed the Mars Rover program, it had a number of goals and restraints. Assume that it could consider just about any approach and then had to adapt to the goals and restraints, a brainstorming session. What were the range of options available?

At one extreme would be no trip to Mars. At the other extreme would be a manned trip to Mars. In between is the idea of a remote robotic explorer.

At one point during your brainstorming session, a software developer jumps up and proclaims that you can have a software program that includes all known information about Mars. This program can then simulate the data that a trip to Mars, manned or unmanned, might produce. The program not only could produce data but even could put together simulated images of the Martian surface. Just look at the benefis.
  • low cost (compared to a Martian trip)
  • complete safety (no astronauts at risk)
  • short time (writing software instead of building equipment and sending it to Mars)
At another point, a rugged test pilot stands up and says that the only way to explore Mars is in person. Simulations are for wusses and robots are for geeks. Lots of people like this idea, but it has some problems.
  • very high cost (compared to a robotic mission)
  • extreme danger (never been done before, may not be able to return, etc.)
  • very long time horizon (years of preparation, very lengthy trip)
When discussing the options, the simulation idea comes in for some criticism. The scientists tell the software developer that simulations won't generate any real science. They may look real, but they certainly will not match what the actual science will be on Mars. How can they publish papers on Mars using investigations of a simulation?

The scientists carefully explain that computer science is not science in the usual sense. It's actually an engineering discipline that produces tools used by scientists and by society.

In the end, of course, the robotic mission wins out as the least expensive real science option for exploring Mars. The scientists have a number of options regarding how to handle the data from the mission. It could be streamed live continually (sort of), or it could be stored on the rovers and sent later. The received data could be stored in a database and available for retrieval at any time in the future, sort of prerecorded for use by many different people at many different times.

While bringing NASA into this discussion does exaggerate the situation, it also shines a very bright light on how best to teach science, especially the use of science labs. In today's discussions of science labs in science courses, you'll find two extremes: those who insist on 100% hands-on labs and those who, with equal vehemence, insist on using simulations instead.

Fortunately, some are finding middle ground. At MIT, they're working on the iLabs project, which allows real-time remote robotic experimentation. Unfortunately, these labs are mostly engineering labs, and the likelihood of covering a reasonable range of science labs with this technology is very remote at this time.

The fact that all Mars Rover data are stored and usable by many scientists in many locations opens up a different approach: prerecorded real experiments. Images, videos, data, and other information can be stored for retrieval by students. The science certainly is as real as hands-on and remote robotics approaches.

The pedagogy depends on the software and the instructors. People who write the software and create the experiment videos cannot also create the instructors. They can only provide software that's easy to use and instructions for correct usage. Better science teachers know how to incorporate science lab experiences into their classes.

Data collection forms a very important aspect of the science lab experience. Data should not be precollected or automatically collected. Just as in a science lab, students should take their own individual data point by point. Each point represents not just the experiment but also student care and judgment, an important factor in understanding the nature of empirical data.

Each video should tell a story and provide means for collecting experimental data. If the video itself doesn't tell enough of the story, then the lab units should be supplemented with text, diagrams, animations, and videos that complete the story: tell the students enough so that they truly understand the details of the experiment.

Finally, sufficient supporting materials should be provided so that both students and teachers are able to succeed. This approach and list form the basis for Smart Science® education, a system of more than 150 lab units for use in science courses from grades 6 through college.

© 2010 by Paracomp, Inc., U.S.A. www.smartscience.net
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