Archive for the ‘ Philosophy ’ Category

Shut Up and Teach – Or – Why Science Says the Lecture Is a Bad Idea

The notion of replacing or limiting the venerable lecture has been visited in earlier posts (The Inverted Classroom and The Future of the Lecture) but it seems the topic is far from exhausted. Recent research in cognitive psychology published in the journal Science points to another dimension in the problem of lecturing, namely, that people (read: our brains) do not remember much of what they hear in lectures. This may come as obvious to many students and conference attendees alike but this time it’s coming from investigative scientists who have the numbers to prove it.

Backing up a bit, suppose you were asked to design and deliver a class or training session that had to maximize educational outcome – meaning, it had to work as a learning tool more to the benefit of the students than the teacher – no holds are barred, and you knew of a technique that resulted in an 80% improvement over the traditional lecture method. Would you use that method? More to the point, could you justify not using it? Well that is what Deslauriers, Schelew and Wieman found (see Science article below) when they compared the lecture with a more interactive class they designed to teach physics. All things being equal, if you supplant the lecture with a presentation that is designed to work more in accord with how most people learn, test scores go from 41% for the garden-variety lecture class to 74% for the interactive class. Pretty impressive stuff.

So what is the nature of the design of the interactive class? Put simply, research in cognitive psychology suggests that learners will get better results if they use what they have just been given right away. The theme: Deliver new information, play with it, use it to solve problems, evaluate mastery of the skills and concepts, repeat as needed. Deslauriers, Schelew and Wieman’s physics students were hit repeatedly with questions during class that they had to answer with clickers. Students frequently worked in groups where they were challenged to use their new knowledge to solve problems. Lastly, the students were evaluated in part using two class tests rather than the traditional single mid-term exam.

Let’s make it clear, pouring the old wine in a new bottle does not make it sweeter. Content matters. Doing homework in class and listening to lectures at night is not “flipping the classroom.” Recording lectures and putting them on YouTube or iTunes U is no solution:

“A University of Maryland study of undergraduates found that after a physics lecture by a well-regarded professor, almost no students could provide a specific answer to the question, ‘What was the lecture you just heard about?’ A Kansas State University study found that after watching a video of a highly rated physics lecture, most students still incorrectly answered questions on the material.” — David H. Freeman, Discover Magazine

Even in the best cases of well-thought-out well-designed interactive classes some likely criticisms remain. There is an issue with the Hawthorne Effect that needs to be retired, but personal experience suggests that these findings are not surprising or unusual, at least in kind. Another question that surfaces is whether this kind of interactive class lends itself to subjects like literature, philosophy, history or political science. What are the limits of the approach?

Finally, we have to ask why if there is so much evidence and personal experience against lectures do we persist in giving them? The answer might well be wrapped in four prominent qualities of the practice: 1) lecturing is easy and cheap to do; 2) we have been taught to accept bad lectures as normal (for well over a thousand years!); 3), they (certainly the live version) create an illusion of interactivity between the presenter and audience that is not supported in actual observation (see D. Clark below); and 4), they stand as proof by the presenter and/or the institution that the material has been covered and “delivered” to the audience.

Pragmatically, and for the reasons above, lectures inherently favor the presenter and the institution. Lectures originated in a time when books and information were both scarce and expensive and colleges needed to solve a problem of distribution. Closer to the modern era lectures appear to be supported by tacit agreement with the dubious notion that teaching and telling are the same thing:

“The problem is not with the lecture but with the idea that receiving information is the key part of learning.” — Dominik Lukeš

The notion that the lecture’s time has come is finally reaching the Academy. Educators like Graham Gibbs (see below) have been questioning its value for over thirty years. More recently university professors like Stanford University’s (formerly) Sebastian Thrun have had their own epiphanies on the matter:

Mr. Thrun told the crowd his move [away from Stanford] was motivated in part by teaching practices that evolved too slowly to be effective. During the era when universities were born, ‘the lecture was the most effective way to convey information. We had the industrialization, we had the invention of celluloid, of digital media, and, miraculously, professors today teach exactly the same way they taught a thousand years ago,’ he said.” — Nick DeSantis, Wired Campus

Dr Wieman likewise has his own concerns about his colleagues and the future of the lecture in science instruction. As recorded by David Freeman of Discover Magazine:

“But scientists who teach have proven reluctant to toss out the lecture, never mind the evidence that it doesn’t work. ‘They say this is the way it’s always been done, and it was good enough for them, so it’s good enough for their students,’ Wieman says. Were this attitude to hold in medicine we would still be bloodletting, in physics we would be trying to reach the moon with very large rubber bands, and in economics we would still be suffering major worldwide financial crashes. (Well, physics and medicine are advancing, anyway.)” — David H. Freeman, Discover Magazine

What seems certain is that we are on the foothills of a major shift in what happens in the classroom. What develops in terms of the effects on corporate, college and military training remains to be seen. After all, it might not result in a single universal one-size-fits-all form. How this upheaval in teaching feeds into distance learning and web-based training is another discussion that almost certainly has to rear its head. The resultant form of the instructional process is anybody’s guess, but what is certain is that whatever it evolves into, whatever we see as the best fit for our instructional purpose, teaching well will remain hard work.

References.
Freeman, David, H., Impatient Futurist: Science Finds a Better Way to Teach Science

http://homepage.ntu.edu.tw/~jiayang/me1005/2011f/2011%20Science-%20Improved%20learning%20in%20a%20large-entrollment%20Physics%20class.pdf

Gibbs, G., “Twenty Terrible Reasons for Lecturing,” SCED Occasional Paper No. 8, Birmingham. 1981.

Clark, Donald, “Don’t Lecture Me” – ALT-C 2010.

Clark, Donald, “Lectures selling students short: evidence from ‘Science’

Lukeš, Dominik, “Putting lectures in their place with cautious optimism

DeSantis, Nick, “Tenured Professor Departs Stanford U., Hoping to Teach 500,000 Students at Online Start-Up

Deslauriers, Loius, Schelew, Ellen and Wieman, Carl, “Improved Learning in a Large-Enrollment Physics Class” Science 13 May 2011: Vol. 332 no. 6031 pp. 862-864

 

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The Curvilinear Classroom – Is Linearity Optional?

AllThingsD Early Adopters ran a quote in their Voices section from an article at PCPro that reads like a page right out of Marshall McLuhan. Echoing McLuhan’s return of acoustic space and the role of the mosaic in everyday life, Dr Rosie Flewitt of the Open University comments on how the modern learner might be shifting from sequential linearity toward a simultaneous gestalt:

“E-learning experts argue that withholding computers at a young age could actually deprive children of modern communications skills. ‘One area of literacy that’s changing is the order in which things are presented – it isn’t linear, it’s organised spatially, and often some meaning is carried in the design, layout, images, sounds, movement, subtle changes in colour in a game – it’s all part of what literacy is in today’s world,’ says Flewitt. ‘These are fundamental changes to operational literacy, the biggest since the printing press.‘ ”

Naturally some question is left as to whether this effect is limited to young children as a group or if one can detect a tendency toward acoustic involvement among younger participants in college classrooms and corporate training centers. The main point, however, is that linearity might already be optional in the classroom, where new and different styles of presentation and involvement might be called for in order to better reach the audience.

To contrast Dr Flewitt’s comment on linear versus spatial literacy, consider this synopsis of McLuhan’s acoustic space by Library and Archives Canada:

“The key characteristic of acoustic space is that it engages multiple senses at the same time. It does not demand that objects be dissected to be understood; rather, the multiple parts co-exist simultaneously. To understand acoustic space, you must perceive all of it, not focus on one part. In other words, acoustic space demands that you apprehend figure and ground simultaneously, that the senses work together. McLuhan believed that oral cultures existed in acoustic space since their primary mode of communicating was speech.”

In this interview with Nina Sutton, Mcluhan explains the rise and dominance of visual space from the phonetic alphabet forward: McLuhan on Acoustic Space.

As a sidebar it is interesting to note that McLuhan eventually dropped the use of the term Global Village from his work preferring the term Global Theatre instead. Apparently Global Village goes back to the advent of radio while the notion of the Global Theatre is more a part of Sputnik, television and modern global communications.

References.

AllThingsD: Early Adopters

PCPro: How Much Tech Can Children Take?

Library and Archives Canada: Old Messengers, New Media: The Legacy of Innis and McLuhan

McLuhan, Marshall. The Gutenberg Galaxy. Toronto: University of Toronto Press, 2011.

The Playboy Interview: Marshall McLuhanPlayboy Magazine (©1969, 1994) by Playboy. Download here in PDF: (mcluhan-playboy).

 

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Maybe This Is What’s Missing – Or – It’s Only Work If You’d Rather Be Doing Something Else

Source: MIT

Substitute (instructional design | course development | teaching | writing | learning) where you see “research” and “physics” in the excerpts below.

 

“But when it came time to do some research. I couldn’t get to work. I was a little tired; I was not interested; I couldn’t do research!… And then I thought to myself, “You know, what they think of you is so fantastic, it’s impossible to live up to it. You have no responsibility to live up to it!”… Then I had another thought; Physics disgusts me a little bit now, but I used to enjoy doing physics. Why did I enjoy it? I used to play with it. I used to do whatever I felt like doing – it didn’t have to do with whether it was important for the development of nuclear physics…. So I get this new attitude… I’m going to play with physics, whenever I want to, without worrying about any importance whatsoever. Withing a week I was in the cafeteria and some guy, fooling around, throws a plate in the air…. I had nothing to do, so I start to figure out the motion of the rotating plate… And before I knew it (it was a very short time) I was ‘playing’ – working, really – with the same old problem that I loved so much, that I had stopped working on when I went to Los Alamos; my thesis-type problems; all those old-fashioned wonderful things. It was effortless. It was easy to play with these things. It was like uncorking a bottle: Everything flowed out effortlessly…. There was no importance to what I was doing, but ultimately there was. The diagrams and the whole business that I got the Nobel Prize for came from that piddling around with the wobbling plate.” – Richard Feynman, excerpts from Surely You’re Joking, Mr Feynman

 

There. How does that make you feel? More importantly, how does that make you feel about your work? Worth a try, isn’t it? After all, if Feynman had not realized the connection between play and learning he might have stayed in funk much longer and, perhaps, missed the opportunity to experience the pleasure in discovering something really interesting. (I am tempted to end the last sentence with something like “…that ultimately led to a Nobel Prize in Physics,” but I know enough about Richard Feynman to avoid that one. He would be quick to say that nothing he did was ever about winning a prize.)

 

Attribution

Miki at PythonWise

References

Surely You’re Joking, Mr. Feynman (PDF)

Surely You’re Joking, Mr. Feynman! (Adventures of a Curious Character)

The Pleasure of Finding Things Out: The Best Short Works of Richard P. Feynman

The Feynman Lectures on Physics

Six Easy Pieces: Essentials of Physics Explained by Its Most Brilliant Teacher

Related Posts

Cargo Cult Science and Education

 

 

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Learning from the Khan Academy

At first glance Salman Khan appears a most unlikely revolutionary. Although well educated (note: he is neither an educator nor a psychologist) he has nonetheless, and from most accounts, single-handedly ignited a revolution in teaching that any “real” educator, government administrator or instructional designer would be proud to lay claim to.

What started as simple private tutorials in math for his cousins – utilizing what he describes as about $200.00 in computer accessories and shareware – Khan drew upon his innate interest in education (along with perhaps his own personal frustrations as a student) to craft a series of screen capture how-to guides for solving high school math problems. As word spread among friends and family members, viral interest forced Khan to move his homespun videos to YouTube to service his burgeoning audience, completely for free. The rest, as they say, is history.

At present the Khan Academy (a not-for-profit educational organization founded in 2006) has served over 51 million views from a library of over 2200 videos. In addition to math and physics, topics now embrace history and biology. School districts and major corporations are attempting to use and develop his methods for their own internal applications. Donations from private sources and the likes of Google and the Gates Foundation have subsequently allowed Salman Khan to quit his day job and devote his energies full-time to the development of his Academy and the distribution of educational programs worldwide (“providing a high quality education to anyone, anywhere”).

Looking over Khan’s presentations on his methods you begin to wonder what makes the Khan Academy so successful. After all, this isn’t the result of a major educational research program, a sweeping government initiative, or a mass popular movement in educational reform. Further, what makes the Khan Academy even more interesting is that Khan’s tutorial method is not so much ingenious as it is ingenuous.

In several of his talks Khan is fairly straightforward in his assessment of what makes his method work. First and foremost, as Khan attests, each of the videos offers a lesson on a single concise topic (a “concept”) for no more than about 10 minutes. One key idea, cut in a bite-sized chunk, for a period not to exceed the boredom threshold of the average viewer. Given that the videos are recorded and stored online, the presentations can be played any time and repeated as needed by the student until he or she feels comfortable to move forward.

Another feature of the tutorials is the general tone they are given in. As Khan describes it, they feel like they are coming more from a friend than a teacher. You have a sense that Khan is there with you, sitting by your side, leading you through the problems with a pencil and paper. They are down-to-earth, enthusiastic and rigorous without a trace of giddiness, pomposity or pedantry. The student feels like “…there is an individual who cares about you,” Khan says. The student comes away with a sense that the instructor wants to help him or her over the obstacles in the landscape because he has been in the student’s place himself and sympathizes with the struggles that lay ahead.

Drilling down a layer into the Khan Academy’s unique style reveals even more about what makes the “secret sauce” special. Each of the bite-sized topics that are referred to previously are in fact carefully culled and curated learning objects. The trick, of course, is to first know the subject well enough to select which topics to present and in what order. Following that, the teacher must distill the concepts to their absolute essence.

This distillation process is, to all who have tried it, much harder than it looks. In fact, the ability to select and summarize complex material and ideas, rather than resorting to the indiscriminate slathering of a PowerPoint slide with bullets, might be one of the hallmarks of an educated mind. Clearly, Khan groks it.

Despite the thought and planning that goes into Khan’s presentations they can hardly be accused of being over produced. This is not Pixar doing technical training. If anything, the digital blackboard and colored chalk renderings show the human side of learning and mastery. The notes and diagrams often appear rough and awkward, but they are at the same time quite genuine, funny and sometimes – to the advantage of the learner – mistaken. As Khan explains it, he is often in the place of the learner and, in contrast to many schools and universities, has not rehearsed the solution beforehand, offering the student the patented procedure. Instead he lets the students witness his own thought processes as he wrestles with the problems and sometimes wanders down the wrong path from which he has to back out and start again – just like a real student.

Nowhere in Khan’s methods can be found any of the bells or whistles of modern post-industrial pedagogy. No Flash animation, interactivity, games, social networking tools, 3D graphics or monolithic learning management systems are to be found. In fact there is little beyond a virtual blackboard and some equally virtual colored chalk. You don’t even see Khan’s face.

The faceless almost tactile sketches and equations provide little distraction and promote focus on the material. This decidedly low-tech solution to training might harken back to ancient watch-me-do-it tribal methods but its effectiveness is not lost on Khan’s students, many of whom write to express thanks that they are not only mastering their classes for the first time but excited about the subjects as well.

Khan’s approach is to teach for academic competency. That is, he instructs in the methods and procedures that assist the student in passing standardized tests and formal exams. After the student completes a module, test problems are offered through a program that Khan designed himself that acts to monitor student progress and flag trouble areas for the teacher. The student is asked to correctly answer 10 problems in a row before moving to the next module. This final process closes the instruction, feedback and assessment loop in Khan’s method and further acts to eliminate the small voids in understanding that can multiply as the student moves forward. Interestingly YouTube assists in the process as well, offering statistics on usage and attention.

One of Khan’s own revelations about his method is telling: it’s so simple and effective that he does not see why anyone needs to give live lectures anymore.

Although he does not refer to it by name, Khan points to (and his method directly parallels) the use of what is commonly called the Inverted Classroom. In an inverted classroom recorded presentations impart new information prior to class while class time is taken up with teachers and peers solving problems (or “doing homework”) quite in reverse to what is traditionally done in schools and training centers.

The results of this method have so far been compelling. Both teachers and students benefit. Teachers benefit because more of their time is spent in directed remediation (particularly if they use Khan’s monitoring software), problem solving and exploration of the material. Students like the inverted classroom because it potentially transforms class time into something useful and interesting. In Khan’s case the testimonials from parents, teachers and students are hard to ignore. His academy and tutorials do work.

More needs to be seen to ascertain whether the Khan Academy represents the future of education as some claim. But what is clear is that it stands as a forceful reminder of what can be done to improve the instruction of certain skills and particular subjects while simultaneously improving the classroom experience for everyone.

References.

Bill Gates’ Favorite Teacher

Salman Khan on Future Talk

YouTube Teaching as Guerrilla Public Service

Yes, the Khan Academy IS the Future of Education (video; singularityhub.com)

Yes, the Khan Academy is the Future of Education

Khan Academy Exercise Software

Khan Academy and the Effectiveness of Science Videos

The Khan academy is Not that Good

We are Khan Academy, You Will Be Assimilated!

Can the Khan Academy flip a classroom?

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A History of Corporate Education

This mural by Eileen Clegg and Val Ibarra of Visual Insight chronicles the development of corporate and executive education from 1880 to present. I assume it reflects American trends - the notes do not say. The size of the mural is approximately 4 feet x 12 feet but you can explore it on screen using zoom and grab/drag. You might have to install Microsoft's Silverlight plug-in (free) to do so however. A scaled-down jpeg of the mural can also be viewed here.

Some of the milestones from the timeline include:

  • 1880 ... the Industrial Revolution ... informal training via apprenticeships
  • 1910 ... rise of the Factory Model ... training for efficiency, "scientific" management
  • 1940 ... rise of the Organization ... training to create a formal management structure
  • 1960 ... rise of the Individual ... modern educational theory and instructional design blossom
  • 1980 ... rise of the Information Economy ... industrial model declines, lifelong learning ascends
  • 1990 ... rise of the Internet ... global communications, virtual organizations, electronic media
  • 2010 ... the Present ... "natural" learning emerges (again), asynchronous, acoustic environments

What is meant by "natural" learning is not spelled out by the authors, but it is is interesting to ponder which of the trends from the post-agricultural era (1880 onward) were particularly "unnatural." I am going to go out on a limb and suggest that the current post-literate environment we find ourselves in is taking us back to a period before the industrial revolution when apprenticeships and the oral tradition ruled. Ergo the current interest in experiential and immersive learning environments, informal learning, podcasts and the inverted classroom.

References.

History Map: Corporate and Executive Education

The History of Education Mural

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Learn, Unlearn, Relearn

Figure-Ground Reversal by Laurel Neustadter

I was taken by this thought from Alvin Toffler in Rethinking the Future:
" The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn."
Interestingly, Toffler is no effete intellectual. Prior to becoming a successful author, futurist and industry consultant, he and his wife Heidi dropped out of graduate school to spend the next five years working on an assembly line in order to study industrial mass production (see Wikipedia). Toffler's works include: Future Shock, The Third Wave, The Adaptive Corporation and Powershift: Knowledge, Wealth and Violence at the Edge of the 21st Century.
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Boning Up on Online Instruction

(c) Peter Steiner, The New Yorker, 69(20).

Although online instruction has grown to be far from a fad, I've noticed something peculiar about it. Online courses are nobody's favorite. Well, that might be going too far. They are clearly among the favorites of administrators and managers hoping to distribute "virtual classroom environments" far and wide without the encumbrances of airplanes, hotels and school buildings, but I've never heard of a teacher coming specifically to the profession with a burning desire to teach online. So far – and it might be too early to see this – the online experience has not produced a teacher, instructor or (God forbid!) an instructional designer who has had a Road-to-Damascus experience online, where one minute there is an ardent but resistant learner and the next a flaming would-be pedagogue anxious to commandeer the reins of a class in order to lead others to a similar experience. Interestingly, two professions that always seem to have an element of mission in them are the clergy (naturally enough) and teaching. On the flip side students don't (yet) choose online courses above face-to-face instructor-lead classes – fancy hotels and travel per diems notwithstanding. The reason this is important is that on the one hand it's unlikely that anyone in the education professions today is going to be able to avoid teaching through or writing for the online environment; and on the other, it might not be a preferred medium, leading one to feel a bit out of place, awkward or even bungling as an online instructor. Fortunately help is at hand. There are many good references and guides for online training that can assist the new-comer in getting started or serve as a refresher for those returning to the virtual classroom after a hiatus. One resource worth noting is Dr Curt Bonk's collection of online video primers for e-Teaching and Learning. The 27 videos focus on planning and delivery of online instruction. The presentations are directed at the college instructor but most are equally of interest to corporate and government trainers. Each video is about 10 minutes in length. Topics include:
  • Planning Online Courses
  • Managing Online Courses
  • Providing Feedback
  • Online Interaction
  • Quality Supplemental Materials
  • Blended Learning Implementation
  • Online Visual Learning
  • Webinars and Webcasts
  • Podcasting Uses and Applications
  • Wiki Uses and Applications
  • Blog Uses and Applications
  • Hands-on Experiential Learning
  • Assessing Student Online Learning
  • Trends on the Horizon
The video primers on e-Teaching and Learning can be viewed here at the Indiana University School of Education Instructional Consulting web site. Related Links. On the Internet, nobody knows you're a dog Video Primers in an Online Repository for e-Teaching & Learning Curt Bonk's e-Learning World The World is Open
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The Redesign of Instructional Design or “Knowing Something Doesn’t Necessarily Mean That You’ve Learned It”

 

Fossil fish bridges the evolutionary gap between animals of land and sea. Credit: Zina Deretsky, National Science Foundation

 

I'm glad that someone has gathered the courage to say this out loud: Instructional design in the 21st Century is not about events, it's about experiences. No doubt from the looks of things, instructional design (ID) is in the natural throes of shaking off the learning events metaphor imposed on it by the educational psychologists of the Industrial Revolution, but learning and development thinkers like Charles Jennings hope that we can hasten it along for the sakes of our students and ourselves. For Jennings the shift from working with the hands to working with the head is a key indicator that promotes the need to move from events toward processes:

"Undoubtedly instructional design is crucial if the mindset is learning events – modules, courses, programmes and curricula. However, if the mindset has stretched beyond event-based learning to where most learning occurs for workers, which is in the workplace at the point-of-need, where process-based learning serves best – and where learning through doing and learning as part of the work process happens, then ID takes on a whole new dimension."

Jennings posits the notion of "learning" held by inhabitants of the 21st Century as moving from a habitat of "knowledge" to a new one of "behavior." The medium is the message. It's not about content anymore.

"For years we’ve been led to believe that ‘learning’ meant acquiring knowledge. If knowledge acquisition is the end-game, then the logical conclusion was to provide information that could be turned, whatever the magic employed, into knowledge in the recipient’s head. Believe me, the old idea that data becomes information which in turn becomes knowledge and finally transmogrifies into wisdom has been debunked years ago. We use our knowledge and experience to interpret data and information. Wisdom comes to a few only after years of experience."

Jennings reminds us that Ebbinghaus and the Forgetting Curve aside, we need to observe learning in action to make intelligent assessments about its effectiveness. Experience and practice are the keys and, as such, instructional designers need to become interactivity designers.

"Good ID will result in the design of experiences that can build capability and learning far more quickly and effectively than by filling heads with information and ‘knowledge’ and then hoping that will lead to behavioural change.

We need designers who understand that learning comes from experience, practice, conversations and reflection, and are prepared to move away from massaging content into what they see as good instructional design. Designers need to get off the content bus and start thinking about, using, designing and exploiting learning environments full of experiences and interactivity."

Further information about Charles Jennings and his work can be found here.

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Failure to Connect – Social Media in Class Might Not Work

The Bandwagon

If you are thinking of using social media in a class to help build useful collaborative connections, retire the fears of shy students and introduce the same engagement you see in sites like Facebook, think again.  A recent study by the Lab for Social Computing at Rochester Institute of Technology suggests that the use of social media in classrooms might yield little effect in improved communications and enhanced connections between students. The study into the effects of social media was conducted as part of a course on the use of social media and tools. It included contributions from online learning and course management systems and discussion groups that were proposed to enhance instruction, improve communication and facilitate connections between the students and course content. The results indicate that poor social acumen in the face-to-face interactions might be mirrored in the (more) virtual social medium. What's more, echoing teacher and educational social media researcher Michael Wesch, the RIT study suggests that the educational use of social media may have to be learned:
"...the educational use of social media may not counteract poor social connections that are seen in face-to-face communication or elicit the same impacts seen in the use of social media sites such as MySpace and FaceBook."
Researcher and team leader Susan Barnes comments on the hopes and goals of social media in the educational environment relative to her team's findings:
"Many social media advocates have argued that the use of these tools in classroom settings could greatly enhance interaction and learning and assist shyer, more reserved students in becoming more involved, as has been seen in other online environments. However, our findings show that the incorporation of social media had no measurable impact on social connections, to the point that students did not consider other members of the class to be part of their social network.”
The RIT research team plans to expand the study to consider different educational formats and additional social media applications in an effort to determine the effects and differences of social media from traditional classrooms. The intent is to help educational planners and instructional designers better use social media in course development and delivery.
“The issues surrounding poor social network construction within online educational environments points to greater opportunities to examine how technology and mediated software can be better designed to suit the types of communication and interactions desired by our students.”  - Christopher Egert, co-author
References. Jacobs, Stephen, Egert, Christopher A., Barnes, Susan B., "Social Media Theory and Practice: Lessons Learned for a Pioneering Course," 39th ASEE/IEEE Frontiers in Education Conference, T4J-1, October 18 - 21, 2009, San Antonio, TX. Study Examines Use of Social Media in the Classroom
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Knowing Information When You See It

Despite the fact that we are quick to assert that we live in The Information Age and are swimming in all kinds of media, data and sensory stimuli, it's sobering to take a step back and reflect on the fact that information is not always where the focus of attention is. Marshall McLuhan was fond of saying that "We don't know who discovered water, but we know it wasn't the fish." Information today is a little like that water and as teachers and instructional designers we have to pay attention to the differences between the medium and message if we want to be effective in what we do. Right in keeping with this problem, the folks at MAYA Design have produced a really useful and (dare I say) informative animated short on the problem of distinguishing information from its presentational form. That is, in Gestalt terms, how to see the ground separate from the figure. As an example of the problem of teasing information from its encapsulating medium, do you know what information is? Can you cite an example? What would you say if you were told that you can't actually see or hear information? Would you be comfortable with the idea that neither the words on a page nor the numbers on a spreadsheet are information? In the words of MAYA Design, "Information has no form. It's not made of atoms." So, what is information? In MAYA's view:
"Information is what allows us to confidently make a selection from a set of given or implied alternatives."
And what is our job then relative to information design? Our job is to give it form. We write it down, verbalize it, draw it and act it out. All with the intent of communicating it. Take a few minutes and look here or below and get reacquainted with the differences between medium and message.
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Teaching that Sticks

Chip and Dan Heath, authors of the popular book Made to Stick: Why Some Ideas Survive and Others Die, have applied key principles of their stickiness theory to teaching. The resultant 13 page e-book is available in PDF format at their web site or on scribd.com as a free download. Borrowed from their research, the brothers Heath apply six traits that make ideas (and teaching) stickier. Sticky ideas are: SIMPLE.
"This process of prioritization is the heart of simplicity. It’s what we call 'finding the core.' Simplicity doesn’t mean dumbing down, it means choosing. Some concepts are more critical than others. And as the teacher, you’re the only one who can make that determination."
UNEXPECTED.
"Piquing curiosity is the holy grail of teaching." Cialdini said, “You’ve heard of the famous Ah ha! experience, right? Well, the Ah ha! experience is much more satisfying when it’s preceded by the Huh? experience. So how do you create the 'Huh?' experience with your students? George Loewenstein, a behavioral economist, says that curiosity arises when we feel a gap in our knowledge. Loewenstein argues that gaps cause pain. When we want to know something but don’t, it’s like having an itch we need to scratch. To take away the pain, we need to fill the knowledge gap. We sit patiently through bad movies, even though they may be painful to watch, because it’s too painful not to know how they end. Movies cause us to ask, What will happen? Mystery novels cause us to ask, Who did it? Sports contests cause us to ask, Who will win? Crossword puzzles cause us to ask, What is a 6-letter word for psychiatrist? Pokemon cards cause kids to wonder, Which characters am I missing? One important implication of the 'gap theory' is that we need to open gaps before we close them. Our tendency is to tell students the facts. First, though, they must realize they need them."
CONCRETE.
"Concreteness etches ideas into our brain—think of how much easier it is to remember a song than a credit card number—even though a song contains much more data!"
CREDIBLE.
"For an idea to stick, it needs to be credible. YouTube-era students don’t find it credible that hanging out outside, for a long period of time, alone, could be conducive to great thinking. So how do you combat their skepticism? You let them see for themselves. It’s like a taste test for ideas."
EMOTION.
"That’s what Emotion does for an idea—it makes people care. It makes people feel something. In some science departments, during the lesson on 'lab safety,' the instructor will do something shocking: They’ll take some of the acid that the students will be handling and use it to dissolve a cow eyeball. A lot of students shudder when they see the demonstration. They feel something. Lab safety 'dos and don’ts' don’t grab you in the gut, but a dissolving eyeball sure does."
STORY.
"The second surprise about stories is why stories, even boring stories, are so sticky. The answer starts with some fascinating research done on 'mental simulation.' Brain scans show that when people imagine a flashing light they activate the visual area of the brain; when they imagine someone tapping on their skin they activate tactile areas of the brain. The activity of mental simulation is not limited to the insides of our heads. People who imagine words that start with “b” or “p” can’t resist subtle lip movements, and people who imagine looking at the Eiffel Tower can’t resist moving their eyes upward. Mental simulation can even alter visceral physical responses: When people drink water but imagine it is lemon juice, they salivate more. Even more surprisingly, when people drink lemon juice but imagine it is water, they salivate less. ... The takeaway is simple: Mental simulation is not as good as actually doing something—but it’s the next best thing. And, to circle back to the world of sticky ideas, what we’re suggesting is that the right kind of story is, effectively, a simulation. Stories are like flight simulators for the brain."
The free booklet gives practical suggestions and examples of how to use "stickiness" to improve lessons and teaching. The authors are quick to remind readers that the principles are pragmatic design guidelines for better teaching not just theories for the way instructional design works. "Teaching that Sticks" is an entertaining and informative read for anyone who designs, writes or presents classes or educational material. A companion booklet "Making Presentations that Stick" is also available. References. http://www.madetostick.com/teachers/
Rating 3.00 out of 5
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Why It’s Crucial to Train Your Employees

Why you should train your people In what might seem an unusual post by a leading business analyst and venture capitalist, Ben Horowitz, of Andreesen Horowitz, writes in businessinsider.com
"Almost everyone who builds a technology company knows that people are the most important asset. Properly run start-ups place a great deal of emphasis on recruiting and the interview process in order to build their talent base. Unfortunately, often the investment in people stops there."
Horowitz's own experience in training sounds all too familiar:
"When I first became a manager, I had mixed feelings about training. Logically, training for hi-tech companies made sense, but my personal experience with training programs at the companies where I had worked was underwhelming. The courses were taught by outside firms who didn’t really understand our business and were teaching things that weren’t relevant."
A turning point in Horowitz's perspective on training came through Andy Grove's High Output Management, specifically the chapter titled "Why Training is the Boss's Job." As Director of Product Management at Netscape, Horowitz decided to put his new found inspiration to work and produced a guide titled Good Product Manager/ Bad Product Manager in an attempt to educate his staff on how to bring value to product management.
"I was shocked by what happened next. The performance of my team instantly improved. Product managers that I previously thought were hopeless became effective. Pretty soon, I was managing the highest performing team in the company. Based on this experience, after starting Loudcloud, I heavily invested in training. I credit that investment with much of our eventual success. And the whole thing started with a simple decision to train my people and an even simpler training document."
Horowitz sees four key benefits to well-designed well-delivered training:
  • Productivity
  • Performance Management
  • Product Quality
  • Employee Retention
On Productivity Horowitz credits Grove with doing the math for the amplification of benefits from training:
"Training is, quite simply, one of the highest-leverage activities a manger can perform. Consider for a moment the possibility of your putting on a series of four lectures for members of your department. Let’s count on three hours preparation for each hour of course time—twelve hours of work in total. Say that you have ten students in your class. Next year they will work a total of about twenty thousand hours for your organization. If your training efforts result in a 1 percent improvement in you subordinates’ performance, you company will gain the equivalent of two hundred hours of work as the result of the expenditure of your twelve hours."
On Performance Management Horowitz sees training as laying the foundation in understanding between the manager and the employees in terms of job responsibilities and expectations:
"If you don’t train your people, you establish no basis for performance management. As a result, performance management in your company will be sloppy and inconsistent."
On Product Quality, Horowitz cites a common instance of where a push to cater to an urgent demand forces training out of the process leading only to an unnecessary and expensive reinvention of the wheel:
"As success drives the need to hire new engineers at a rapid rate, companies neglect to train the new engineers properly. As the engineers are assigned tasks, they figure out how to complete them as best they can. Often this means replicating existing facilities in the architecture, which lead to inconsistencies in the user experience, performance problems, and a general mess. And you thought training was expensive."
Last but not least, Horowitz speaks to the issue of Employee Retention. Using his own experience at Netscape as a real-life example, Horowitz recounts an instance where he analyzed exit interviews to determine why people were leaving:
"1. They hated their manager – generally the employees were appalled by the lack of guidance, career development and feedback they were receiving. 2. They weren’t learning anything – the company wasn’t investing in the employees."
How to Get Started Horowitz recommends that training programs focus on the two essentials: functional skills and management. Functional training addresses knowledge and skills most relevant to the employees. Management training first addresses what is expected of managers and follows up with how managers can accomplish what is expected. Implementation is a key issue here. Horowitz warns of the temptation to put training off due to lack of time. Interestingly he returns to Grove when he reasserts that management training is fundamentally and unavoidably a role of the corporate leader:
"As Andy Grove writes, there are only two ways for a manager to improve the output of an employee: motivation and training. Therefore, training should be the most basic requirement for all managers in your organization. ...Managing the company is the CEO’s job. While you won’t have time to teach all of the management courses yourself, you should teach the course on management expectations, because they are, after all, your expectations."
References.
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Human Learning (Still) the Next Frontier

The archives collection  at Wired.com has a transcribed discussion between computer gurus Alan Kay and Danny Hillis that, surprisingly perhaps, includes a few comments about learning and education. It's a worthwhile read in many respects but I'm plucking a couple quotes from it that relate specifically to knowledge, learning and pedagogy:
"There's this interesting interplay between what you might call talent and how much of a meta-system we can put down on top of meager talents to learn how to do things. Two recent tennis champions, Ivan Lendl and Chris Evert, were not actual athletes. They were people who just learned how to play tennis. Some of the most natural tennis players, like Nastasi and Agassi, only do well when things are going well - they don't have learned skills to drop back on. So in any given population maybe 5 to 20 percent have a natural hacker sort of talent; they are often not helped by pedagogy. Pedagogy is about getting the other 80 percent of people within hailing distance. So I've been very interested in taking some very important ideas and wondering how you get them in a state where the 80 percent can actually learn them in an operational way. And that's why I keep coming back to computers."
Interestingly the conversation concludes with:
"DH: The question that I keep asking myself is, where is the next frontier? Where is that place that a new world is being constructed? Do you know any candidates? AK: I think the frontier has to do with human learning. Knowledge is not completely relative. There are a hundred or so powerful ideas that basically mean the difference between life and death, and I think one of our major jobs should always be to be true and get as many people enfranchised into them as possible. DH: But in fact, if you look at what's happening, it seems just the opposite. We're very much heading toward a two-class society, where either you're somebody who sort of knows about, or feels empowered to deal with all of the complexity in society, or you're one of the people that is a victim of it and is just on the receiving end of it all. AK: And I think the gap actually gets bigger as the leading edge of knowledge gets less intuitive."
The full transcript by Steven Levy and Kevin Kelly can be viewed here.
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Do We Really Know How to Teach This Stuff?

I can't say whether the only course I've taken in programming was taught well. This is partially the case because it was so long ago and looking back on it it's doubtful that anyone had an idea about how to teach such a new subject. It seems in retrospect that the professors and graduate students of that era were trying to figure out how to program themselves, let alone teach programming to undergraduates. To give you an idea, the language I learned in class was something called FORTRAN. Since then I have had to learn (to some degree) about a dozen programming and scripting languages. Some were for application development, some were for web development, others were for database systems, but all were a hard-fought climb up a learning curve of an unnatural new literacy. Since I am not a real "computer person" I have had to learn to program for practical reasons such as building new tools or to complete a project. This is to say, I have had to start learning new languages from the position of a neophyte - someone without much formal knowledge or skill - who nonetheless had a practical goal or objective in mind. Often when working around computer scientists and engineers who program for a living, I would ask how to best go about learning programming. Invariably I was told that the best (and only) way to learn to program was to program. I think this was the result of my colleagues early experience and education. They read books on the syntax and rudiments of the language in question and started in on cobbling together simple lines of code that eventually grew to more and complex routines until they achieved a modest proficiency in the language and it quirks. And so did I. As things progressed, and I added more computer languages to my list of things to learn, I started to suspect that I could climb the learning curve a little faster if I read lots of programming examples to get a good sense of the everyday grammar of the language and learn some of the colloquial shortcuts employed by experienced users. In a sense I began to suspect that learning a programming language was much like any other foreign language. It seems professionals in the field of computer science are having some of the same concerns. Professor Mark Guzdial, of the Georgia Institute of Technology, writing in the blog of the Communications of the ACM, lays it on the line in the title of his post:
"How We Teach Introductory Computer Science Is Wrong."
Basing this conclusion not only on his own experience but also on results from several researchers, Guzdial questions whether extensive use of programming exercises are the best path to teaching programming to introductory learners. That is, is it best to teach problem solving by problem solving? Guzdial starts his critique of computer science instruction by citing research in mathematics education by Sweller and Cooper (1985). In it, Sweller and Cooper compare two groups of students both of which are shown two worked examples in algebra. An experimental group is given eight more completely worked out examples in algebra. The control group gets the same eight problems to work out themselves. Not surprisingly the control group takes five times longer to complete their assignment. Next, both groups get a new set of problems to solve. Ready for the ta-da? Drum roll please....
"The experimental group solves the problems in half the time and with fewer errors than the control group." - Guzdial, 2009
In other words, the work-it-out-for-yourself problem solving approach was less effective by a long shot. And, as an aside, it should be said that this approach to instruction is common not only in computer science courses but also in subjects like mathematics, physics, chemistry and engineering. Other work by researchers Kirschner, Sweller and Clark (2006) and Kalyuga, Chandler, Tuovinen and Sweller (2001) comment on this effect and help explain where and when problem solving is superior to worked examples. Guzdial quotes Kirschner (1992) in summarizing the state of the problem:
"After a half-century of advocacy associated with instruction using minimal guidance, it appears that there is no body of research supporting the technique. In so far as there is any evidence from controlled studies, it almost uniformly supports direct, strong instructional guidance rather than constructivist-based minimal guidance during the instruction of novice to intermediate learners."
Does this mean, as Marshall McLuhan was fond of saying, that "the whole fallacy is wrong?" Have we been sold down the river educationally where training in computer science, physical sciences, mathematics and engineering are concerned? Perhaps not. What the studies do suggest is that relying primarily on learn-programming-by-programming, work-it-out-for-yourself, minimal guidance methods are not well suited to introductory learners. These methods are, however, better suited to learners who have already acquired some background knowledge and are therefore a better fit to intermediate and advanced courses.
"What's striking is that no one challenges [Kirschner, Sweller and Clark] on the basic premise, that putting introductory students in the position of discovering information for themselves is a bad idea!"  - Guzdial, 2009
That is not to say "never" of course. What the data are saying is that it's not the best principal approach for beginners. In hindsight the findings make perfect sense. My original intuition that learning a computer language is like learning a foreign language was not far off the mark.
The data suggest that for a beginner, learning to read before learning to write is a more effective approach.
References. Kalyuga, S., Chandler, P., Tuovinen, J., Sweller, J. (2001), "When Problem Solving Is Superior to Studying Worked Examples," Journal of Educational Psychology, 93(3), 579-588. Kirschner, P. A. (1992), "Epistemology, practical work and academic skills in science education." Science and Education, 1, 273-299. Kirschner, P. A., Sweller, J., Clark, R. E. (2006), "Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-based, Experiential, and Inquiry-based Teaching," Educational Psychologist, 41(2), 75-86. Sweller, J., Cooper, G. A., (1985). "The use of worked examples as a substitute for problem solving in learning algebra." Cognition and Instruction, 2, 59-89.
Rating 3.50 out of 5
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Pygmalion Meets the Training Manager

geromepygmalion Measured "return on investment" and "training effectiveness" are two of the business metrics commonly used to yoke trainers and developers in business and government training centers around the globe. "Is the training effective?" and "Is it worth the cost?" are standard queries at development meetings and design reviews. Knowledgeable designers and managers invoke Bloom, Kirkpatrick and things like ADDIE to promote development of effective training, little knowing that Pygmalion might provide the help they need. A little over 40 years ago, Robert Rosenthal and Lenore Jacobson performed a simple and ingenious experiment in a California school that jolted educational psychology. Dubbed the Pygmalion Effect (after the play by George Bernard Shaw; later the musical and movie My Fair Lady) the experiment showed that the effectiveness of teaching was largely determined by the belief of the teacher in the students. That is, all things being equal, if a teacher believes the students are exceptional, they will tend to match the expectation. Surprisingly perhaps, this "effect" has been replicated many times since its inception and has garnered support from similar studies done in colleges, industry and the military. What Pygmalion describes might be taken as the equivalent of the Placebo Effect in education, but it might just as well be a re-coining of the psychotherapeutic expression "you have to believe in the Process" directed toward the classroom. What Rosenthal and Jacobson did in their study was give teachers false information about their students based on what they said was an advanced test to determine future performance and achievement. In reality they administered a standard IQ test, randomly selected a group of students without regard to the test results, told the teachers these students were going to bloom in achievement and sat back and noted the results. At the end of the school year the students were tested and the results showed that a significant number of the "bloomers" had in fact made unexpected gains in academic performance and behavior. In fact, tests of the same students two years later showed that they carried and maintained this advantage over that time. Interestingly, while accounts of the first study did not include details of what went on in the classroom while the study was underway, written reports by the teachers themselves indicate that no special measures, programs or materials were provided to assist the "bloomers" in learning or to enhance the classroom experience. What Rosenthal and Jacobson concluded the "bloomers" got that the control group missed were clear signs of approval, more chances to interact with the teacher and patient acceptance, all moderated unconsciously by of the beliefs of the teacher. Over the years the Pygmalion Effect has come under scrutiny by many researchers and has been criticized for its original experimental design and the general meaning of its results. But, all in all, it remains steadfastly rooted in the literature of educational psychology and provides a lasting contribution to the field. References. Rosenthal, R., and Jacobson, L. (1968). Pygmalion in the classroom: Teacher expectation and pupils' intellectual development'. New York: Rinehart and Winston. (Newly updated edition, 2003) Rosenthal, R., and Jacobson, L. (1966). Teachers' expectancies: Determinates of pupils' IQ gains. Psychological Reports, 19, 115-118. Rosenthal, R. (1965). Clever Hans: A case study of scientific method. Introduction to Oskar Pfungst, Clever Hans (translated by Rahn, C. L., 1911). New York: Bolt, Rinehart and Winston, pp. ix-xiii.
Rating 3.00 out of 5
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