Building Learning Communities 2011 Keynote: Dr. Eric Mazur — from November Learning

Excerpt:

Today, we are officially relaunching our opening keynote from BLC11 with Dr. Eric Mazur. Dr. Mazur is the Area Dean of Applied Physics and Balkanski Professor of Physics and Applied Physics at Harvard University in Cambridge, MA.

In his keynote, Dr. Mazur shares his vast research on teaching and learning. Students in Dr. Mazur’s class are moving far away from the traditional stand and deliver lectures given in many k-12 and university classrooms around the world, and they are gaining a much deeper understanding of the material being taught in the process.

As you watch this video, we invite you to take some time and respond to one or more of the following questions…

 

From DSC:
What I understood the key points to be:

  • Teaching and learning should not be about information transfer alone; that is, it’s not about simply having students “parrot back” the information.  That doesn’t lead to true learning and long-term retention.
  • The more a teacher is an expert in his/her content, the more difficulty this teacher has in understanding how a first time learner in this subject struggles
  • Rather we need to guide and use peer instruction/social learning/collaboration amongst students to construct learning and then be able to apply/transfer that learning to a different context
  • Lecturing is not an effective way to create a long term retention of information
  • Peer instruction/human interaction creates effective learning
  • “The plural of anecdotes is not data.”
  • Eric is seeking data and feedback to sharpen his theories of how to optimize learning
  • Technology serves pedagogy — technology should afford a new mode of learning
  • Towards that end, Eric and team working on “Peer instruction 2.0”
  • How do I design good questions?  Optimize the discussions? Manage time? Insure learning is taking place?
  • Eric is working with several other colleagues to create a system for building and using data analytics to give useful information to instructor about who’s “getting it” and who isn’t; about how we learn
  • Peer instruction not without issues — how people group themselves and who students choose to collaborate with can be problematical
  • Why not have the system do the pairing/grouping?
  • System uses algorithms, facial recognition, posture analysis; cameras, microphones
  • Surveys also used
  • The system is attempting to help Eric and his team learn about learning
  • The system being used at Harvard and by invitation only

Eric ended with a summary of the 2 key messages:

  1. Education is not about lecturing
  2. We can move way beyond the current technologies and use new methods and technologies to actively manage learning as it happens

 

From DSC:
After listening to this lecture, the graphic below captures a bit of what he’s getting at and reflects some of my thinking on this subject as well.  That is, we need diagnostic tools — along the lines of those a mechanic might use on our cars to ascertain where the problems/issues are:
 


 

Interactive streaming video technology from Stanford - Summer 2011

Stanford researchers designed software that allows a viewer to zoom and pan while streaming online courses. They recently released the code to the public.

20 most impressive science fair projects of all time — from onlineuniversities.com
 

Kevin Slavin: How algorithms shape our world [TED]

Description:

Kevin Slavin argues that we’re living in a world designed for — and increasingly controlled by — algorithms. In this riveting talk from TEDGlobal, he shows how these complex computer programs determine: espionage tactics, stock prices, movie scripts, and architecture. And he warns that we are writing code we can’t understand, with implications we can’t control.

Relevant to mathematics; shaping our world; ethics; media; culture; society;
computer science; technologies; stock markets/business; architecture.

Excerpt:

Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named “Daytona.” Project Daytona is designed to support a wide class of data analytics and machine learning algorithms. It can scale out to hundreds of server cores for analysis of distributed data.

Project Daytona was developed as part of the eXtreme Computing Group’s Cloud Research Engagement Initiative, making its debut at the Microsoft Research Faculty Summit. One of the most common requests we have received from the community of researchers in our program is for a data analysis and processing framework. Increasingly, researchers in a wide range of domains—such as healthcare, education, and environmental science—have large and growing data collections and they need simple tools to help them find signals in their data and uncover insights. We are making the Project Daytona MapReduce Runtime for Windows Azure download freely available, along with sample codes and instructional materials that researchers can use to set up their own large-scale, cloud data-analysis service on Windows Azure. In addition, we will continue to improve and enhance Project Daytona (periodically making new versions available) and support our community of users.

Also see:

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From DSC:
First of all, I ran across this item:


250 years of Bayes Theorem -- a brilliant minister and mathematician; the man behind Bayes Theorem

 

Which reminded me of this item:


And they say God does not exist -- and I ask, then what about His fingerprints?

Which reminded me of some great feedback from Randall Pruim, Associate Professor of Mathematics and Statistics at Calvin College, who wasn’t impressed with the importance or mysteriousness of this particular sequence or the above video clip…but who also provided me with some papers, each with the words “The Unreasonable Effectiveness of Mathematics” in the title:

Anyway, I can’t say I understand all of this. But I believe God’s fingerprints are on many events, things, and changes that we experience — some of these things we see, but many are invisible.

May your Maundy Thursday, Good Friday, and Easter morning be especially meaningful this year for you and yours! Here’s to our Creator, Redeemer, and Friend!

Peace,
Daniel Christian

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Science Simulations: A Virtual Learning Environment — from Journey in Technology by Dolores Gende

Where do I find simulations?

One of the best websites for science simulations is PhET from the University of Colorado at Boulder. Originally founded by Physics Nobel Prize laureate Carl Weiman, PhET provides fun, interactive, research-based simulations of physical phenomena for free. These simulations can be downloaded or played directly on your browser.

Teachers can access the Teacher Ideas & Activities page for teacher-submitted contributions, designed to be used in conjunction with the simulations.

These are the links to the core science courses simulations. The PhET website also contains excellent Math simulations.

Simulation Resources

Biology
Chemistry
Earth Science/Geology
Physics

http://www.brightstorm.com/

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Video abstracts at the New Journal of Physics

Video abstracts at the New Journal of Physics

video abstract icon

Video abstracts are a brand new content stream for New Journal of Physics, aimed at increasing yet further the visibility of our authors and their work. Through this video media authors can now go beyond the constraints of the written article to convey their research, and provide a new, enhanced user experience for the journal’s global audience.

NJP articles with a video abstract are flagged with the video abstracts icon symbol. Full details about this new feature can be found in the video abstract guidelines. You can also read some of our author quotations.

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Solving the problem of online problem solving – – from FacultyFocus.com by Ellen Smyth 

When first visualizing an online mathematics course, I saw a barren, text-only environment where students learned primarily from the textbook and where instructors provided text-based direction, clarification, and assistance. But typing is not teaching and reading is not learning. Students deserve more from online courses than regurgitated textbooks and opportunities to teach themselves. With today’s technology, we can create a rich learning environment.

So if we don’t teach with pure text, what do we teach with? Traditionally, we write, draw, and talk students through the problem-solving process while we encourage students to actively work along with us. Online, we should aspire to sparking the same level of comprehension, achievable using exactly the same techniques – writing, drawing, and talking students through problems.

But how do we write, draw, and talk to students online? Fortunately, we have a wide variety of tools available to help us available to help us do it digitally.

From DSC:
One of the types of tools mentioned were the tablets from Wacom.

Tablets from Wacom

Touch Physics
.
Also see:

techsparked.com


Stanford and UC Berkeley Create Massively Collaborative Math – 8-8-10 —  [via GetIdea.org blog]

Scholars at U.S. universities UC Berkeley and Stanford have created a free website, MathOverflow, that is transforming math research. By linking questions and answers from hands-on users, each small solution builds toward a larger understanding, accelerating research and proving mass collaboration can greatly expand human problem-solving abilities.

Less than a year old, Math-Overflow is growing quickly. On a typical day, it receives about 30 new questions and more than 30,000 page views from 2,500 different users worldwide. Questions and answers get votes, based on popularity. Contributors include leading researchers, and half its traffic is international. Some questions have already led to research papers naming both the asker and “answerer” as co-authors.

Source: Mercury News [San Jose, California]

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mathoverflow.net

.

Also see:

nLab -- an open lab book for math, physics

From Questions to Concepts: Interactive Teaching in Physics — by Physics Professor Eric Mazur at Harvard

How can you engage your students and be sure they are learning the conceptual foundations of a lecture course? In From Questions to Concepts, Harvard University Professor Eric Mazur introduces Peer Instruction and Just-in-Time teaching — two innovative techniques for lectures that use in-class discussion and immediate feedback to improve student learning. Using these techniques in his innovative undergraduate physics course, Mazur demonstrates how lectures and active learning can be successfully combined. This video is also available as part of another DVD, Interactive Teaching, which contains advice on using peer instruction and just-in-time teaching to promote better learning. For more videos on teaching, visit http://bokcenter.harvard.edu

© 2024 | Daniel Christian