Your World is Your Lab

You are teaching a class of students who are learning physics for the first time in their lives. What is important for them to experience? Using physics concepts? Doing physics experiments? Communicating physics ideas? “Thinking like a physicist”? How would you design a class to create these experiences?

Maybe you’d design a model-focused course that emphasizes laboratory experiences? And to that you might add video analysis; it’s just cool for students to take and process their own data. In my opinion, video analysis also helps students experience physics in a more authentic way. You might also have them write a few simulations that model the physical phenomena they are learning about. This gives students another “cognitive hook” to use when thinking and talking about physics.

And how many students are you teaching in this theoretical class? 10? 20? maybe 40? What about 40,000? Or more?

A MOOC with a lab

As I mentioned in an earlier post, I am helping to do research in a massively open online course (MOOC). Our course is called “Your World is Your Lab”. By leveraging modeling, video analysis, and numerical computation, we are attempting to provide this type of authentic, scientific experience. Here’s the intro video for the course:

Now I am very skeptical of this MOOC business. But, I think it’s also important to know a lot about something before dismissing it entirely. That’s why I’m deeply involved in the planning of and research into this MOOC.

“Your World is Your Lab” is a different type of MOOC because it contains a home laboratory component. Students go out into the world, take video of some phenomenon, analyze it, and construct a video report of their observations and analysis. These reports are graded by their peers (i.e., other students taking the MOOC) and these laboratories constitute the major portion of the “grade” in this MOOC.

My main issue with MOOCs is that they perpetuate the transmissionist model of education (see below).
Calvin
I think laboratory experience helps to bring in the constructivist model and by coupling that with “peer review”, we actually emphasize that doing physics is a social act.

Unfortunately, that is where it ends. Lectures are pre-recorded, interactions with the teaching staff are limited, and homework and exams are computer-based. So, we will have a pretty cool lab experience (if people can figure it out) and an average lecture experience.

Participation will vary greatly, and it’s unclear how many students (and how often they) will perform the laboratories. This is an ambitious undertaking; porting an entire introductory physics course to the MOOC format. That is why the research is so important.

Major media outlets (e.g., David Brooks in the NYT) are touting the coming digital education revolution, but it’s unclear if students will actually participate when the course looks like a real college course. Equally unknown is which students complete the course, what factors influence their success, and what they learn from these courses. To start answering these questions, we are collecting a variety of demographic data, answers to conceptual assessments, and affectual measures from students taking our MOOC.

I hope that some of you will sign up for the course and tell me what you think. Oh, and if you are a high school teacher who completes the course, you can earn 6 continuing education credits from AAPT.

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A thoughtful review of the MOOC experience

To follow up this post about MOOCs, I wanted to mention an opinion piece in the New York Times by A.J. Jacobs that I read yesterday.

In it, Mr. Jacobs describes his experiences with eleven different MOOCs. The beginning of his piece bothered me quite a bit because it read like the same old stuff. Early on he says, “I’m getting Ivy League (or Ivy League equivalent) wisdom free. Anyone can, whether you live in South Dakota or Senegal, whether it’s noon or 5 a.m., whether you’re broke or a billionaire.” It’s unclear that impoverished Senegalese are completing MOOCs en masse. More likely, white men from the US, Canada, and Europe are the certificate earners.

But later in the article, he gives a thoughtful critique of each aspect of his MOOC experiences. The most telling part is the low grade he gives to instructor-student interactions. Most instructors can hardly manage a class of 200, let alone a class of 40,000. MOOCs have very little instructor-student interaction. It’s a one way conversation.

Jacobs believes that, “[f]or MOOCs to fulfill their potential, Coursera and its competitors will have to figure out how to make teachers and teaching assistants more reachable. More like local pastors, less like deities on high.” That is, to do anything meaningful, MOOC providers must abandon the transmissionist model of education and develop technologies to facilitate that change. He goes on to mention that providers are looking to enhance instructor-student interaction.

But, what will the increased cost of those interactions be? Could MOOC providers produce something close to the brick-and-mortar experience? I’m still pretty skeptical. But then again, I love my ivory tower.

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What’s the COWYAAPT section up to?

I went to my AAPT sectional meeting today. I love going to sectional meetings. Everybody shares why they are so excited to be a physics teacher, which always reminds me how much fun my job really can be. I just want to share some of the highlights.

  • Steve Spangler (who lives in the Denver area!) dropped by for the keynote address.He showed us a few demonstrations and told us how he got into TV. It’s a really cool story involving someone from NBC asking if he wanted to be the next Don Herbert (Mr. Wizard). Apparently, he called Don and asked him for advice when he first started. Don said, “Don’t let the bastards put you in a lab coat!”, which means try to make science accessible. Don’t look like a “scientist.”He also told us about the time he was questioned by police for blowing up bottles of liquid nitrogen. Here’s the video of that:

    I had not heard of Steve Spangler before this meeting, but I will definitely be using his YouTube channel for my future demo ideas.
  • My buddy, Ariel, gave a great talk about PhET sims. He talked about how sims are designed and why they are designed they way they are. He left folks with a few best practices. He said, “just let students play with the sims for 5 minutes.” You won’t have to tell them where all the controls are. They’ll figure it out themselves.
  • I gave on talk about the Global Physics Department that was well received. I have a feeling there’s going to be a lot of new blood joining the meetings. Here’s a copy of my powerpoint slides for anyone interested.
  • Stephan Graham (Arrupe Jesuit High School) gave a fantastic talk about how he teaches the language of physics using literature. He teaches at a predominately Latino school where more than 50% of students are English Language Learners. Stephan uses short stories in his physics classes to get students to identify when “physics” language is used in a physics context and when it is used in a figurative/literary context. Very cool stuff. Here’s the list of short stories he recommended: Bill Naughton’s Spit Nolan (velocity and acceleration), Liam O’Flaherty’s The Sniper (projectile motion), Francisco Jimenez’s The Circuit (series and parallel circuits), Michael Cunningham’s White Angel (impulse and momentum), and Kurt Vonnegut’s Harrison Bergeron (force).
  • Finally, the whole meeting ended with the classic sledgehammer/nail bed demo. Here’s a video I shot.

I’m really sad to be leaving this section. I’ve been to only two meetings, but I can tell it’s a really tight-knit group that is doing a lot of great things in the physics education community.

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The revolution is digital. Or is it?

Massively open online courses (MOOCs) are all the rage among “elite” universities. And why not? What university wouldn’t want to teach more students, grant more degrees, and diversify their alumni?

The problem is that the MOOC phenomenon is the higher-education equivalent of “Keeping up with the Joneses.” Universities are getting involved because others are, but it’s unclear what students are learning (in anything) in these new environments.

Now, I don’t want to come off as critiquing something that I know very little about. In a future post, I will talk about my involvement in the development of and research around an introductory physics MOOC. But for now, let’s just talk about what folks are saying about MOOCs, and what the reality seems to be (so far).

Can we transmit knowledge?

There are a number of articles written by well-known journalists on the “MOOC revolution.” But, most of them seem to say the same thing, universities are too darn expensive and MOOCs can help change that. Now, those statements are connected by a tenuous strand of reasoning: MOOCs can reproduce a university education. David Brooks goes into detail about what online education might be able to do for students.

But, I think he misses the point entirely. Education is not just about transmitting knowledge for preparing the workforce. It’s also about empowering individuals to live in the world and empowering society to meet the challenges of our modern age. Education is the means by which society replicates itself. It is how we move forward together. A college education does not just prepare you for a job, but it prepares you to interact with the world, to process complex information and make decisions based on that information, and to engage in societal discussions.

Sure, you might call some of this “practical knowledge” (as Brooks seems to), but his framing that such knowledge is imparted or absorbed says a lot about what he thinks education is. To him and others writing about MOOCs, education is the transmission (or absorption) of knowledge. That is why it is so easy for him and others to accept the MOOC model. If we can simply figure out how to transmit this knowledge into the student’s mind as efficiently as possible, we can “educate” millions.

It’s premature to think that MOOCs can or will replace brick-and-mortar institutions. In 1913, Thomas Edison said of the motion picture, “Books will soon be obsolete in the public schools. Scholars will be instructed through the eye.” It’s been a century and that still hasn’t happened. Why? Because there’s much more to education than just transmitting knowledge.

But what does the data say?

The data from MOOCs are just coming in. Over the next couple of years, we will collect more data that will help us explain what these new environments are doing for students.

The best preliminary data that I have seen so far comes from this presentation by four computer science professors. It shows the following:

  • There appears to be a well-established power law drop off for MOOC students. Only about 5-10% will earn a certificate, that is, complete the course successfully (Slide 4).
  • MOOCs are not serving a diverse audience. Certificate earners are predominately middle-aged, white males (Slide 31).
  • MOOCs are serving those who already have degrees (perhaps degrees in the field). The vast majority of certificate earners tend to hold at least a bachelor’s degree (Slide 32).

Now, these conclusions are based on a handful of courses. So that doesn’t mean such results will hold. Moreover, it’s not clear from these data what certificate earners have learned from these courses. There’s no independent measure of learning in these courses, we just see what students completed as part of the course.

My involvement in an introductory physics MOOC attempts to answer some of these questions, at least for a physics course marketed to first-time physics students. We are collecting much more demographic data from students and giving pre-post assessments that can be compared to brick-and-mortar performance. I guess we will see what happens in the fall.

Feel free to leave your comments on MOOCs below.

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Sorry for the long sabbatical

It’s been over a year since my last post, and that one wasn’t that great one, just a quick reminder that I’m still here.

I have stayed active on Twitter. I’ve met some new people and had some great conversations along the way.

Blogging hasn’t been a priority because I’ve been trying to write a bunch papers, which I have.

And land a permanent job, which I have.

And take care of a new baby, which is going OK.

But I’m going to try to write a bit more. There’s a lot of things that I’ve saved up and would like to share. So, let’s see what happens.

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A few more MMA screencasts before the semester begins…

After going through all the things we plan to have students do computationally this semester, I realized I needed a few more screencasts to provide more support for students. I created three more:

Writing functions,

Using FindRoot,

and Writing for loops.

Ben Zwickl has posted more of his lab driven screencasts on our YouTube Channel, also. Feel free to use these in you classes. And I promise, more interesting posts are coming.

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Comparing curricula using concept inventories

In the early part of my dissertation work, I was interested in comparing student performance on concept inventories. How things have changed!

Matt Kohlmyer, Michael Schatz and I wrote a paper comparing introductory E&M curricula using the Brief E&M Assessment (BEMA) in the early part of my career. You can find it here. If you want to review the BEMA, there’s a nice article here. Contact me directly if you’d like a copy of the BEMA.

In that article, we found that students taking Matter and Interactions (M&I) E&M performed better overall and on individual topics than students taking a pedagogically reformed, but traditionally sequenced E&M course at several different institutions. This led us to conclude that students taking Matter and Interactions were better prepared in E&M (as measured by the BEMA). The BEMA was specifically designed as the lowest common denominator concept inventory for E&M; hence, our conclusions were fair and justified.

In a new article that we have submitted to AJP, we performed a very similar comparison between mechanics courses: Matter and Interactions mechanics and the equivalent traditionally sequenced course. In this work, we used the Force Concept Inventory (FCI). Why? Because we had anecdotal evidence that Matter and Interactions students underperform on the FCI. This article is likely to be published in AJP which is not an open-access journal. I’m posting the preprint of the article in this post. But, it will eventually be on the arXiv.

Preprint of FCI paper

We found that students in M&I mechanics do underperform compared to students taking a traditionally sequenced course. However, in this article we did not conclude that traditional students are better prepared in mechanics. Why?

The FCI was not designed to compare curricula (or pedagogy, although it’s often used for this purpose). Moreover, the FCI is not aligned with the content and goals of the M&I course. One of the first things I learned about educational reform is the alignment of instruction and assessment. Clearly, the instruction in this case is not aligned with the FCI. In fact, the creators of M&I have clearly stated that this curriculum has fundamentally different goals (e.g., a 20th century introduction to mechanics) from a traditional course (e.g., 17th-18th century). We attempted to communicate these ideas in an earlier draft of the article.

When the preprint (and my thesis work) was originally picked up by the blog-o-sphere, our message was lost. Mark Guzdial, a member of of my thesis committee and eminent CS-ed blogger, concluded that “Computation + X doesn’t necessarily mean better learning in X“. While this might be true, it’s a terribly hard thing to measure. Nor do I believe my work in this area can make that conclusion. The whole course, not just the Python programming, is under consideration. Chad Orzel picked up an interesting thread, “practice matters.” That is quite true, but what is also important is the choice of evaluation instrument. To be fair, Chad makes a number of interesting remarks concerning the purpose of the introductory course. Is it to improve FCI scores? I think not.

In the above version of the paper, we have carefully laid out our message: concept inventories (in general) are limited. Concept inventories that are not designed with the content and goals of the course in question in mind are useful tools, but do not provide a complete picture of the course or what the students have learned. It’s very important that the evaluation match the instruction, otherwise, what are you measuring? Moreover, concept inventories are only able to compare students on concepts, methods, and tools which curricula both treat with equal intensity (like our BEMA work). Otherwise, there are caveats on the results.

Concept inventories also miss what are likely the most interesting aspect of curricular reform, the effect on new content, goals, and methods. How do we value these new effects? How are they weighed? Can we measure this? Such questions are important for those considering new ideas in their courses. And these are not easy questions are to answer. Nor are the answers fixed, but dynamically changing as we start to understand the purpose of our introductory courses.

In light of the underperformance by M&I students, is anything changing? Sure. My Georgia Tech collaborators are trying work within the curriculum to shore up conceptual difficulties. But, major changes are not planned. This is because we value the new concepts, methods, and tools of the M&I curriculum over a single measure of student performance.

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Disclaimer:
The views presented here are not necessarily those held by other members of my research group. The work discussed here is under active investigation or development and might be part of a peer-reviewed journal article in the future. I present it here because it's important that this information be discussed among those working in the community. If you are interested in any of the work I discuss or in collaborating with our group, please contact me.
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