November 19, 2014, 3:57 pm
This is the last of three videos that I made for the An Introduction to Evidence-Based Undergraduate STEM Teaching on Coursera. Here, I describe how I make what I call a “working example” video, one in which I am working out an example as if at a whiteboard, only on an iPad screen.
As with everything, there is more than one way to do this. I used to use a Wacom tablet and the Flysketch app to annotate PDF’s and record the action. I’m more iPad-centric these days but even now my methods are still a work in progress. Since the making of this video, I’ve tried to make a couple of working example videos for my classes, but the Doceri window that appears on the Mac has a lot of flicker on it, so much that it’s distracting when viewing the final product. I don’t know why this is the case, but it’s led me to consider other workflows, including recording the entire screencast on Doceri…
November 11, 2014, 1:50 pm
Here is the second video in the three-part series that I did for the An Introduction to Evidence-Based Undergraduate STEM Teaching on Coursera. This is one gets under the hood about how I make the videos I call “talking head” videos — where it’s just a voiceover and some lecture slides running. The talking head video is very similar to a traditional lecture or a conference talk, so for those instructors out there who are looking to transition to a flipped learning model, or make additional video content available to students and are looking for the simplest place to start, this would probably be it.
I should note that I probably overcomplicate this process. In PowerPoint and Keynote, for example, you can record a voiceover while the slides are playing — just use the built-in computer microphone, and there’s no additional hardware or software needed. I’m just a stickler for good…
August 12, 2014, 12:22 pm
One of my Twitter people asked me to share my thoughts on yesterday’s Chronicle article, “Can Universities Use Data to Fix What Ails the Lecture?” At the time, I skimmed the article and replied that LectureTools, the technological tool developed by Perry Samson to gather real-time data from students during a lecture, reminded me of the contraption you see in the photo to your left. That’s an automated chalkboard eraser. As technology goes, it’s quite effective in what it does. Just look at how clean that board is! Which is great but… that’s a chalkboard for goodness’ sake. A piece of communications technology that is not significantly different than prehistoric cave drawing, and which has been improved upon countless times. (Purists who still cling to chalkboards: You guys are Luddites. Sorry.) Strapping an awesome piece of technology to a chalkboard doesn’t make the …
June 28, 2014, 9:57 am
On Twitter this week, someone sent out a link to this survey from the NCTM asking users to submit their ideas for “grand challenges” for mathematics education in the coming years. I forget the precise definition and parameters for a “grand challenge” and I can’t go back to the beginning of the survey now that I’ve completed it, but the gist is that a grand challenge should be “extremely difficult but doable”, should make a positive impact on a large group of mathematics students, and should be grounded in sound pedagogical research.
To that list of parameters, I added that the result of any grand challenge should include a set of free, open-source materials or freely-available research studies that anyone can obtain and use without having to subscribe to a journal, belong to a particular institution, or use a particular brand of published curricula. In other words, one…
June 16, 2014, 5:18 pm
Greetings from Indianapolis, my old stomping grounds, where I’m attending the 2014 American Society for Engineering Education Conference. I’m speaking tomorrow morning on the flipped classroom in calculus and its implications for engineering education, and I’m also the Mathematics Division chair this year and so I have some plate-spinning functions to perform.
But what I wanted to just briefly note right now are some news items that I picked up from some folks at the Wolfram Research booth about upcoming developments with Mathematica and the still-sort-of-new Wolfram Language.
First: Mathematica is not being rebranded as the Wolfram Language. Two weeks ago, this post was put up at the Wolfram Blog that said
Back in 2012, Jon McLoone wrote a program that analyzed the coding examples of over 500 programming languages that were compiled on the wiki site Rosetta Code. He…
June 13, 2014, 2:40 pm
This article, “The Case for Banning Laptops in the Classroom”, written by Dan Rockmore for The New Yorker, has been getting considerable airtime on social media this week. As a classroom instructor I can certainly attest to the power of technology to distract and interfere with student learning. But I had three issues with the “case” being made.
1. Because the headline focuses on banning laptops from the classroom, it’s easy to miss this very important point made in the article:
These examples [of how learning is negatively affected by the presence of technology] can be seen as the progeny of an ill-conceived union of twenty-first-century tools (computers, tablets, smartphones) with nineteenth-century modalities (lectures). I’m not discussing the “flipped classroom,” wherein lectures are accessed outside of class on digital devices and the classroom is used as a…
May 19, 2014, 12:25 pm
Right now I’m preparing for a talk I’m giving next month, in which I’ll be speaking on using technology to connect students, faculty and institutions to the fundamentally human activities of learning and growth. Of those three groups – students, faculty, and institutions – I’m finding it to be a lot easier to talk about students and faculty and their relationship to technology than it is to talk about institutions. I’m wondering: Why is that?
After all, people are messy – we are a combination of social backgrounds, economic statuses, geography, past learning experiences, attitudes, preconceptions and more. When we advocate for the “use of technology” in learning, this phrase has to take all of these aspects of each person involved into account. That’s what makes the “use of technology” hard – and it explains why simplistic applications of technology in…
May 16, 2014, 9:46 am
To continue the blog post series I’ve been doing (installments one, two, and three) that addresses skepticisms about flipped learning, I wanted to dip into something other than my own comment sections, and go to a general class of skepticisms I’ve heard when I do workshops. Those skepticisms involve technology. Specifically, although I’ve never heard a single formulation of this skepticism, there are two ways it can occur:
- I’m skeptical about the flipped classroom because implementing it requires technology, and not all students have access to the technology they need.
- I’m skeptical about the flipped classroom because implementing it requires technology, and I (the instructor) don’t have the time/inclination/skill to learn what I need.
As I’ll explain, I think it’s possible these are legitimate concerns, but they’re easily dealt with in a number of ways.
March 18, 2014, 4:34 pm
Yesterday I got an email from a reader who had read this post called What should math majors know about computing? from 2007. In the original article, I gave a list of what computing skills mathematics majors should learn and when they should learn them. The person emailing me was wondering if I had any updates on that list or any new ideas, seven years on from writing the article.
If anything, over the past seven years, my feelings about the centrality of computing in the mathematics major have gotten even more entrenched. Mostly this is because of two things.
First, I know more computer science and computer programming now than I did in 1997. I’ve learned Python over the last three years along with some of its related systems like NumPy and SciPy, and I’ve successfully used Python as a tool in my research. I’ve taken a MOOC on algorithms and read, in whole or in part, books…