April 28, 2014, 12:00 pm
I had to take a bit of a hiatus for the last two weeks to finish up the semester and to give and grade exams. Now that this is over, I wanted to come back and address some of the comments in these two posts. Specifically, many of those comments are principled skepticisms of flipped learning and the flipped classroom, and rather than bury my responses in an already crowded comment thread, I thought they deserved to be brought up point by point for discussion.
Here’s the first one to bring up, and it’s a tough one. This (and many of the other topics I’ll be bringing up) come directly from Manda Caine’s comment on one of those earlier posts. She said:
When my colleagues and I have [taught with a flipped classroom], students do not perceive that a professor is teaching them at all, so we have comments such as, “We could just do this at home” or “Why am I paying all this…
April 8, 2014, 2:58 pm
Last week I posted what I considered to be an innocuous and mildly interesting post about a proposed formal definition of flipped learning. I figured it would generate a few retweets and start some conversations. Instead, it spawned one of the longest comment threads we’ve had around here in a while – probably the longest if you mod out all the Khan Academy posts. It was a comment thread that made me so angry in places that it has taken me a week to calm down to the point where I feel I can respond.
It takes a bit of backstory to explain why I was so emotionally worked up over some of the comments in that thread, so bear with me for a minute.
We’re in week 13 of our semester here. I am teaching three courses (two preps), all using flipped learning models. One of these courses is part of the General Education curriculum, and the other serves mostly students in the CS…
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…
March 11, 2014, 2:34 pm
In the previous post about the flipped/inverted calculus class, we looked at getting student buy-in for the flipped concept, so that when they are asked to do Guided Practice and other such assignments, they won’t rebel (much). When you hear people talk about the flipped classroom, much of the time the emphasis is on what happens before class – the videos, how to get students to do the reading, and so on. But the real magic is what happens in class when students come, prepared with some basic knowledge they’ve acquired for themselves, and put it to work with their peers on hard problems.
But before this happens, there’s an oddly complex buffer zone that students and instructors have to cross, and that’s the time when students arrive at the class meeting. Really? you are thinking. How can arrival to class be such a complicated thing? They show up, you get to work, right? Well…
March 5, 2014, 2:37 pm
In my last post about the inverted/flipped calculus class, I stressed the importance of Guided Practice as a way of structuring students’ pre-class activities and as a means of teaching self-regulated learning behaviors. I mentioned there was one important difference between the way I described Guided Practice and the way I’ve described it before, and it focuses on the learning objectives.
A clear set of learning objectives is at the heart of any successful learning experience, and it’s an essential ingredient for self-regulated learning since self-regulating learners have a clear set of criteria against which to judge their learning progress. And yet, many instructors – myself included in the early years of my career – never map out learning objectives either for themselves or for their students. Or, they do, and they’re so mushy that they can’t be measured – like any…
March 4, 2014, 2:59 pm
This post continues the series of posts about the inverted/flipped calculus class that I taught in the Fall. In the previous post, I described the theoretical framework for the design of this course: self-regulated learning, as formulated by Paul Pintrich. In this post, I want to get into some of the design detail of how we (myself, and my colleague Marcia Frobish who also taught a flipped section of calculus) tried to build self-regulated learning into the course structure itself.
We said last time that self-regulated learning is marked by four distinct kinds of behavior:
- Self-regulating learners are an active participants in the learning process.
- Self-regulating learners can, and do, monitor and control aspects of their cognition, motivation, and learning behaviors.
- Self-regulating learners have criteria against which they can judge whether their current learning status is…
March 3, 2014, 9:00 am
A few weeks ago I began a series to review the Calculus course that Marcia Frobish and I taught using the inverted/flipped class design, back in the Fall. I want to pick up the thread here about the unifying principle behind the course, which is the concept of self-regulated learning.
Self-regulated learning is what it sounds like: Learning that is initiated, managed, and assessed by the learners themselves. An instructor can play a role in this process, so it’s not the same thing as teaching yourself a subject (although all successful autodidacts are self-regulating learners), but it refers to how the individual learner approaches learning tasks.
For example, take someone learning about optimization problems in calculus. Four things describe how a self-regulating learner approaches this topic.
- The learner works actively on optimization problems as the primary form of…
February 11, 2014, 2:46 pm
I am very excited to present this next installment in the 4+1 Interview series, this time featuring Prof. Eric Mazur of Harvard University. Prof. Mazur has been an innovator and driving force for positive change in STEM education for over 25 years, most notably as the inventor of peer instruction, which I’ve written about extensively here on the blog. His talk “Confessions of a Converted Lecturer” singlehandedly and radically changed my ideas about teaching when I first saw it six years ago. So it was great to sit down with Eric on Skype last week and talk about some questions I had for him about teaching and technology.
You can stream the audio from the interview below. Don’t miss:
- A quick side trip to see if peer instruction is used in K-6 classrooms.
- Thoughts about how Eric’s background as a kid in Montessori schools affected his thoughts about teaching later.
- What’s going…
January 24, 2014, 8:03 am
Here are some items from around the web for your weekend enjoyment.
- Here’s a great post on Medium by Nik Custodio in which he explains Bitcoin like I’m five. I think the audience level here is rather older than five, but it’s still probably the best explanation of the problems that Bitcoin attempts to solve, and how it solves them, that I’ve seen. (I wasn’t sure whether to file this under “Math” or “Technology” because it’s a lot of both.)
- If you’ve ever been interested in standards-based grading, you won’t want to miss Kate Owens’ post An Adventure in Standards-Based Calculus where she lays out why, and bits about “how”, she intends to use SBG in her Calculus 2 course this semester. Don’t miss the link to George McNulty’s calc 2 syllabus at the end, which is a great example of how to use SBG in actual practice.
- Good report…