
One of the reasons Associate Professor of Mathematics Mahesh Agarwal is so optimistic about the digital revolution now happening in higher education is that he considers himself a living testimonial. This is a guy, after all, who a few years ago used MOOCs鈥攎assive open online courses鈥攐ffered by Stanford and others to teach himself computer programming.
In fact, he got so much out of it, it left him eager to experience life from the other side of the online classroom. He wasn鈥檛 shy about his choice of courses he wanted to teach either. The class he pitched to his department for a digital offering was the demanding linear algebra course.
鈥淭here鈥檚 a perception out there that you can鈥檛 teach math online,鈥 Agarwal said. 鈥淢athematics courses, in general, have the highest drop and fail rates. So the thought is that you can鈥檛 outsource this part of learning to the students. But I didn鈥檛 see it that way.鈥
To design his own course, Agarwal called on the things that worked best for him as a student: participatory exercises that provided feedback along the way; an engaging discussion community where 鈥渂asically any question you could think of could get answered鈥; and the backbone of many online courses鈥攑olished, professionally recorded lectures.
鈥淭his wasn鈥檛 something I just shot in my basement on my laptop,鈥 Agarwal said, laughing. 鈥淚 went to the [U-M Office of Academic Innovation] studio in Ann Arbor, where they record their MOOCs. It鈥檚 impossible for me to be more thankful. The staff over there know all the little things鈥攍ike when to do picture-in-picture, when to show a slide, how to simplify the post-production. It really is an art form.鈥
Agarwal also added a few touches of his own. He had seen research that some students learn better from their peers, so he enlisted an enthusiastic undergraduate student to record supplemental video tutorials. And when he noticed that students weren鈥檛 picking up their graded tests (the one offline component of the course), he added a program that allowed him to easily scan exams so they wouldn鈥檛 miss out on valuable feedback.
The platforms Agarwal used to build his course also had powerful learning analytics, including tools that helped him monitor whether the video lectures he painstakingly designed were actually connecting.
鈥淔or example, the system lets you see what the drop-off rate is in the video lecture, or where the students stop paying attention. That tells you either you鈥檝e got the attention span wrong, or you have an idea that鈥檚 too complex for them to understand,鈥 he said. 鈥淭hat鈥檚 a signal to me that I need to reinforce an idea or redo something in the video lecture.鈥
That鈥檚 something he does often in this semester鈥檚 鈥渇lipped鈥 version of the linear algebra course. In this hybrid setting, students watch the lectures beforehand, and then use class time for exercises and deeper dives into tough concepts. Given how things are going so far, Agarwal said he鈥檚 鈥渧ery, very confident鈥 he鈥檒l see much better results in his flipped class. Students in his original online course already showed they could hang academically with their offline classmates.
For Agarwal, it鈥檚 evidence that even difficult classes can be taught online鈥攖hough he doesn鈥檛 necessarily think all classes are the best fit for this format.
鈥淚 think the best model, in many cases, is actually some kind of blend,鈥 Agarwal said. 鈥淚 think the one thing to avoid is using canned learning products. If that鈥檚 all you have to offer, students will start questioning the value of what we are bringing to the table. But it鈥檚 clear鈥攊f we get the blend right鈥攖hat digital education can change student experiences in a very significant way.鈥