Sign In

Communications of the ACM

BLOG@CACM

Teaching Teachers to Offer STEM to Undergrads


View as: Print Mobile App ACM Digital Library Full Text (PDF) In the Digital Edition Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
Professor Mark Guzdial

Credit: University of Michigan

http://bit.ly/2RVYGk6 January 3, 2020

In December, I had the honor of providing a keynote talk at the CUE.NEXT Workshop in Washington, D.C. The goal of the CUE.NEXT workshop series is to envision the future of computing in undergraduate education. At the website (https://cue.northwestern.edu/), organizers Larry Birnbaum, Susanne Hambrusch, and Clayton Lewis describe the purpose of the workshop:

Computing and computer science have become relevant to undergraduate education in all disciplines. Academic institutions are challenged to meet the demand of the growing and increasingly diverse student body seeking to learn more about computing, computer science, and the role of computation in their own disciplines. Courses and curricula aimed at teaching the fundamental technologies of computer science to CS majors often do not meet the needs of this wider student audience... The goal of the CUE.NEXT workshops is to initiate a national dialog on the role of computing in undergraduate education. Computing educators and CS departments, as well as colleagues and academic units representing other stakeholder disciplines, will work together to understand and address the challenges.

U.S. academic institutions participating sent a team of CS and other-than-CS faculty to develop approaches for providing CS education to other-than-CS undergraduates. I was there for the day, participating in two breakout sessions and giving my keynote. The first breakout session was amazing; I learned new perspectives about the challenges of growing CS education in K-12 in the U.S.

Back to Top

Educating K-12 Teachers

The first breakout sessions were organized by discipline. All three CUE.NEXT workshops included faculty interested in STEM, engineering, humanities, arts and media, economics, and social sciences. I went to a breakout session on Education. Around the table were more than a dozen education faculty interested in providing new or developing teachers (pre-service) the computing education they would need.

Because of my work with the ECEP Alliance (https://ecepalliance.org/), I know education faculty pushing for computing in teacher development, and I'm reasonably familiar with teacher policies in a handful of states. The education faculty around the table at the CUE.NEXT workshop were from states I wasn't familiar with. They were faculty in math and science education dealing with new demands for computing education. This was a different sample of education faculty than I had worked with before.

I'll structure my report in terms of quotes I have in my notes.

"Lots of education faculty think CS is going to go away."

I was surprised by that. I think of computing education as a new literacy (as described on the Computing Education Research Blog, http://bit.ly/2v1Ug1M), and while we're currently pretty small (see data in my earlier blog, http://bit.ly/2vHAGs1), we're growing. CS education for all is inevitable, or so I thought. There have been lots of education fads over the years (as observed in http://bit.ly/2Scy90N); many education faculty think teaching programming is just the latest.

"CS isn't real or relevant, vs. hammer to nail."

There are several comparisons between computer science and shop classes. Shop classes include things like woodworking and automotive repair. Those are real, and deal with concrete things. Computer science doesn't seem nearly as real or relevant to the teachers in their programs.

"I'm teaching elementary school, so I don't need programming."

The education faculty around my table saw that as a problem, that teachers focused on elementary school saw programming as scary and not really necessary or helpful. They talked about using cute robots as a way of drawing in elementary school teachers.

"Science education is so packed. We can't fit programming in."

Most requirements in teacher professional development programs in the states represented around the table are fixed by state law or regulation. The schools have few options. Particularly in programs in science and mathematics, there are no electives; all the classes are required. There is simply no place for another course to teach computer science. If we want science and mathematics teachers (among others) to learn about computing, we have to integrate it into existing classes. We heard about faculty fitting programming into science or mathematics methods ("how to teach X") courses, or into educational technology courses.

"Less trying to teach programming to teach programming, and more programming to serve the domain."

Nobody around the table with me was trying to teach future computer science teachers. They had no resources to do that. They were teaching future teachers to use programming to serve the domains they're teaching.

I asked the science ed faculty around the room what integration approaches they were using: Bootstrap Physics (https://www.bootstrapworld.org/materials/physics/), or Project GUTS for Middle School Science (https://www.project-guts.org/), or CT-STEM with NetLogo (https://ct-stem.northwestern.edu/), or something else? There was a long pause, then one professor spoke up:

"I don't know most of the words you just said."

Projects grown out of computing education are mostly unknown to math and science educators. The education faculty at the table with me were "growing their own." They were working with Scratch or App Inventor and trying to map from science standards in their state to computing activities.

There was a long discussion about barriers to entry for teachers. Math classes are one barrier; a lot of potential future teachers never make it past math classes. When math content is taught by education faculty, future teachers do better, but that creates a huge load on education faculty. Burnout is a significant problem. The education faculty are worried computer science might become the next barrier to teachers.

If we really want pre-service teachers to learn about computer science, these are the lessons that we have to hear. We have to learn about their problems and help to address them.

Back to Top

We Don't Need CS Faculty to Teach CS

My keynote slides are at http://bit.ly/31G9EgR.

I started with a review of the state of high school CS education today, to make the point few U.S. high school students ever take a CS course. If you want your undergraduates to learn CS, you have to put it in your undergraduate curriculum.

I told three stories: About how we designed the Media Computation course for liberal arts majors at Georgia Tech, about the need for Computational Literacy, and about how CS pedagogy needs to change to reach other-than-CS majors. (The last part is available as a video at http://bit.ly/395y59T.)

I ended with a claim that undergraduate teachers of computer science do not have to be computer science faculty. The most important knowledge a CS teacher needs is about the practices of computing within that discipline. CS faculty is likely know about software development practices; they don't necessarily know how computing is used in science, engineering, mathematics, liberal arts, or social sciences. The next most important knowledge is called pedagogical content knowledge: how to teach CS well. CS faculty tend not be well-informed about how to teach CS well (as described in the blog post at http://bit.ly/2UjSbca). It's not clear there's an advantage in having CS faculty teaching non-CS majors — and we don't have the capacity in U.S. universities. We should share the load.

Back to Top

Author

Mark Guzdial is a professor in the Computer Science & Engineering Division, and in the Engineering Education Research program, of the University of Michigan.


©2020 ACM  0001-0782/20/4

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or fee. Request permission to publish from permissions@acm.org or fax (212) 869-0481.

The Digital Library is published by the Association for Computing Machinery. Copyright © 2020 ACM, Inc.


 

No entries found