Virtual Conference
July 26, 2021
July 26, 2021
July 19, 2022
Computers in Education
Diversity
10
10.18260/1-2--36827
https://peer.asee.org/36827
517
Gulustan Dogan is an assistant professor at University of North Carolina Wilmington in Computer Science department. She worked at Yildiz Technical University, Istanbul, Turkey as an Associate Professor. She worked at NetApp and Intel as a software engineer in Silicon Valley. She received her PhD degree in Computer Science from City University of New York. She received her B.Sc degree in Computer Engineering from Middle East Technical University, Turkey. She is one of the founding members of Turkish Women in Computing (TWIC), a Systers community affiliated with Anita Borg Institute. She also serves as Ambassador of Women In Data Science Stanford.
Ms. Damla Surek is a Computer Education and Instructional Technology student in her third year at Yildiz Technical University in Istanbul, Turkey.
We propose Computational Thinking (CT) as an innovative pedagogical approach with broad application. Research and current industry trends illustrate that students should have a solid computational thinking ability in order to have the skills required for future jobs in Artificial Intelligence. Due to current social issues regarding COVID-19 and natural disasters, we are rapidly moving towards a cyberspace era where many citizens will conduct their work online. Understanding the foundations and tools of computation – e.g., abstraction, decomposition, pattern recognition – is critical for any student to be prepared for the digital AI age. Believing students should be fully prepared for future jobs that involve computation, we developed a CT module on a Learning Management System (LMS). We have collected data of students who took our CT course module. We looked into the students’ activity records and analyzed the number of students’ views on the pages and the number of participants on each quiz. We counted the total number of engagements of the ten components in the CT course module. Ultimately, we believe that our modules had a greater impact on those students who were newer to computational thinking, over those who had prior experience and were enrolled in upper-level computational courses.
Dogan, G., & Song, Y., & Surek, D. (2021, July), Computational Thinking: A Pedagogical Approach Developed to Prepare Students for the Era of Artificial Intelligence Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36827
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2021 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015