Baltimore , Maryland
June 25, 2023
June 25, 2023
June 28, 2023
Computing and Information Technology Division (CIT) Technical Session 2
Computing and Information Technology Division (CIT)
Diversity
11
10.18260/1-2--43370
https://peer.asee.org/43370
207
Dr. Yonghui Wang received his B.S. in Optoelectronics from Xidian University in 1993, his M.S. in electrical engineering from Beijing Polytechnic University in 1999, and his Ph.D. in computer engineering from Mississippi State University in 2003. He is currently with the Department of Computer Science at Prairie View A&M University, Prairie View, TX.
Suxia Cui is an associate professor in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). She joined PVAMU right after she obtained her Ph.D. degree in Computer Engineering from Mississippi State University in 2003. Her research interests include image and video processing, data compression, wavelets, computer vision, remote sensing, and computing education. Her projects are currently funded by NSF, United States Department of Agriculture, and Department of Education.
Bugrahan Yalvac is an associate professor of science and engineering education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ph.D. in science education at the Pennsylvania State University i
Dr. Wei Zhan is a Professor of Electronic Systems Engineering Technology at Texas A&M University. Dr. Zhan earned his D.Sc. in Systems Science from Washington University in St. Louis in 1991. From 1991 to 1995, he worked at University of California, San
Although undergraduate computing coursework covers the curriculum and most basic and advanced concepts, there still exists a big gap between what is learned in the class and its application in solving different real-life problems. Additionally, traditional teacher-centered instruction may not attract students well, and may further lead to low retention rates. Innovative pedagogies are highly demanded to enhance computing-related teaching and learning efficiencies. Based on these observations, the objectives of this study are to create a project-based maker concept instruction that will help bridge the gap between classroom studies and real-life problem-solving techniques and to cultivate a maker culture that will help form students’ learning-by-doing habits and enhance their life-long learning skills. This will help the students understand and apply their computer science knowledge in solving real-life problems and prepare them better for their future technical careers.
Learning-by-doing / maker concepts are introduced and delivered in lower-level computing courses. Student-chosen real-application-based project assignments are designed and assigned for students to solve real-life problems. Courses like Computer Science I and Computer Organization are chosen to implement this innovative instruction. Students choose their real-application-based projects and work in teams. Their projects must relate highly to the knowledge introduced in the class. For example, in Computer Organization class, students are required to design a simple computer. Students need to design their computer’s instruction set architecture, its data path, and its final implementation. In the process, students actively practice their lifelong learning skills by studying more rigorously on details about computer architecture and organization. This learning-by-doing process significantly enhances students’ understanding of the concepts learned in class. It dramatically helps students in understanding the course concepts. To further stimulate students’ learning interests, a mini maker faire is organized at the end of the semester for each course to show off students’ projects. Students communicate with and learn from their peers in a maker faire environment. Such a learning environment makes them more confident about what they learned and how they can benefit society. Students’ survey shows that this innovative pedagogy greatly helps our students and meets our expectations.
Wang, Y., & Cui, S., & Yalvac, B., & Zhan, W. (2023, June), How Maker Culture Improves Students’ Learning Experiences in Computing Programs Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43370
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: © 2023 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