Machine Learning Tools Improve Students’ Motivation to Learn Computational Thinking (76581)

Session Information: Design, Implementation & Assessment of Innovative Technologies in Education
Session Chair: Hung-Hsiang Wang

Thursday, 23 November 2023 14:45
Session: Session 4
Room: Room 705
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

Computational thinking is widely recognized as the key to design students' creativity. While most studies focus on teaching coding to students to develop their computational thinking, there is a lack of interest among design students who have minimal or no coding skills. This study aims to improve students' motivation for learning by introducing machine learning tools into product design processes. A quasi-experiment was conducted among 56 design students at a university. Participants attended workshops for six weeks and a total of 18 hours, and statistical analysis was carried out by multivariate analysis of variance and covariates. The results show that the correlation of general motivation for learning and computational thinking skills in the group that uses the Weka machine learning tool is significantly higher than those in the group that does not use the tool. However, there was no significant difference between learning strategies and cooperative and critical thinking between the two groups. This study suggests that learning software tools without code improves learners' motivation and computational thinking skills.

Hung-Hsiang Wang, National Taipei University of Technology, Taiwan
Chun-Han Wang, University of California, United States

About the Presenter(s)
Dr. Hung-Hsiang Wang is Professor of Industrial Design and Associate Dean at Taipei Tech, with interests in product-service system design and applications of AI technologies. His current projects include computational thinking and design typicality.

Connect on Linkedin

Connect on ResearchGate

See this presentation on the full scheduleThursday Schedule

Conference Comments & Feedback

Place a comment using your LinkedIn profile


Share on activity feed

Powered by WP LinkPress

Share this Presentation

Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00