Measuring the Computational Thinking Ability and Surveying Freshman Students’ Opinions on Teaching and Learning Styles


Computational Thinking (CT) is a key skill in the 21st century that everyone needs, rather than just being a programming skill used only by programmers. To develop students' systematic thinking and analytical ability, we should add computational thinking to them. A sample group consisted of 89 freshman students attending the Department of Educational Communications and Technology of King Mongkut's University of Technology Thonburi, Thailand. They completed a Computational Thinking Test (CTt) and a students’ opinions survey. Reliability as internal consistency of the CTt, measured by Cronbach’s Alfa is ∝ = 0.79. This test is aimed at measuring the students’ CT ability. The CTt had 20 multiple choice items and consisted of four components: Decomposition, Pattern Recognition, Abstraction, and Algorithm Design. The results revealed both males and females have equally average scores; however, their scores were lower than that of the criterion; consequently, they should be cultivated CT. The results from the students’ opinions survey indicated that most respondents liked working with friends and learning by doing; in addition, they also admired an instructor who always applied problems in real life to teach them and combined Face-to-Face and Online Learning. These results can be applied in future research related to instructional design to the development of computational thinking ability.

Author Information
Virawan Amnouychokanant, King Mongkut's University of Technology Thonburi, Thailand
Surapon Boonlue, King Mongkut's University of Technology Thonburi, Thailand
Saranya Chuathong, King Mongkut's University of Technology Thonburi, Thailand
Kuntida Thamwipat, King Mongkut's University of Technology Thonburi, Thailand

Paper Information
Conference: SEACE2020
Stream: Learning Experiences

This paper is part of the SEACE2020 Conference Proceedings (View)
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Posted by amp21