Teaching Computational Thinking and Python Programming for Business Students : A Preliminary Study of the Alignment of Teaching and Learning Strategies with Bloom’s Taxonomy of Learning Outcomes

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationCoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020
EditorsSiu-cheung KONG, Heinz Ulrich HOPPE, Ting-chia HSU
PublisherThe Education University of Hong Kong
Pages114-118
Publication statusPublished - Aug 2020

Publication series

NameProceedings of International Conference on Computational Thinking Education
ISSN (Print)2664-5661

Conference

Title4th International Conference on Computational Thinking Education (CTE 2020)
LocationOnline
PlaceHong Kong
Period19 - 21 August 2020

Abstract

Teaching computational thinking for business students at the University level has been challenging because business students normally have little and/or heterogenic computer programming background. Also, there are very few literature that examines the alignment of appropriate teaching and learning theories/strategies with different levels of cognitive processes/learning outcomes for teaching business students computational thinking. This preliminary study is to address these gaps by proposing and exemplifying an alignment of six teaching and learning strategies with the six levels of the Bloom’s taxonomy of learning outcomes for teaching business students, with different computer programming background, Python programming at the University level. University lecturers could use these six proposed teaching and learning strategies as a guideline to design their course contents and materials for teaching business students Python programming at the University level. Further research direction was discussed.

Research Area(s)

  • computational thinking, Python programming, Bloom's taxonomy, teaching and learning strategies

Citation Format(s)

Teaching Computational Thinking and Python Programming for Business Students : A Preliminary Study of the Alignment of Teaching and Learning Strategies with Bloom’s Taxonomy of Learning Outcomes. / LAI, Gabriel Chun-Hei; KWOK, Ron Chi-Wai; KONG, Joseph Siu-Lung.

CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020. ed. / Siu-cheung KONG; Heinz Ulrich HOPPE; Ting-chia HSU. The Education University of Hong Kong, 2020. p. 114-118 (Proceedings of International Conference on Computational Thinking Education).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review