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

Gabriel Chun-Hei LAI; Ron Chi-Wai KWOK; Joseph Siu-Lung KONG

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

Gabriel Chun-Hei LAI^*, Ron Chi-Wai KWOK, Joseph Siu-Lung KONG

^*Corresponding author for this work

Department of Information Systems

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020
Editors	Siu-cheung KONG, Heinz Ulrich HOPPE, Ting-chia HSU
Publisher	The Education University of Hong Kong
Pages	114-118
Publication status	Published - Aug 2020
Event	4th International Conference on Computational Thinking Education (CTE 2020) - Online, Hong Kong, China Duration: 19 Aug 2020 → 21 Aug 2020 https://www.eduhk.hk/cte2020/

Publication series

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

Conference

Conference	4th International Conference on Computational Thinking Education (CTE 2020)
Abbreviated title	CTE2020
Place	Hong Kong, China
Period	19/08/20 → 21/08/20
Internet address	https://www.eduhk.hk/cte2020/

Research Keywords

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

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LAI, G. C.-H., KWOK, R. C.-W., & KONG, J. S.-L. (2020). 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. In S. KONG, H. U. HOPPE, & T. HSU (Eds.), CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020 (pp. 114-118). (Proceedings of International Conference on Computational Thinking Education). The Education University of Hong Kong.

LAI, Gabriel Chun-Hei ; KWOK, Ron Chi-Wai ; KONG, Joseph Siu-Lung. / 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. CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020. editor / Siu-cheung KONG ; Heinz Ulrich HOPPE ; Ting-chia HSU. The Education University of Hong Kong, 2020. pp. 114-118 (Proceedings of International Conference on Computational Thinking Education).

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title = "Teaching Computational Thinking and Python Programming for Business Students: A Preliminary Study of the Alignment of Teaching and Learning Strategies with Bloom{\textquoteright}s Taxonomy of Learning Outcomes",

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{\textquoteright}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.",

keywords = "computational thinking, Python programming, Bloom's taxonomy, teaching and learning strategies",

author = "LAI, {Gabriel Chun-Hei} and KWOK, {Ron Chi-Wai} and KONG, {Joseph Siu-Lung}",

year = "2020",

month = aug,

language = "English",

series = "Proceedings of International Conference on Computational Thinking Education",

publisher = "The Education University of Hong Kong",

pages = "114--118",

editor = "Siu-cheung KONG and HOPPE, {Heinz Ulrich} and Ting-chia HSU",

booktitle = "CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020",

note = "4th International Conference on Computational Thinking Education (CTE 2020), CTE2020 ; Conference date: 19-08-2020 Through 21-08-2020",

url = "https://www.eduhk.hk/cte2020/",

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LAI, GC-H , KWOK, RC-W & KONG, JS-L 2020, 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. in S KONG, HU HOPPE & T HSU (eds), CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020. Proceedings of International Conference on Computational Thinking Education, The Education University of Hong Kong, pp. 114-118, 4th International Conference on Computational Thinking Education (CTE 2020), Hong Kong, China, 19/08/20.

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 32 - Refereed conference paper (with host publication) › peer-review

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T2 - 4th International Conference on Computational Thinking Education (CTE 2020)

AU - LAI, Gabriel Chun-Hei

AU - KWOK, Ron Chi-Wai

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PY - 2020/8

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AB - 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.

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M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - Proceedings of International Conference on Computational Thinking Education

SP - 114

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BT - CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020

A2 - KONG, Siu-cheung

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PB - The Education University of Hong Kong

Y2 - 19 August 2020 through 21 August 2020

ER -

LAI GCH , KWOK RCW, KONG JSL. 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. In KONG S, HOPPE HU, HSU T, editors, CoolThink@JC - Proceedings of International Conference on Computational Thinking Education 2020. The Education University of Hong Kong. 2020. p. 114-118. (Proceedings of International Conference on Computational Thinking Education).

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

Abstract

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Research Keywords

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