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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
Date Issued
2020
Citation
Lai, G. C. H., Kwok, R. C. W., & Kong, J. S. L. (2020 Aug 19). 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. CTE2020, Online.
Type
Conference Paper
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.
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