Publication: Individual learning effectiveness based on cognitive taxonomies and constructive Alignment
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Issued Date
2020-11-16
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ISSN
21593450
21593442
21593442
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2-s2.0-85098981095
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Mahidol University
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SCOPUS
Bibliographic Citation
IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol.2020-November, (2020), 1002-1006
Suggested Citation
Phat Huu Nguyen, Preecha Tangworakitthaworn, Lester Gilbert Individual learning effectiveness based on cognitive taxonomies and constructive Alignment. IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol.2020-November, (2020), 1002-1006. doi:10.1109/TENCON50793.2020.9293733 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/60904
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Title
Individual learning effectiveness based on cognitive taxonomies and constructive Alignment
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Abstract
© 2020 IEEE. Online learning is becoming increasingly popular and used in many academic disciplines due to its advantages, where learners can access courses from anywhere and at any time. Besides benefits, online learning may have limitations, such as slow response times when bandwidth is limited, or inflexible one-size-fits-all content without regard for the learner's background or knowledge state. This paper presents an approach to more flexible online learning, where recommended learning paths are derived from the results of learning activities and assessment tasks. The proposed paths comprise multiple intended learning outcome (ILO) nodes based upon and sequenced according to Bloom's taxonomies and Biggs' principles of constructive alignment (PCA).