Individual learning effectiveness based on cognitive taxonomies and constructive Alignment

Phat Huu Nguyen; Preecha Tangworakitthaworn; Lester Gilbert

doi:10.1109/TENCON50793.2020.9293733

Individual learning effectiveness based on cognitive taxonomies and constructive Alignment

Phat Huu Nguyen
, Preecha Tangworakitthaworn
, Lester Gilbert

Computer Science Academic Group

Mahidol University
University of Southampton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

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).

Original language	English
Title of host publication	2020 IEEE Region 10 Conference, TENCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1002-1006
Number of pages	5
ISBN (Electronic)	9781728184555
DOIs	https://doi.org/10.1109/TENCON50793.2020.9293733
Publication status	Published - 16 Nov 2020
Event	2020 IEEE Region 10 Conference, TENCON 2020 - Virtual, Osaka, Japan Duration: 16 Nov 2020 → 19 Nov 2020

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2020-November
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2020 IEEE Region 10 Conference, TENCON 2020
Country/Territory	Japan
City	Virtual, Osaka
Period	16/11/20 → 19/11/20

Keywords

Cognitive taxonomy
Competency development
Constructive alignment
Learner's competency
Learning effectiveness

Access to Document

10.1109/TENCON50793.2020.9293733

Cite this

Nguyen, P. H., Tangworakitthaworn, P., & Gilbert, L. (2020). Individual learning effectiveness based on cognitive taxonomies and constructive Alignment. In 2020 IEEE Region 10 Conference, TENCON 2020 (pp. 1002-1006). Article 9293733 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON50793.2020.9293733

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Nguyen, PH, Tangworakitthaworn, P & Gilbert, L 2020, Individual learning effectiveness based on cognitive taxonomies and constructive Alignment. in 2020 IEEE Region 10 Conference, TENCON 2020., 9293733, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2020-November, Institute of Electrical and Electronics Engineers Inc., pp. 1002-1006, 2020 IEEE Region 10 Conference, TENCON 2020, Virtual, Osaka, Japan, 16/11/20. https://doi.org/10.1109/TENCON50793.2020.9293733

Individual learning effectiveness based on cognitive taxonomies and constructive Alignment. / Nguyen, Phat Huu; Tangworakitthaworn, Preecha; Gilbert, Lester.
2020 IEEE Region 10 Conference, TENCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1002-1006 9293733 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2020-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Competency development

KW - Constructive alignment

KW - Learner's competency

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Nguyen PH, Tangworakitthaworn P, Gilbert L. Individual learning effectiveness based on cognitive taxonomies and constructive Alignment. In 2020 IEEE Region 10 Conference, TENCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1002-1006. 9293733. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON50793.2020.9293733

Individual learning effectiveness based on cognitive taxonomies and constructive Alignment

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