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ERIC Number: EJ1297272
Record Type: Journal
Publication Date: 2021
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1029-8457
EISSN: N/A
Constructive Alignment for Deep Learning in Undergraduate Civil Engineering Education
Das, Dillip Kumar
African Journal of Research in Mathematics, Science and Technology Education, v25 n1 p77-90 2021
Attainment of competency is crucial for civil engineering students to solve socio-economic and environmental challenges and contribute to the development of a sustainable society by using engineering principles. Consequently, competency has become the measure of engineering graduates for which deep learning is essential. Constructive alignment has been argued to be vital for deep learning. The objective of the study was therefore to examine how constructive alignment could enforce deep learning among civil engineering students. The study was contextualised within an undergraduate civil engineering programme in a university of technology in South Africa. Mixed-methods research comprising student perceptions, focus group discussions and a case study was used for the study. Findings suggested that when the three components, namely, the intended learning outcomes, teaching and learning activities, and assessment tasks, are appropriately aligned, students learn deeply compared with the conventional form of learning. Furthermore, clear criteria to measure student performance, as well as structured written and oral feedback together are vital for deep learning.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Africa
Grant or Contract Numbers: N/A