The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Learning motivation in e-learning facilitated computer programming courses
Open accessAbstract
Computer programming skills constitute one of the core competencies that graduates from many disciplines, such as engineering and computer science, are expected to possess. Developing good programming skills typically requires students to do a lot of practice, which cannot sustain unless they are adequately motivated. This paper reports a preliminary study that investigates the key motivating factors affecting learning among university undergraduate students taking computer programming courses. These courses are supported by an e-learning system - Programming Assignment aSsessment System (PASS), which aims at providing an infrastructure and facilitation to students learning computer programming. A research model is adopted linking various motivating factors, self-efficacy, as well as the effect due to the e-learning system. Some factors are found to be notably more motivating, namely, 'individual attitude and expectation', 'clear direction', and 'reward and recognition'. The results also suggest that a well facilitated e-learning setting can enhance learning motivation and self-efficacy.
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Cited by
Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100147 · Cited by 745
Introductory programming: a systematic literature review
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Self-citationTracking e-learning through published papers: A systematic review
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Metadata
- Authors
- Law, K. M. Y., Lee, V. C. S., & Yu, Y. T.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 55
- Issue
- 1
- Pages
- 218-228
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2110323649
- Cited by
- 379
- References
- 63
- FWCI
- 29.65
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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