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Learning by reviewing paper-based programming assessments
Vance Paredes, Yancy; Azcona, David; Hsiao, I-Han; Smeaton, Alan F.
This paper presents a retrospective analysis of students’ use of self-regulated learning strategies while using an educational technology that connects physical and digital learning spaces. A classroom study was carried out in a Data Structures & Algorithms course offered by the School of Computer Science. Students’ reviewing behaviors were logged and the associated learning impacts were analyzed by monitoring their progress throughout the course. The study confirmed that students who had an improvement in their performance spent more time and effort reviewing formal assessments, particularly their mistakes. These students also demonstrated consistency in their reviewing behavior throughout the semester. In contrast, students who fell behind in class ineffectively reviewed their graded assessments by focusing mostly on what they already knew instead of their knowledge misconceptions.
Keyword(s): Artificial intelligence; Machine learning; Programming learning; Reviewing behavior; Educational technology; · Educational data mining; Behavioral analytics
Publication Date:
2018
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Vance Paredes, Yancy ORCID: 0000-0002-8039-7970 <https://orcid.org/0000-0002-8039-7970>, Azcona, David ORCID: 0000-0003-3693-7906 <https://orcid.org/0000-0003-3693-7906>, Hsiao, I-Han ORCID: 0000-0002-1888-3951 <https://orcid.org/0000-0002-1888-3951> and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (2018) Learning by reviewing paper-based programming assessments. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, 11082 . pp. 510-523.
Publisher(s): Springer Verlag
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/22956/1/Learning%20by%20Reviewing%20Paper-Based%20Programming%20Assessments.pdf,
https://doi.org/10.1007/978-3-319-98572-5_39
First Indexed: 2019-01-29 06:07:48 Last Updated: 2019-11-12 06:08:50