Exploring the Association between Self-Regulation of Learning and Programming Learning: A Multinational Investigation

Leonardo Silva, Antonio Mendes, Anabela Gomes, Gabriel Fortes, Chan Tong Lam, Calana Chan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This Research Full Paper presents a collection of evidences about the association between self-regulation variables and programming learning. Researchers have been investigating this thematic and despite the apparent benefits, it is necessary to summarize the published evidence and provide a new collection of them, which this study seeks to contribute. An observational investigation was performed in two countries with fifty-nine students, who had their SRL and programming learning metrics collected and correlated. Moreover, a systematic literature review was also conducted, and the existing evidence summarized. The results support an association between metacognitive and motivational regulatory strategies with programming learning but do not support for cognitive strategies. Our analysis shows a need for more studies to provide a solid body of knowledge on this thematic.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665438513
DOIs
Publication statusPublished - 2021
Event2021 IEEE Frontiers in Education Conference, FIE 2021 - Lincoln, United States
Duration: 13 Oct 202116 Oct 2021

Publication series

NameProceedings - Frontiers in Education Conference, FIE
Volume2021-October
ISSN (Print)1539-4565

Conference

Conference2021 IEEE Frontiers in Education Conference, FIE 2021
Country/TerritoryUnited States
CityLincoln
Period13/10/2116/10/21

Keywords

  • programming education
  • programming learning
  • self-regulated learning

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