Effects of self-regulated learning in programming

Vive Kumar, Phil Winne, Allyson Hadwin, John Nesbit, Dianne Jamieson-Noel, Tom Calvert, Behzad Samin

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

22 Citations (Scopus)

Abstract

Effects of Self-Regulated Learning (SRL) have been investigated in a variety of contexts. In this research, we explore advanced learning technologies based on the Information Processing model of SRL in the context of structured programming. We conducted an experiment to study ways to enhance the use of programmers' working memory, to develop tactics to carry out task level activities during programming, and to learn how to program more effectively. The results of the experiment indicate that programmers who received SRL-based treatment outperformed programmers who did not receive the treatment. We argue that the infusion of SRL-based technological interfaces would have a positive influence on the performances in programming.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Pages383-387
Number of pages5
DOIs
Publication statusPublished - 2005
Event5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan, Province of China
Duration: 5 Jul. 20058 Jul. 2005

Publication series

NameProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Volume2005

Conference

Conference5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period5/07/058/07/05

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