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Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05)
Effects of Self-Regulated Learning In Programming
Kaohsiung, Taiwan
July 05-July 08
ISBN: 0-7695-2338-2
ASCII Text
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Vive Kumar, Phil Winne, Allyson Hadwin, John Nesbit, Dianne Jamieson-Noel, Tom Calvert, Behzad Samin, "Effects of Self-Regulated Learning In Programming," Advanced Learning Technologies, IEEE International Conference on, pp. 383-387, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICALT.2005.131,
author = {Vive Kumar and Phil Winne and Allyson Hadwin and John Nesbit and Dianne Jamieson-Noel and Tom Calvert and Behzad Samin},
title = {Effects of Self-Regulated Learning In Programming},
journal ={Advanced Learning Technologies, IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2338-2},
pages = {383-387},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2005.131},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Advanced Learning Technologies, IEEE International Conference on
TI - Effects of Self-Regulated Learning In Programming
SN - 0-7695-2338-2
SP383
EP387
A1 - Vive Kumar,
A1 - Phil Winne,
A1 - Allyson Hadwin,
A1 - John Nesbit,
A1 - Dianne Jamieson-Noel,
A1 - Tom Calvert,
A1 - Behzad Samin,
PY - 2005
KW - null
VL - 0
JA - Advanced Learning Technologies, IEEE International Conference on
ER -
 
Vive Kumar, Simon Fraser University
Phil Winne, Simon Fraser University
Allyson Hadwin, University of Victoria
John Nesbit, Simon Fraser University
Dianne Jamieson-Noel, Simon Fraser University
Tom Calvert, Simon Fraser University
Behzad Samin, Simon Fraser University
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.
Citation:
Vive Kumar, Phil Winne, Allyson Hadwin, John Nesbit, Dianne Jamieson-Noel, Tom Calvert, Behzad Samin, "Effects of Self-Regulated Learning In Programming," icalt, pp.383-387, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005
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