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The Assessment of Self-Regulated
Learning: Where We Are Today
Centre for Information Technology in Education
Qiang Hao, Research Assistant
Faculty of Education, The University of Hong Kong
Dr. Jingyan Lu, Assistant Professor
Faculty of Education, The University of Hong Kong

• What is Self-Regulated Learning (SRL)?
Purpose

Purpose
Learning task
selection

Purpose
Learning task
selection
Python

Purpose

Purpose
1. Read it first.
2. Read and code at
the same time.
3. Read, code, and
apply solution to
real life problems…

Purpose
1. Read it first.
2. Read and code at
the same time.
3. Read, code, and
apply solution to
real life problems…
Learning strategy adoption

Purpose
1. Make Schedule
2. No sleep at the wrong time
3. No game playing at the wrong time
4. Finish all the listed learning tasks…

Purpose
1. Make Schedule
2. No sleep at the wrong time
3. No game playing at the wrong time
4. Finish all the listed learning tasks…
Self-Control

Purpose
Learning task selection
Self-Control

Purpose
Self-Control
Self-evaluation
Self-reflection

Purpose
Self-Control
Self-evaluation
Self-reflection
Assessment

Purpose
• The study aims at a systematic review of the
development of technology-supported assessment
of SRL.

Purpose
• The study aims at a systematic review of the
development of technology-supported assessment
of SRL.
• Widely-used methodologies
• Innovative methodologies

Widely-used methodologies

• Self-report surveys
1. Motivated Strategies for Learning
Questionnaire (Pintrich, Smith, Garcia, &
McKeachie, 1993)
2. Self-Regulated Learning Interview Scale (
Zimmerman & Martinez-Pons, 1989)
3. Microanalytic Methodology (Kitsantas &
Zimmerman, 2002)

McKeachie, 1993)

McKeachie, 1993)
Motivation Learning Strategy

McKeachie, 1993)
Motivation Learning Strategy
Scale: from “not at all” to “very true of me”

McKeachie, 1993)

McKeachie, 1993)
Problem-solving context

Zimmerman, 2002)

Zimmerman, 2002)
Forethought
Performance
Self-reflection

Innovative methodologies

1. Trace Measure (Winne, Nesbit, Kumar, Hadwin,
Lajoie, Azevedo, 2006)
2. Model Tracing (Aleven et al., 2010)
3. Computerization of self-evaluation measure
(Hudesman, Carson, Flugman, Clay, & Isaac,
2011)

Take notes
Text highlighting
Information searching
Communication with others

Human action Model

Human action Model
Help seeking

2011)

2011)
Mandatory Report
Comparison with actual performance

Reference
Aleven, V., Roll, I., McLaren, B. M., Koedinger, K. R. (2010). Automated, Unobtrusive,
Action-by-Action Assessment of Self-Regulation during Learning with an Intelligent
Tutoring System. Educational Psychologist, 45(4), 224-233.
Hudesman, J., Carson, M., Flugman, B., Clay, D. & Isaac, S. (2011). The Computerization
of the Self-Regulated Learning Assessment System: A Demonstration Program in
Developmental Mathematics. Retrieved from Internet: The 9th International
Conference on Education and Information Systems, Technologies and
Applications:
www.iiis.org/CDs2011/CD2011SCI/EISTA_2011/PapersPdf/EA659WG.pdf
Kitsantas, A., & Zimmerman, B. J. (2002). Comparing self-regulatory processes among
novice, non-expert, and expert volleyball players: A microanalytic study. Journal
of Applied Sport Psychology, 14, 91–105.
Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and
predictive validity of the motivated strategies for learning questionnaire (MLSQ).
Educational and Psychological Measurement, 53, 801–813.
Winne, P. H., Nesbit, J. C., Kumar, V., Hadwin, A. F., Lajoie, S. P., Azevedo, R., et al.
(2006). Supporting self-regulated learning with gStudy software: The learning kit
project. Technology, Instruction, Cognition and Learning, 3, 105–113.
Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning.
Journal of Educational Psychology, 81, 329–339.

Thanks for your
attention!
Qiang Hao: neohao@hku.hk

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