The DOI matches its Crossref record; 31 of the 36 references it cites were found in a registry or an index.
Training in Self-Explanation and Self-Regulation Strategies: Investigating the Effects of Knowledge Acquisition Activities on Problem Solving
Abstract
Previous research has found positive correlations between particular strategies students use while studying to explain instructional materials to themselves and student performance on associated problem-solving tasks (Chi, Bassok, Lewis, Reimann, & Glaser, 1989; Pirolli & Bielaczyc, 1989; Pirolli & Recker, 1994). In the study reported here, we investigate the causal nature of this relation. This was accomplished by identifying a set of self-explanation and self-regulation strategies used by high-performance students in our earlier studies. We used strategy training to manipulate students' application of these strategies and examined the impact of their use on student explanations and performance. Twenty-four university students with no prior programming experience worked through a sequence of programming lessons. Following introductory lessons, participants received interventions involving explicit training in the strategies (instructional group) or received a similar set of interventions but no explicit training (control group). The instructional group showed significantly greater gains than the control group in the use of self-explanation and self-regulation strategies from the pre- to postinterventions lessons. Increased strategy application was accompanied by significantly greater performance gains. The results indicate that the particular self-explanation and self-regulation strategies used in training contribute to learning and problem-solving performance.
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“Self-reflection on learning experiences is a critical metacognitive skill of the educational process [48], which offers substantial benefits for both knowledge retention and self-efficacy [5, 7, 14].”
From Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms (2024) · cites this paper as [7]
Citations
Cites
Axten, N., Newell, A., & Simon, H. A. (1973) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063712 · Cited by 6,886
Pearson, P. D., Barr, (. E., Kamil, M. L., Mosenthal, P. B., & Barr, R. (1991) · Choice Reviews Online · doi:10.5860/choice.28-5764 · Cited by 6,850
Anderson, J. R. (2013) · doi:10.4324/9781315799438 · Cited by 6,761
Newell, A. (1972) · Cited by 6,222
Protocol Analysis: Verbal Reports as Data
Danks, J. H., Ericsson, K. A., & Simon, H. A. (1985) · The American Journal of Psychology · doi:10.2307/1422516 · Cited by 4,452
Book Review: Protocol Analysis: Verbal Reports as Data
Venkatesan, M., Ericsson, K. A., & Simon, H. A. (1986) · Journal of Marketing Research · doi:10.2307/3151491 · Cited by 4,364
Knowing, Learning, and Instruction
(2018) · Routledge eBooks · doi:10.4324/9781315044408 · Cited by 1,824
Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems
Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989) · Cognitive Science · doi:10.1207/s15516709cog1302_1 · Cited by 1,714
Mechanisms of skill acquisition and the law of practice
Newell, A., & Rosenbloom, P. S. (2018) · Figshare · doi:10.1184/r1/6607196 · Cited by 1,501
Learning, Remembering, and Understanding
Reynolds, S. (2017) · Routledge eBooks · doi:10.4324/9781315211985-5 · Cited by 1,428
Research works printed but not linked: 7
- 10.1037//0033-295X.94.2.192 · DOI
- Baker, L. & Brown, A. L. (1984a). Cognitive monitoring in reading. In J. Flood (Ed.), Understanding reading comprehension (pp. 21-44). Newark, DE: International Reading Association.
- Brown, A. L. (1980). Metacognitive development and reading. In R. J. Spiro, B. Bruce, & W. Brewer (Eds.), Theoretical issues zn reading comprehension (pp. 453-481). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- Campione, J. C. & Brown, A. L. (1990). Guided learning and transfer: Implications for assessment. In N. Frederiksen, R. Glaser, A. Lesgold, & M. G. Shafto (Eds.), Diagnostic monitoring (pp. 141-172). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- Charney D., 1986, Memory and Cognition, 14, 78
- Ross B. H., 1980, Cognitive Psychology, 16, 371416
- Winston, P. H. & Horn, B. K. P. (1981). LISP. Reading, MA: Addison-Wesley.
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Hung, Y.-C. (2012) · IEEE Transactions on Education · doi:10.1109/te.2012.2196517 · Cited by 5
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Chasing Theory with Technology: A Quest to Understand Understanding
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Metadata
- Authors
- Bielaczyc, K., Pirolli, P. L., & Brown, A. L.
- Affiliations
- University of California, Berkeley (US)
- ORCID
- Pirolli, Peter L.
- Venue
- Cognition and Instruction
- Publisher
- Informa UK Limited
- Published
- 1995-06
- Volume
- 13
- Issue
- 2
- Pages
- 221-252
- ISSN
- 0737-0008 (ISSN-L)
- 1532-690X
- OpenAlex
- W2027525087
- Cited by
- 422
- References
- 36
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 6 · 2023: 3 · 2022: 16 · 2021: 9 · 2020: 21 · 2019: 11 · 2018: 5 · 2017: 15 · 2016: 13 · 2015: 19 · 2014: 19 · 2013: 17 · 2012: 22
- FWCI
- 15.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cognition and Instruction (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Keywords
- self-explanation, self-regulation strategies, strategy training, problem solving, knowledge acquisition, programming education, novice programmers
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