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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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.
Cited by
Sorted by citations
Items 301–400 of 422
Action Predictions Facilitate Embodied Geometric Reasoning
Xia, F., Nathan, M. J., Schenck, K. E., & Swart, M. I. (2025) · Cognitive Science · doi:10.1111/cogs.70055 · Cited by 6
Pädagogisch-Psychologische Problemlöseforschung als Problem – Barrieren überwinden
Kröner, S. (2014) · Zeitschrift für Pädagogische Psychologie · doi:10.1024/1010-0652/a000139 · Cited by 4
Portolés, J. J. S., López, V. S., & Ferragud, C. B. G. (2011) · Repository of Digital Objects for Teaching Research and Culture (University of Valencia) · Cited by 4
Rus, V., Brusilovsky, P. L., Tamang, L. J., Akhüseyinoğlu, K., & Fleming, S. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-09680-8_4 · Cited by 4
Student Modeling and Intelligent Tutoring Beyond Coached Problem Solving
Conati, C. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139049580.009 · Cited by 4
Creativity Education based on Participants' Reflective Thinking on their Creative Processes
Ishii, N., & Miwa, K. (2004) · Transactions of the Japanese Society for Artificial Intelligence · doi:10.1527/tjsai.19.126 · Cited by 4
Penggunaan teknik penyelesaian masalah dalam pembangunan aturcara komputer bagi pelajar pendidikan
Zaid, N. M., & Tasir, Z. (2007) · Cited by 4
Training Principle-Based Self-Explanations: Transfer to New Learning Contents
Renkl, A., Solymosi, J., Erdmann, M. A., & Aleven, V. A. W. M. M. (2013) · eScholarship (California Digital Library) · Cited by 4
Bergamin, P. B., Bettoni, M. C., Ziska, S., & Eggs, C. (2010) · IGI Global eBooks · doi:10.4018/978-1-61692-901-5.ch020 · Cited by 4
A Novel Approach to Define Performance Metrics for Students' and Teachers' Evaluation.
Biswas, P., & Ghosh, S. (2007) · The Electronic Journal of e-Learning · Cited by 4
The branching structure for individual learning skills differences in instructional hypermedia
Song, C. (2002) · Online Information Review · doi:10.1108/14684520210424539 · Cited by 4
Oktari, R. S., & Kumala, I. D. (2020) · Jurnal Pengabdian Kepada Masyarakat · doi:10.22146/jpkm.51558 · Cited by 7
Lee, T.-H., Shen, P., & Tsai, C. (2011) · IGI Global eBooks · doi:10.4018/978-1-61350-465-9.ch010 · Cited by 3
Upchurch, R. L., & Sims‐Knight, J. E. (2020) · IEEE Lasers and Electro-Optics Society Annual Meeting (LEOS) · doi:10.18260/1-2--9506 · Cited by 3
Prompted Self-Explanations Improve Learning in Statistics but Not Retention
Ryan, R. S., & Koppenhofer, J. A. (2022) · Teaching of Psychology · doi:10.1177/00986283221114196 · Cited by 3
The Effects of Combined Training of Web-Based Problem-Based Learning and Self-Regulated Learning
Tsai, C., Shen, P., & Lee, T.-H. (2011) · International Journal of Web-Based Learning and Teaching Technologies · doi:10.4018/jwltt.2011040103 · Cited by 3
An analysis of branching behaviour patterns in an interactive hypermedia learning environment
Song, C. (2003) · Online Information Review · doi:10.1108/14684520310481391 · Cited by 3
Designing Learning Environments for Creativity in Engineering Education
Ishii, N., Suzuki, Y., Fujiyoshi, H., Fujii, T., & Kozawa, M. (2006) · Cited by 3
EDUCACIÓN: EL CONSTRUCTIVISMO RADICAL Y LA PSICOLOGÍA COGNITIVA*
Anderson, J. R., Reder, L. M., & Simon, H. A. (2001) · Estudios Públicos · Cited by 3
Supporting Deep Learning in an Open-ended Domain
Weerasinge, A., & Mitrović, A. (2005) · Studies in fuzziness and soft computing · doi:10.1007/11364160_3 · Cited by 3
Training Students to Answer Layman’s Questions Also Helps in Retention of Scientific Content
Simmons, J. M., & Ritchie, R. P. (2016) · Medical Science Educator · doi:10.1007/s40670-016-0357-1 · Cited by 3
Explicitly Teaching Metacognitive and Self-Regulation Skills in Computing
Loksa, D. (2017) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3105726.3105740 · Cited by 3
Mora, G. (2019) · Journal of Geoscience Education · doi:10.1080/10899995.2018.1542475 · Cited by 3
USING SELF-EXPLANATION STRATEGY TO IMPROVE STUDENTS' UNDERSTANDING OF THE TO BE LEARNED MATERIAL
Tekeng, S. N. Y. (2015) · AULADUNA Jurnal Pendidikan Dasar Islam · Cited by 3
Self-regulated learning, classroom context, and achievement: a dual-method investigation
NELSON, J. A. (2014) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 3
Jung, J. H. (2011) · Texas ScholarWorks (Texas Digital Library) · Cited by 3
Fostering expert learning strategies in novices
de Bruin, A. B. H. (2006) · EUR Research Repository (Erasmus University Rotterdam) · Cited by 3
Development and Assessment of Self-explaining Skills in College Chemistry Instruction
Villalta‐Cerdas, A. (2014) · Digital Commons - University of South Florida (University of South Florida) · Cited by 3
E-Learning in Life Long EducationPreprint
Işık, C. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.1409027 · Cited by 3
Fiorella, L., & Mayer, R. E. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107707085.009 · Cited by 2
Automated Assessment of Student Self-explanation During Source Code Comprehension
Chapagain, J., Tamang, L. J., Banjade, R., Oli, P., & Rus, V. (2022) · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · doi:10.32473/flairs.v35i.130540 · Cited by 4
Dimensions in Designing Reflection Activities
Turns, J., Scalone, G., Arif, A., Lovins, T., & Atman, C. (2017) · World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) · doi:10.1109/weef.2017.8467101 · Cited by 2
Time-lapse Video as a Self-Reflection Tool for Collaborative Learning Projects
Rosenberg, L. B., & Petersen, G. J. (2008) · DigitalCommons - CalPoly (California State Polytechnic University) · Cited by 2
Progress in Assessment and Tutoring of Lifelong Learning Skills
Aleven, V. A. W. M. M., Roll, I., & Koedinger, K. R. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139049580.008 · Cited by 2
Study on the Relationship between Individual's CPFS Structure and Problem Inquiry Ability
Yu, P., & Li, M. (2008) · Cited by 2
Estimating Writing Neatness from Online Handwritten Data
Miura, M., & Toda, T. (2014) · Journal of Advanced Computational Intelligence and Intelligent Informatics · doi:10.20965/jaciii.2014.p0946 · Cited by 2
Clark, D. B., Killingsworth, S. S., Martinez-Garza, M. M., Eaton, G. V., Biswas, G., Kinnebrew, J. S., Sengupta, P., Krinks, K. D., Adams, D. M., Zhang, H., et al. (2013) · AIED Workshops · Cited by 2
Using a Lexical Analysis of Student's Self-Explanation to Predict Course Performance.
Rhodes, N. P., Ung, M. H., Zundel, A., Herold, J., & Stahovich, T. F. (2013) · Cited by 2
Metacognitive Awareness versus Linguistic Politeness: Expressions of Confusion in Tutorial Dialogues
Callaway, C. B., Campbell, G. E., Dzikovska, M. O., Fallow, E., Moore, J. D., & Steinhauser, N. B. (2009) · eScholarship (California Digital Library) · Cited by 2
Give Me a Fish or Teach Me to Fish?
Hewitt, A. (2012) · Alternative Law Journal · doi:10.1177/1037969x1203700409 · Cited by 2
Kaplan, G., & Aykut, Ç. (2021) · Ankara Üniversitesi Eğitim Bilimleri Fakültesi Özel Eğitim Dergisi · doi:10.21565/ozelegitimdergisi.715775 · Cited by 6
Tailored scaffolding for meta-cognitive skills during analogical problem solving
Muldner, K. (2011) · cIRcle (University of British Columbia) · doi:10.14288/1.0052048 · Cited by 2
Senior, I. A. A. (2021) · Research Square · doi:10.21203/rs.3.rs-935163/v1 · Cited by 2
Ord, C. (2014) · The University of Queensland · doi:10.14264/uql.2015.45 · Cited by 2
Hefter, M. H., Roelle, J., Renkl, A., & Berthold, K. (2022) · Research and Practice in Technology Enhanced Learning · doi:10.58459/rptel.2023.18008 · Cited by 1
Judgments of relevance in preschoolers: a study of training and transfer of self-cueing strategies
Leclercq, M., Mombo, W. T., & Clerc, J. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1341572 · Cited by 1
Adeeb, E., & Müldner, K. (2025) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3702652.3744207 · Cited by 1
Chen, P., Yang, D., Zhao, J., Yang, S., & Lavonen, J. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70116 · Cited by 1
Gaytan, J. A. (2006) · Computers in the Schools · doi:10.1300/j025v23n01_14 · Cited by 1
Multi-Level Support With Respect to Inquiry, Explanations and Regulation During an Inquiry Cycle
Wichmann, A. (2010) · DuEPublico (University of Duisburg-Essen) · Cited by 1
Estimating the Care with which Notes are Written from Online Handwritten Character Data
Motoki, M., Akase, S., & Toda, T. (2013) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-61499-262-2-195 · Cited by 1
Scaffolding Problem-Solving and Inquiry
Fund, Z. (2009) · IGI Global eBooks · doi:10.4018/978-1-60566-120-9.ch014 · Cited by 1
Self-Explanation Prompts in iFractions: The Effect on Students with Different Levels of Ability
Azizan, U. H., & Zain, N. Z. M. (2018) · Journals & Books Hosting (International Knowledge Sharing Platform) · Cited by 1
Sun, X. (2022) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.220131.190 · Cited by 1
Shen, P. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-150-8.ch006 · Cited by 1
Development of Self-Explanation Prompt in i-Fractions
(2019) · International Journal of Recent Technology and Engineering (IJRTE) · doi:10.35940/ijrte.b1071.0782s219 · Cited by 1
Brame, C. J. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814702-3.00006-8 · Cited by 2
Chapagain, J., Risha, Z., Banjade, R., Oli, P., Tamang, L. J., Brusilovsky, P. L., & Rus, V. (2023) · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · doi:10.32473/flairs.36.133385 · Cited by 1
Examining the generality of self-explanation
Koedinger, K. R., Mitamura, T., & Wylie, R. (2011) · ProQuest LLC eBooks · Cited by 1
Huang, X. (2007) · Cited by 1
Video instruction with explanation to another person for intellectually disabled students
Blik, H., Harskamp, E. G., van Leeuwen, S., & Hoekstra, R. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12204 · Cited by 1
Mouromadhoni, K. R., Prasetyo, Z. K., & Atun, S. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1233/1/012092 · Cited by 1
Alonso, A. C., & Portolés, J. J. S. (2014) · ESPIRAL CUADERNOS DEL PROFESORADO · doi:10.25115/ecp.v7i13.960 · Cited by 1
Mathematisches Problemlösen in der Studieneingangsphase
Stenzel, T. (2022) · Essener Beiträge zur Mathematikdidaktik/Essener Beiträge zur Mathematikdidaktik · doi:10.1007/978-3-658-39052-5 · Cited by 2
González, J. (2012) · Syracuse University Libraries (Syracuse University) · Cited by 1
der Zalm, V., & Roisin, A. (2010) · Cited by 1
Development and formative evaluation of an instructional simulation of adiabatic processes
Hsu, Y. (1997) · doi:10.31274/rtd-180813-13270 · Cited by 1
Reflection Prompts to Facilitate Students' Thinking about Teaching in Teachable Agent Environment
Wu, L., & Looi, C. (2007) · International Conference on Computers in Education · Cited by 1
Problem-centred inquiry in collaborative science learning
Chan, C. K. K. (1996) · The HKU Scholars Hub (University of Hong Kong) · doi:10.11225/jcss.3.4_44 · Cited by 1
Saito, H., & Miwa, K. (2004) · Transactions of the Japanese Society for Artificial Intelligence · doi:10.1527/tjsai.19.214 · Cited by 1
A model for designing instructional narratives for adult learners: Connecting the dots
Smith, D. M. (2013) · Human Biology · Cited by 1
Learning by explaining: the effects of software agents as learning partners
Holmes, J. (2003) · Cited by 1
Senior, I. A. A. (2021) · Research Square · doi:10.21203/rs.3.rs-935163/v2 · Cited by 1
Design Rationale Within Tels Projects to Support Knowledge Integration
Clark, D. B., Varma, K., McElhaney, K. W., & Chiu, J. L. (2008) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-60752-942-220251008 · Cited by 1
Liu, J. (2013) · Purdue e-Pubs (Purdue University System)
An Algebra Unit on Quadratics for Teachers with Students with EBD
Williams, C. (2014) · SUNY Digital Repository Support (State University of New York System)
La interacción entre función y modalidad del lenguaje. Consecuencias teóricas y prácticas
Rodicio, H. G. (2009) · Gredos (University of Salamanca) · doi:10.14201/gredos.22537
Self-explaining from video recordings as a methodology for learning programming
Aureliano, V. C. O. (2014) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/2632320.2632321
Investigation and Application of Cognitive Processes of Information Seeking on the Web
Saito, H. (2006) · Joho Chishiki Gakkaishi · doi:10.2964/jsik.16.4_51
Las nuevas tecnologías de la información y la educación científica temprana. Una revisión
Morales, Ó. O. (2005) · Pensamiento Psicológico · doi:10.11144/27
Aprendendo linguagem de programação através da auto-explicação de exemplos em vídeo
Aureliano, V. C. O., & Tedesco, P. C. D. A. R. (2015) · Anais ... Workshops do Congresso Brasileiro de Informática na Educação · doi:10.5753/cbie.wcbie.2015.1359
Lam, D. P. (2015) · eScholarship (California Digital Library)
Richey, J. E. (2015) · D-Scholarship@Pitt (University of Pittsburgh)
Designing a Learning Environment for Geotechnics
Pantazidou, M. (2000) · doi:10.1061/40522(297)8
Adaptive support for coaching meta-cognitive skills
Conati, C. (2000)
Fonseca, L. E., Pujals, M., Lasala, E., Lagomarsino, I., Aldrey, A., Buonsanti, L., & Barreyro, J. P. (2014)
- Motivation, anxiety, and fatigue
Czaja, S. J., & Sharit, J. (2012) · CRC Press eBooks · doi:10.1201/b13018-9
Turns, S. R., & Meter, P. N. V. (2011)
Thomann, L. O. (2016) · Trinity College Digital Repository (Trinity College, Hartford CT)
Lee, N. (2017) · IAFOR Journal of Education · doi:10.22492/ije.5.si.03
Examining Curricular Integration Strategies To Optimize Learning Of The Anatomical Sciences
Lisk, K. (2016) · TSpace (University of Toronto)
Cernusca, D., Ionas, I. G., & Collier, H. L. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--5519
Enhancing learning-by-teaching with diagrammatic representations and reflection prompts
Looi, C., Wu, L., & Tong, W. (2007) · NIE Digital Repository (National Institute of Education, Nanyang Technological University)
Delineating and Developing Expertise in Three-Dimensional Computer Aided Design
Chester, I. R. (2006) · Griffith Research Online · doi:10.25904/1912/1648
Early mathematical learning : easy as 1, 2, 3?
Cahoon, A. (2019) · Ulster University Research Portal (Ulster University)
Vexique: Vocabulary enhancement software for French immersion students
Woloshen, S. (2021) · Summit (Simon Fraser University)
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review