The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Direct instruction of metacognition benefits adolescent science learning, transfer, and motivation: An in vivo study.
Open accessAbstract
Prior studies have not tested whether an instructional intervention aimed at improving metacognitive skills results in changes to student metacognition, motivation, learning, and future learning in the classroom. We examined whether a 6-hr intervention designed to teach the declarative and procedural components of planning, monitoring, and evaluation could increase students ’ metacognition, motivation, learning, and preparation for future learning for middle school science. Forty-six eighth-grade students were randomly assigned to either a control group, which received extensive problem-solving practice, or an experimental group, which received more limited problem-solving practice along with metacognitive instruction and training. Results revealed that those who received the metacognitive instruction and training were less biased when making metacognitive judgments, p .03, d 0.65, endorsed higher levels of motivation after instruction (e.g., there was a large effect on task value, p .006, d 0.87), performed better on a conceptual physics test, p .03, d 0.64, and performed better on a novel self-guided learning activity, p .007, d 0.87. This study demonstrates that metacognitive instruction can lead to better self-regulated learning outcomes during adolescence, a period in which students’ academic achievement and motivation often decline.
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“Therefore, metacognitive skills are positively related to learning performance and achievement (e.g., Veenman et al. 2005) or motivation (e.g., Zepeda et al. 2015).”
From Transfer of metacognitive skills in self-regulated learning: an experimental training study (2020) · cites this paper as Zepeda et al. 2015
Citations
Cites
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
A social-cognitive approach to motivation and personality.
Dweck, C. S., & Leggett, E. L. (1988) · Psychological Review · doi:10.1037/0033-295x.95.2.256 · Cited by 9,745
(1999) · Cited by 6,308
Zimmerman, B. J. (2000) · Handbook of Self-Regulation · doi:10.1016/b978-012109890-2/50031-7 · Cited by 6,069
Beaton, A. E., & Keppel, G. (1975) · American Educational Research Journal · doi:10.2307/1162588 · Cited by 5,857
Reciprocal Teaching of Comprehension-Fostering and Comprehension-Monitoring Activities
Palinscar, A. S., & Brown, A. L. (1984) · Cognition and Instruction · doi:10.1207/s1532690xci0102_1 · Cited by 5,186
The Role of Goal Orientation in Self-Regulated Learning
Pintrich, P. R. (2000) · Handbook of Self-Regulation · doi:10.1016/b978-012109890-2/50043-3 · Cited by 5,173
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007) · Child Development · doi:10.1111/j.1467-8624.2007.00995.x · Cited by 3,784
Pintrich, P. R. (2003) · Journal of Educational Psychology · doi:10.1037/0022-0663.95.4.667 · Cited by 3,459
(1991) · Cited by 3,259
Hestenes, D., Wells, M., & Swackhamer, G. (1992) · The Physics Teacher · doi:10.1119/1.2343497 · Cited by 3,235
Assessing Metacognitive Awareness
Schraw, G., & Dennison, R. S. (1994) · Contemporary Educational Psychology · doi:10.1006/ceps.1994.1033 · Cited by 3,199
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013) · Psychological Science in the Public Interest · doi:10.1177/1529100612453266 · Cited by 3,138
Schema induction and analogical transfer
Gick, M. L., & Holyoak, K. J. (1983) · Cognitive Psychology · doi:10.1016/0010-0285(83)90002-6 · Cited by 3,010 · cited 1×
“This approach is consistent with research on analogy and worked examples that has shown that solving problems with the same underlying structure in multiple problem contexts can increase the likelihood of abstraction and transfer (Alfieri, NokesMalach, & Schunn, 2013; Gick & Holyoak, 1983).”
ResultCacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.197 · Cited by 2,517 · cited 9×
“Motivation Self-Efficacy, Task Value, Achievement Goals, Need for Cognition, Effort Regulation, Control of Learning Beliefs, Theories of Intelligence H3.”
BackgroundMethodInfluentialWhen and where do we apply what we learn?: A taxonomy for far transfer
Barnett, S. M., & Ceci, S. J. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.4.612 · Cited by 2,076 · cited 3×
“Domain-relevant instruction should support transfer to the degree that the knowledge acquired is abstract and applicable to new problems or questions (Barnett & Ceci, 2002).”
BackgroundMethodInfluentialThe role of motivation in promoting and sustaining self-regulated learning
Pintrich, P. R. (1999) · International Journal of Educational Research · doi:10.1016/s0883-0355(99)00015-4 · Cited by 1,987
Jacobs, J. E., Lanza, S. T., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002) · Child Development · doi:10.1111/1467-8624.00421 · Cited by 1,800
Self-regulation in the classroom: a perspective on assessment and intervention.
Boekaerts, M., & Corno, L. (2005) · Applied Psychology · doi:10.1111/j.1464-0597.2005.00205.x · Cited by 1,479
Students' goal orientations and cognitive engagement in classroom activities.
Meece, J. L., Blumenfeld, P. C., & Hoyle, R. H. (1988) · Journal of Educational Psychology · doi:10.1037/0022-0663.80.4.514 · Cited by 1,367
On the measurement of achievement goals: Critique, illustration, and application.
Elliot, A. J., & Murayama, K. (2008) · Journal of Educational Psychology · doi:10.1037/0022-0663.100.3.613 · Cited by 1,281
Efklides, A. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.538645 · Cited by 1,211
Theories of Self-Regulated Learning and Academic Achievement: An Overview and Analysis
Zimmerman, B. J. (2013) · doi:10.4324/9781410601032-5 · Cited by 1,139
Effects of learning skills interventions on student learning: a meta-analysis.
Hattie, J., Biggs, J., & Purdie, N. (1996) · Review of Educational Research · doi:10.3102/00346543066002099 · Cited by 1,106
Good, C., Aronson, J., & Inzlicht, M. (2003) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2003.09.002 · Cited by 1,096
Dignath, C., & Büttner, G. (2008) · Metacognition and Learning · doi:10.1007/s11409-008-9029-x · Cited by 1,085 · cited 1×
“Meta-analyses of metacognitive interventions (Dignath & Büttner, 2008; Dignath, Buettner, & Langfeldt, 2008; Hattie, Biggs, & Purdie, 1996) were particularly helpful in guiding our design and implementation of the intervention, including the decision to provide instruction on all three skills along…”
BackgroundConstruct validation of a strategy model of student self-regulated learning.
Zimmerman, B. J., & Martinez-Pons, M. (1988) · Journal of Educational Psychology · doi:10.1037/0022-0663.80.3.284 · Cited by 1,064
How can primary school students learn self-regulated learning strategies most effectively?
Dignath, C., Buettner, G., & Langfeldt, H.-P. (2008) · Educational Research Review · doi:10.1016/j.edurev.2008.02.003 · Cited by 903
Harackiewicz, J. M., Barron, K. E., Tauer, J. M., Carter, S. M., & Elliot, A. J. (2000) · Journal of Educational Psychology · doi:10.1037/0022-0663.92.2.316 · Cited by 892
Chapter 3: Rethinking Transfer: A Simple Proposal With Multiple Implications
BRANSFORD, J. D., & SCHWARTZ, D. L. (1999) · Review of Research in Education · doi:10.3102/0091732x024001061 · Cited by 881
Ford, J. K., Smith, E. M., Weissbein, D. A., Gully, S. M., & Eduardo Salas, A. (1998) · Journal of Applied Psychology · doi:10.1037/0021-9010.83.2.218 · Cited by 784
All Other Things Being Equal: Acquisition and Transfer of the Control of Variables Strategy
Chen, Z., & Klahr, D. (1999) · Child Development · doi:10.1111/1467-8624.00081 · Cited by 736
Inherent details in self-regulated learning.
Winne, P. H. (1995) · Educational Psychologist · doi:10.1207/s15326985ep3004_2 · Cited by 729
Measures of Effect Size for Comparative Studies: Applications, Interpretations, and Limitations
Olejnik, S. F., & Algina, J. J. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.2000.1040 · Cited by 703
Reasons for Studying: Motivational Orientations and Study Strategies
Nolen, S. B. (1988) · Cognition and Instruction · doi:10.1207/s1532690xci0504_2 · Cited by 670
Wolters, C. A., & Pintrich, P. R. (1998) · Instructional Science · doi:10.1023/a:1003035929216 · Cited by 564
A conceptual analysis of five measures of metacognitive monitoring
Schraw, G. J. (2008) · Metacognition and Learning · doi:10.1007/s11409-008-9031-3 · Cited by 549
Developmental and instructional analyses of children's metacognition and reading comprehension.
Cross, D., & Paris, S. G. (1988) · Journal of Educational Psychology · doi:10.1037/0022-0663.80.2.131 · Cited by 497
Motivational Sources and Outcomes of Self-Regulated Learning and Performance
Zimmerman, B. J. (2015) · Routledge eBooks · doi:10.4324/9780203839010.ch4 · Cited by 468
Motivating Self-Regulated Problem Solvers
Zimmerman, B. J., & Campillo, M. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511615771.009 · Cited by 445
The relation between intellectual and metacognitive skills from a developmental perspective
Veenman, M. V. J., Wilhelm, P., & Beishuizen, J. J. (2004) · Learning and Instruction · doi:10.1016/j.learninstruc.2003.10.004 · Cited by 430
The development of metacognitive ability in adolescence
Weil, L. G., Fleming, S. M., Dumontheil, I., Kilford, E. J., Weil, R. S., Rees, G., Dolan, R. J., & Blakemore, S.-J. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2013.01.004 · Cited by 429
Learning Through Case Comparisons: A Meta-Analytic Review
Alfieri, L., Nokes‐Malach, T. J., & Schunn, C. D. (2013) · Educational Psychologist · doi:10.1080/00461520.2013.775712 · Cited by 360
Self-citationMotivational role of self-efficacy beliefs in self-regulated learning.
Pajares, F. (2008) · Cited by 315
Self-Theories: Their Role in Motivation, Personality, and Development. Essays in Social Psychology.
Dweck, C. S. (2000) · Cited by 285
Metacognition and problem solving: A process-oriented approach.
Berardi-Coletta, B., Buyer, L. S., Dominowski, R. L., & Rellinger, E. (1995) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.21.1.205 · Cited by 260
Individual differences in metacognition: Evidence against a general metacognitive ability
Kelemen, W. L., Frost, P. J., & Weaver, C. A. (2000) · Memory & Cognition · doi:10.3758/bf03211579 · Cited by 252
Individual Differences in Absolute and Relative Metacomprehension Accuracy.
Maki, R. H., Shields, M., Wheeler, A. E., & Zacchilli, T. L. (2005) · Journal of Educational Psychology · doi:10.1037/0022-0663.97.4.723 · Cited by 207
The generality vs domain-specificity of metacognitive skills in novice learning across domains
Veenman, M. V. J., Elshout, J. J., & Meijer, J. M. (1997) · Learning and Instruction · doi:10.1016/s0959-4752(96)00025-4 · Cited by 190
Does a general monitoring skill exist?
Schraw, G. J., Dunkle, M. E., Bendixen, L. D., & Roedel, T. D. (1995) · Journal of Educational Psychology · doi:10.1037/0022-0663.87.3.433 · Cited by 165
Corrigenda: Measures of Association for Cross Classifications
Goodman, L. A., & Kruskal, W. (1957) · Journal of the American Statistical Association · doi:10.2307/2281708 · Cited by 163
Teachers’ metacognitive knowledge and the instruction of higher order thinking
Zohar, A. E. (1999) · Teaching and Teacher Education · doi:10.1016/s0742-051x(98)00063-8 · Cited by 159
Mechanisms of knowledge transfer
Nokes, T. J. (2008) · Thinking & Reasoning · doi:10.1080/13546780802490186 · Cited by 156
Relationship Between Achievement Goal Orientations and Use of Learning Strategies
Somuncuoğlu, Y., & Yıldırım, A. (1999) · The Journal of Educational Research · doi:10.1080/00220679909597606 · Cited by 136
Toward a Model of Transfer as Sense-Making
Nokes‐Malach, T. J., & Mestre, J. P. (2013) · Educational Psychologist · doi:10.1080/00461520.2013.807556 · Cited by 115
Self-citationMeasure for measure: Calibrating ten commonly used calibration scores
Schraw, G. J., Kuch, F., & Gutierrez, A. P. (2012) · Learning and Instruction · doi:10.1016/j.learninstruc.2012.08.007 · Cited by 105
Veenman, M. V. J., & Verheij, J. (2003) · Learning and Individual Differences · doi:10.1016/s1041-6080(02)00094-8 · Cited by 104
A further test of the general monitoring skill hypothesis.
Schraw, G. J., & Nietfeld, J. L. (1998) · Journal of Educational Psychology · doi:10.1037//0022-0663.90.2.236 · Cited by 94
Appropriating scientific practices and discourses with future elementary teachers
Smith, D. C., & Anderson, C. (1999) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199909)36:7 · Cited by 68
The Relationship between the Need for Cognition, Metacognition, and Intellectual Task Performance.
Coutinho, S. A. (2006) · Educational Research Review · doi:10.5897/err.9000373 · Cited by 67
Comparing Multiple Paths to Mastery: What is Learned?
Nokes, T. J., & Ohlsson, S. (2005) · Cognitive Science · doi:10.1207/s15516709cog0000_32 · Cited by 48
Brand, S., Reimer, T. O., & Opwis, K. (2003) · Swiss Journal of Psychology · doi:10.1024/1421-0185.62.4.251 · Cited by 23
Investigating the mechanisms of learning from a constrained preparation for future learning activity
Siler, S. A., Klahr, D., & Price, N. (2012) · Instructional Science · doi:10.1007/s11251-012-9224-7 · Cited by 17
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“8 of 15 Research has shown self-assessment can positively impact learning outcomes, motivation, and metacognitive skills [63–65].”
BackgroundOhtani, K., & HISASAKA, T. (2018) · Metacognition and Learning · doi:10.1007/s11409-018-9183-8 · Cited by 404
de Boer, H., Donker, A. S., Kostons, D. D. N. M., & van der Werf, G. P. C. (2018) · Educational Research Review · doi:10.1016/j.edurev.2018.03.002 · Cited by 210
Assessing teachers' metacognition in teaching: The Teacher Metacognition Inventory
Jiang, Y., Ma, L., & Gao, L. (2016) · Teaching and Teacher Education · doi:10.1016/j.tate.2016.07.014 · Cited by 159
Hofer, S. I., Schumacher, R., Rubin, H., & Stern, E. (2018) · Journal of Educational Psychology · doi:10.1037/edu0000266 · Cited by 122
Metadata
- Authors
- Zepeda, C. D., Richey, J. E., Ronevich, P., & Nokes-Malach, T. J.
- Affiliations
- University of Pittsburgh (US)
- Venue
- Journal of Educational Psychology
- Published
- 2015-11
- Volume
- 107
- Issue
- 4
- Pages
- 954-970
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- OpenAlex
- W2015584585
- Cited by
- 167
- References
- 63
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 17 · 2023: 24 · 2022: 20 · 2021: 7 · 2020: 22 · 2019: 19 · 2018: 12 · 2017: 5 · 2016: 7 · 2015: 2
- FWCI
- 21.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Educational Psychology (publishedVersion, other-oa)
- Funders
- National Science Foundation (SBE 0836012)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- metacognition instruction, student self-regulation, junior high school science, student motivation, transfer of learning, self-directed learning, physics learning, problem-solving practice, planning, monitoring and evaluation
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