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The effect of distributed monitoring exercises and feedback on performance, monitoring accuracy, and self-efficacy
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“However, studies show that metacognitive monitoring, and subsequent academic achievement, can be improved through interventions (Nietfeld et al., 2006;Wagener, 2016).”
From The Potential of Exam Wrappers in Higher Education Assessment Practice: Fostering Self-Efficacy Through Guided Self-Reflection (2025) · cites this paper as Nietfeld et al., 2006
Citations
Cites
Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
Self-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,451
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
Motivational and self-regulated learning components of classroom academic performance.
Pintrich, P. R., & De Groot, E. V. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.1.33 · Cited by 8,332
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Henry, N. W., Cohen, J., & Cohen, P. R. (1977) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2064799 · Cited by 7,242
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
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Tufte, E. R., Cohen, J., & Cohen, P. (1979) · Journal of the American Statistical Association · doi:10.2307/2286442 · Cited by 5,214
Self-Efficacy Beliefs in Academic Settings
Pajares, F. (1996) · Review of Educational Research · doi:10.2307/1170653 · Cited by 4,688
Feedback and Self-Regulated Learning: A Theoretical Synthesis
Butler, D. L., & Winne, P. H. (1995) · Review of Educational Research · doi:10.3102/00346543065003245 · Cited by 3,334
(2014) · doi:10.4324/9781315799681 · Cited by 2,174
Research works printed but not linked: 1
- Raven, J. C. (1962). Advanced progressive matrices, set II. London: H.K. Lewis (Distributed in the United States by the Psychological Corporation, San Antonio, Texas).
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Within and between person associations of calibration and achievement
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Gutierrez, A. P., & Londoño, D. M. M. (2021) · Revista Colombiana de Psicología · doi:10.15446/rcp.v30n1.88146 · Cited by 33
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Wagener, B. (2013) · Educational Psychology · doi:10.1080/01443410.2013.785051 · Cited by 22
Reflection on exam grades to improve calibration of secondary school students: a longitudinal study
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Metadata
- Authors
- Nietfeld, J. L., Cao, L., & Osborne, J. W.
- Affiliations
- North Carolina State University (US)
- University of West Georgia (US)
- Corresponding author
- Nietfeld, John L.
- Venue
- Metacognition and Learning
- Published
- 2006-08
- Volume
- 1
- Issue
- 2
- Pages
- 159-179
- ISSN
- 1556-1623 (ISSN-L)
- 1556-1631
- OpenAlex
- W2159790293
- Cited by
- 260
- References
- 78
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 14 · 2023: 23 · 2022: 14 · 2021: 20 · 2020: 18 · 2019: 21 · 2018: 14 · 2017: 19 · 2016: 14 · 2015: 11 · 2014: 19 · 2013: 8 · 2012: 11
- FWCI
- 5.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Metacognition and Learning (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Keywords
- distributed monitoring, metacognitive monitoring, metacognitive calibration, self-efficacy, student self-regulation, metacognitive feedback, test performance
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