The DOI matches its Crossref record; 94 of the 102 references it cites were found in a registry or an index.
Motivation and social cognitive theory
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“The resultant vicious cycle triggers chronic cognitive overload and gradually erodes the instructional benefits of project-based learning (Schunk and DiBenedetto, 2020).”
From Can project-based learning improve students’ mathematics learning outcomes: a three-level meta-analysis (2026) · cites this paper as Schunk and DiBenedetto, 2020
In the citing paper
“Within a condensed timeline, students gain periodic mastery experiences and sustain active inquiry through self-regulation; proactive behaviors improve environmental conditions, which further reinforce learning engagement and produce robust learning outcomes (Schunk, 2012; Schunk and DiBenedetto, 2020).”
From Can project-based learning improve students’ mathematics learning outcomes: a three-level meta-analysis (2026) · cites this paper as Schunk and DiBenedetto, 2020
In the citing paper
“An appraisal of values and expectancies leads to the decision to engage (Cleary & Zimmerman, 2012;Kuhl, 1984;Schunk & DiBenedetto, 2020).”
From Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda (2022) · cites this paper as Schunk & DiBenedetto, 2020
In the citing paper
“Recent accounts of motivation are situated ones, which also call attention to finegrained, moment-to-moment fluctuations that occur during learning engagement (Schunk & DiBenedetto, 2020).”
From Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda (2022) · cites this paper as Schunk & DiBenedetto, 2020
In the citing paper
“This article will be included because it provides insight into a well known social psychological model and also features some discussion regarding diversity of culture which could be valuable for the development of the model.”
From The Ergonomics of Learning: A Proposed Update to Bloom’s Taxonomy (2025) · cites this paper as Schunk, D. H., & DiBenedetto, M. K. (2020)
Citations
Cites
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Research works printed but not linked: 2
- DiBenedetto, 2010, Differences in self-regulatory processes among students studying science: A microanalytic investigation, The International Journal of Educational and Psychological Assessment, 5, 2
- Pape, S. J., Bell, V. Cl, & Yetkin-Ozdemir, I. (2013). Sequencing components of mathematics lessons to maximize development of self-regulation: Theory, practice, and intervention. In H. Bembenutty, T. J. Cleary, & A. Kitsantas (Eds.), Applications of self-regulated leaning across diverse disciplines: A tribute to Barry J. Zimmerman (pp. 29–58). Charlotte, NC: Information Age Publishing.
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Metadata
- Authors
- Schunk, D. H., & DiBenedetto, M. K.
- Affiliations
- University of North Carolina at Greensboro (US)
- Corresponding author
- Schunk, Dale H.
- Venue
- Contemporary Educational Psychology
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 60
- Pages
- 101832
- ISSN
- 0361-476X (ISSN-L)
- OpenAlex
- W2995918197
- Cited by
- 2,416
- References
- 102
- Citations by year
- 2026: 875 · 2025: 568 · 2024: 330 · 2023: 331 · 2022: 181 · 2021: 91 · 2020: 40
- FWCI
- 124.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Contemporary Educational Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
- Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- motivation, social cognitive theory, Bandura, reciprocal determinism, self-efficacy, self-regulation, outcome expectations, attribution, social comparison, values, goal-directed behavior, agency, cultural diversity, intervention effects
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 ›
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