Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety?
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Artificial Intelligence for Academic Purposes (AIAP): Integrating AI literacy into an EAP module
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“Although little speci fi c literature about student con fi dence in utilising AI for educational purposes exists, con fi dence itself reliably predicts achievement across different knowledge domains and subjects (Kleitman & Stankov, 2007; Stankov et al., 2012).”
Heuristic Cues for Meta-Reasoning Judgments: Review and Methodology
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- Authors
- Stankov, L., Lee, J., Luo, W., & Hogan, D. J.
- Affiliations
- Western Sydney University (AU)
- National Institute of Education (SG)
- Corresponding author
- Stankov, Lazar
- Venue
- Learning and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 22
- Issue
- 6
- Pages
- 747-758
- ISSN
- 1041-6080 (ISSN-L)
- OpenAlex
- W2019886670
- Cited by
- 291
- References
- 40
- Citations by year
- 2026: 10 · 2025: 31 · 2024: 23 · 2023: 19 · 2022: 27 · 2021: 36 · 2020: 25 · 2019: 18 · 2018: 35 · 2017: 18 · 2016: 21 · 2015: 9 · 2014: 8 · 2013: 10 · 2012: 1
- FWCI
- 12.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Learning and Individual Differences (publishedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- confidence, self-efficacy, self-concept, anxiety, academic performance, mathematics achievement, English achievement, 15-year-old students, individual differences, misconceptions, self-belief
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