A Generative Model of Mathematics Learning
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Generative learning theory suggests that learning is the process of generating and transferring meaning for stimuli and events from one's background, attitudes, abilities, and experiences.
“Generative learning theory (Fiorella and Mayer 2016;Wittrock 1974) suggests that learning is the”
From The Cognitive Affective Model of Immersive Learning (CAMIL): a Theoretical Research-Based Model of Learning in Immersive Virtual Reality (2021) · cites this paper as Wittrock 1974
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- Authors
- Wittrock, M. C.
- Corresponding author
- Wittrock, M. C.
- Venue
- Journal for Research in Mathematics Education
- Published
- 1974-11
- Volume
- 5
- Issue
- 4
- Pages
- 181
- ISSN
- 0021-8251 (ISSN-L)
- OpenAlex
- W4212791721
- Cited by
- 59
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2018: 4 · 2017: 1 · 2016: 1 · 2014: 1 · 2012: 5
- FWCI
- 24.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal for Research in Mathematics Education (publishedVersion)
- Topics
- Social Sciences › Education › Mathematics Education and Teaching Techniques
- Physical Sciences › Mathematics › Applied Mathematics › Mathematics Education and Pedagogy
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- generative models, mathematics learning, cognitive models of learning, mathematical cognition
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