The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Novak's Theory of Education: Human Constructivism and Meaningful Learning
Abstract
At the heart of constructivism is the recognition that knowledge is not an entity transferred in toto from teacher to learner, but rather that learning requires active engagement of the student's mind. Ausubel's Assimilation Theory describes the three requirements for such meaningful learning to take place. Novak's Theory of Education, which he calls Human Constructivism, extends and applies Ausubel's ideas to the classroom by considering a framework of elements in education: the teacher, the learner, the content, the context, and evaluation. The paper concludes by discussing the implications of Novak's theory to both chemistry teaching and chemistry education research.
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Citations
Cites
Novak, J. D., Gowin, D. B., & Kahle, J. B. (1984) · doi:10.1017/cbo9781139173469 · Cited by 5,199
Cited by
Singer, S., & Smith, K. A. (2013) · Journal of Engineering Education · doi:10.1002/jee.20030 · Cited by 835
Metacognition: An Effective Tool to Promote Success in College Science Learning
Zhao, N., Wardeska, J. G., McGuire, S. Y., & Cook, E. (2014) · Journal of College Science Teaching · doi:10.2505/4/jcst14_043_04_48 · Cited by 104
Kelley, E. W. (2021) · Journal of Chemical Education · doi:10.1021/acs.jchemed.1c00457 · Cited by 98
Metadata
- Authors
- Bretz, S. L.
- Venue
- Journal of Chemical Education
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-08
- Volume
- 78
- Issue
- 8
- Pages
- 1107
- ISSN
- 0021-9584 (ISSN-L)
- 1938-1328
- OpenAlex
- W2089366877
- Cited by
- 273
- References
- 1
- Type
- conference abstract
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
