The DOI matches its Crossref record.
Improving Teaching and Learning through Chemistry Education Research: A Look to the Future
Abstract
The complexity of chemistry has implications for the teaching of chemistry today. That chemistry is a very complex subject is shown from the research on problem solving and misconceptions that has dominated the field during the past 15 years. New programs, particularly those supported with NSF funding, that are based on making chemistry relevant through problem solving and collaborative learning hold promise for reforming chemistry education.
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Citations
Cited by
Singer, S., & Smith, K. A. (2013) · Journal of Engineering Education · doi:10.1002/jee.20030 · Cited by 835
Anderson, J. L., Ellis, J. P., & Jones, A. M. (2014) · CBE—Life Sciences Education · doi:10.1187/cbe.13-12-0230 · Cited by 121
Gkitzia, V., Salta, K., & Tzougraki, C. (2011) · Chem. Educ. Res. Pract. · doi:10.1039/c1rp90003j · Cited by 116
Escape the Lab: An Interactive Escape-Room Game as a Laboratory Experiment
Vergne, M. J., Simmons, J. D., & Bowen, R. S. (2019) · Journal of Chemical Education · doi:10.1021/acs.jchemed.8b01023 · Cited by 82
Soysal, Y., & Yilmaz-Tuzun, O. (2021) · Research in Science Education · doi:10.1007/s11165-019-09881-1 · Cited by 24
Metadata
- Authors
- Gabel, D.
- Venue
- Journal of Chemical Education
- Publisher
- American Chemical Society (ACS)
- Published
- 1999-04
- Volume
- 76
- Issue
- 4
- Pages
- 548
- ISSN
- 0021-9584 (ISSN-L)
- 1938-1328
- OpenAlex
- W2058139900
- Cited by
- 563
- References
- 0
- FWCI
- 17.84
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Improving Teaching and Learning through Chemistry Education Research: A Look to the Future. https://app.cochat.ai/papers/10.1021/ed076p548
- The paper
- Gabel, D. (1999). Improving Teaching and Learning through Chemistry Education Research: A Look to the Future. Journal of Chemical Education. https://doi.org/10.1021/ed076p548
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.