The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Expanding computer science education in schools: understanding teacher experiences and challenges
Abstract
The increased push for teaching computer science (CS) in schools in the United States requires training a large number of new K-12 teachers. The current efforts to increase the number of CS teachers have predominantly focused on training teachers from other content areas. In order to support these beginning CS teachers, we need to better understand their experiences and challenges encountered in the classroom. This study investigated U.S. CS teachers’ perspectives on the demands of teaching computer science and support needed to ensure quality teaching. Results suggested that teachers face a number of challenges, including isolation, lack of adequate computer science background, and limited professional development resources.
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Cites
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Ismail, M., Madathil, N. T., Alalawi, M., Alrabaee, S., Al Bataineh, M., Melhem, S., & Mouheb, D. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100501 · Cited by 30
Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations
Al-Hossami, E., Bunescu, R., Teehan, R., Powell, L., Mahajan, K., & Dorodchi, M. (2023) · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) · doi:10.18653/v1/2023.bea-1.57 · Cited by 23
Customizing ChatGPT to Help Computer Science Principles Students Learn Through Conversation
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Metadata
- Authors
- Yadav, A., Gretter, S., Hambrusch, S., & Sands, P.
- Venue
- Computer Science Education
- Publisher
- Informa UK Limited
- Published
- 2016-12-05
- Volume
- 26
- Issue
- 4
- Pages
- 235-254
- ISSN
- 0899-3408 (ISSN-L)
- 1744-5175
- OpenAlex
- W2560284831
- Cited by
- 308
- References
- 41
- FWCI
- 16.53
- Type
- journal article
- 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.
