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Cited by 228Artificial Intelligence in EducationDigital literacy in educationTeacher Education and Leadership Studies

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Enhancing teacher AI literacy and integration through different types of cases in teacher professional development

Open access
Ding, Ai-Chu Elisha, Shi, Lehong, Yang, Haotian, Choi, Ikseon·2024·Computers and Education Open
DOI 10.1016/j.caeo.2024.100178
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Abstract

Integrating artificial intelligence (AI) into teaching practices is increasingly vital for preparing students for a technology-centric future. This study examined the influence of a case-based AI professional development (PD) program on AI integration strategies and AI literacy among seven middle school science teachers. Employing three distinct case problems, from well-structured to ill-structured, the AI PD program aimed to stimulate teachers’ reflection on AI literacy development and encourage the construction of problem-solving and AI integration strategies within various pedagogical contexts. Analysis of video-recorded case discussions revealed that teachers primarily drew on personal experiences for collaborative problem-solving across the three cases. However, the complexity of the case problems influenced their approach to knowledge co-construction, and dealing with ill-structured problems promoted the application of new knowledge. Through analyzing the survey data, we found a marked increase in teachers’ AI literacy, particularly in the domain of knowing and understanding AI, suggesting a pivotal role for direct instruction that supports AI literacy growth. However, their application of this AI knowledge was limited during the case discussions, while other domains of teacher AI literacy were more frequently employed. The findings highlight the importance of combining direct instruction with case-based discussions in AI-related PD programs to bolster teacher AI literacy effectively. The research has implications for using a case-based learning approach during short-term PD initiatives and advocates the ongoing need for comprehensive AI literacy development to facilitate teachers’ AI integration in subject-specific teaching.

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Crossref · 10.1016/j.caeo.2024.100178

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Citations

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Research works printed but not linked: 2

  1. Shi, 2024, A systematic review on artificial intelligence in supporting teaching practice: application types, pedagogical roles, and technological characteristics
  2. Latif, E., G. Mai, M. Nyaaba, X. Wu, N. Liu, G. Lu, S. Li, T. Liu, and X. Zhai. (2023). Artificial general intelligence (AGI) for education. arXiv preprint arXiv:2304.12479. · arXiv

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Metadata

Authors
Ding, A.-C. E., Shi, L., Yang, H., & Choi, I.
Affiliations
  • University of Georgia (US)
  • Emory University (US)
Corresponding author
Ding, Ai-Chu Elisha
ORCID
Venue
Computers and Education Open
Publisher
Elsevier BV
Published
2024-06
Volume
6
Pages
100178
ISSN
2666-5573 (ISSN-L)
DOI
10.1016/j.caeo.2024.100178
OpenAlex
W4394680566
Cited by
228
References
60
Citations by year
2026: 103 · 2025: 105 · 2024: 20
FWCI
85.73
Type
journal article
Language
en
Open access
Licence
Locations
  • Computers and Education Open (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Social Sciences › Education › Digital literacy in education
  • Social Sciences › Education › Teacher Education and Leadership Studies
Keywords
teacher AI literacy, AI in teaching, middle school science teachers, knowledge co-construction, collaborative problem solving, direct instruction, teacher reflection, AI integration strategies

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