Teaching and learning with AI: a qualitative study on K-12 teachers' use and engagement with artificial intelligence
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Introduction: As artificial intelligence technologies rapidly enter educational settings, teachers find themselves navigating fundamental pedagogical shifts while maintaining professional agency. Despite growing AI adoption in schools, limited research examines how teachers actually experience and shape AI integration within their classroom contexts, especially in the contexts of developing countries. This study investigates teachers' beliefs about AI's educational role, their incorporation patterns, and associated challenges and opportunities. Methods: Using semi-structured interviews with 20 teachers from two private schools in Delhi, India, the paper employed thematic analysis grounded in an AI Literacy and Ecological Teacher Agency Framework. Findings/Results: Three key findings emerged: Teachers simultaneously embrace AI's potential to enhance learning and administrative efficiency while expressing deep concerns about student over-dependence and erosion of critical thinking skills. Both teachers and students demonstrate emerging technical AI competencies, but significant gaps in critical evaluation and ethical application remain, revealing a concerning literacy imbalance. Beyond surface-level tool adoption, AI integration fundamentally reshapes teachers' professional beliefs and sense of agency, prompting ongoing renegotiation of their pedagogical identities and classroom authority. Discussion: The findings demonstrate an urgent need for teacher education that centers the teacher rather than the technology and moves beyond basic technical training to embed critical thinking and ethical reasoning into AI engagement. Parallel to this, policymakers must prioritize collaborative frameworks that position teachers as partners in AI integration design rather than passive recipients of top-down mandates. The paper concludes with a call for future research to examine AI integration across diverse educational contexts to understand how institutional and socioeconomic factors shape teachers' engagement with AI technologies.
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The widespread availability of GAI tools capable of generating explanations, case analyses, and personalized learning materials challenges the conventional assumption that teachers serve as the primary source of information and guidance.
“The widespread availability of GAI tools capable of generating explanations, case analyses, and even personalized learning materials challenges the conventional assumption that teachers serve as the primary source of information and guidance [11, 12].”
From Expanding the Roles of Medical Educators in the Generative Artificial Intelligence Era: A Qualitative Study (2026) · cites this paper as [11]
The Introduction and context describes generative AI providing instant tutoring, and Emerging challenges in incorporating AI reports that students compare teacher-led instruction with AI-generated content, weakening teachers’ authority. Pragmatic acceptance and future-oriented AI integration mentions personalized learning materials, but as an application teachers are exploring; the paper does not establish widespread availability of case analyses or personalized materials as the cause of that shift. (LLM, conf=0.85)
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- Authors
- Tripathi, T., Sharma, S. R., Singh, V., Bhargava, P., & Raj, C.
- Affiliations
- University of California San Diego (US)
- University of Chicago (US)
- Corresponding author
- Tripathi, Tarang
- Venue
- Frontiers in Education
- Publisher
- Frontiers Media SA
- Published
- 2025-08-14
- Volume
- 10
- ISSN
- 2504-284X (ISSN-L)
- OpenAlex
- W6964790841
- Cited by
- 51
- References
- 0
- Citations by year
- 2026: 45 · 2025: 6
- FWCI
- 53.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Education (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of California, San Diego
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Education and Technology Integration
- Keywords
- artificial intelligence in education, K-12 teachers, teacher agency, AI literacy, critical thinking, ethical use of AI, teacher professional development, pedagogical identity, classroom authority, AI integration in schools, developing countries, India
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