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Overview

Kohnke and colleagues investigate what pre-service teachers should learn about generative AI by backtracking from anticipated classroom dilemmas to teacher-education design needs. Through qualitative interviews with 17 pre-service teachers at a university, the study explores perspectives on integrating AI into education, focusing on ethical concerns and pedagogical strategies within an interpretivist paradigm.

Key Findings

  • Pre-service teachers raise concerns about academic integrity, privacy, and the challenge of maintaining essential human skills in a GenAI-driven educational environment.
  • The backtracking approach translates classroom dilemmas into concrete teacher-education curriculum implications.
  • Findings identify a need for AI literacy and critical-thinking skills in teacher education, alongside ethics and privacy awareness.
  • The study supports embedding responsible-use considerations across the teacher-education curriculum rather than treating them as an add-on.

Implications for Practice

  • For teacher educators: Curriculum should build pre-service teachers' AI literacy and critical thinking around authentic GenAI dilemmas (integrity, privacy, human skills).
  • For curriculum designers: Ethics, privacy, and AI literacy should be woven throughout teacher preparation, grounded in anticipated classroom realities.
  • For pre-service teachers: Preparation for responsible GenAI use involves both technical understanding and ethical reasoning.

Connected Concepts

Connected Articles

Citation

Preparing pre-service teachers for responsible generative AI use: Curriculum implications for ethics, privacy, and AI literacy — Kohnke, L., Zou, D., Lai, C., & Gu, M. M. (2026). Computers and Education: Artificial Intelligence, 10, 100617.

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