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Preparing future educators for AI-enhanced classrooms : Insights into AI literacy and integration

  • Lucas KOHNKE
  • , Di ZOU
  • , Amy Wanyu OU
  • , Mingyue Michelle GU*
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The rapid transformation of educational practice by artificial intelligence (AI) requires that teacher-education programmes prepare pre-service teachers to integrate AI into their teaching. This qualitative study explores pre-service teachers’ perceptions of AI integration in education and identifies the support they need to develop AI literacy. We conducted semi-structured interviews with 15 pre-service teachers and used thematic analysis to interpret the data. Our findings revealed that these future educators recognised AI’s potential to enhance personalised learning and increase classroom efficiency but worried about relying on AI too much and losing the human element in teaching. The participants also highlighted significant challenges in developing AI literacy, including insufficient training and a lack of institutional support in their programmes. The need to maintain data privacy and protect against algorithmic bias emerged as critical areas of concern. This study underscored the urgent need for comprehensive AI literacy curricula in teacher education that encompass both technical skills and ethical understanding. We recommend that educational institutions provide practical AI experiences, establish clear ethical guidelines and offer continuous professional development opportunities. By addressing these needs, teacher-education programmes can prepare future educators to leverage AI technologies to enhance educational outcomes.
Original languageEnglish
Article number100398
JournalComputers and Education: Artificial Intelligence
Volume8
Early online date16 Mar 2025
DOIs
Publication statusPublished - Jun 2025

Bibliographical note

Publisher Copyright:
© 2025

Funding

This research is supported by General Research Fund (GRF) (Project Number: 18621622), funded by Research Grant Council, Hong Kong, China, and JC_AI research fund (Project number: 02186), funded by the Education University of Hong Kong.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • AI literacy
  • Artificial intelligence integration
  • Pre-service teachers
  • Qualitative study
  • Self-directed learning
  • Teacher education

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