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Will Teacher-AI Collaboration Enhance Teaching Engagement?

Lai-Jian Ding1, Jia-Min Li2, Bei-He Hui1

  • 1Department of Physical Education, Zhejiang Sci-Tech University, Hangzhou 310018, China.

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Summary
This summary is machine-generated.

Teacher-AI collaboration boosts teaching engagement by enhancing technological self-efficacy. Perceived organizational support further strengthens this link, optimizing AI integration in education.

Keywords:
conservation of resources theoryperceived organizational supportteacher-AI collaborationteaching engagementtechnological self-efficacy

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Area of Science:

  • Educational Technology
  • Artificial Intelligence in Education
  • Teacher Professional Development

Background:

  • Widespread integration of Artificial Intelligence (AI) into educational settings.
  • Profound influence of AI on teaching behavior and practices.
  • Need to understand teacher-AI collaboration dynamics.

Purpose of the Study:

  • To examine the impact of teacher-AI collaboration on teaching engagement.
  • To investigate the mediating role of technological self-efficacy.
  • To explore the moderating role of perceived organizational support.

Main Methods:

  • Utilized the Conservation of Resources Theory framework.
  • Collected empirical data through a survey in China.
  • Tested a moderated mediation model.

Main Results:

  • Teacher-AI collaboration positively predicts teaching engagement.
  • Technological self-efficacy mediates the relationship between teacher-AI collaboration and engagement.
  • Perceived organizational support moderates the effect on technological self-efficacy.

Conclusions:

  • AI collaboration enhances teaching engagement via increased teacher confidence.
  • Organizational support is crucial for maximizing AI's positive impact on teachers.
  • Findings offer practical insights for optimizing AI adoption in educational institutions.