Developing Artificial Intelligence Convergence Competencies and Behavioral Indicators for University Faculty

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Key Points

The research aims to systematically identify AI convergence competencies required for university faculty in the evolving higher education landscape.
Conducted three rounds of Delphi surveys with expert groups
Analyzed previous studies to identify necessary AI competencies
Developed behavioral indicators based on experts' feedback and consensus
Established a competency framework consisting of three main areas: AI knowledge, AI classroom utilization, and AI attitude
Defined 29 behavioral indicators across 8 sub-competencies
Provided a foundational resource for competence diagnosis and development at the university level

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This research identifies AI competencies and behavioral indicators for university faculty, suggesting a framework for development.

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Jo et al. (2025) studied this question.

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