Acceptance of Artificial Intelligence as a Teaching Strategy Among University Professors: The Role of Habit, Hedonic Motivation, and Competence for Technology Integration

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Quantitative analysis reveals technology integration, habit, and hedonic motivation affect AI adoption by university teachers.

Positive acceptance of artificial intelligence in teaching is influenced by habit and individual characteristics.
Main factors include habit (β = 0.405), hedonic motivation (β = 0.167), and performance expectancy (β = 0.129).
Quantitative cross‐sectional study conducted with 318 university teachers using online surveys for data collection.
Results highlight the need for teacher competence and integration strategies, revealing age differences in perceptions.

Enríquez et al. (2025) studied this question.

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