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This research aims to analyze how students' AI learning motivation transitions over time using Self-Determination Theory.

From disengaged to self-determined: A latent transition analysis of students’ AI learning motivation

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Latent transition analysis shows motivational profile changes in students learning AI, highlighting psychological needs' role.

This research aims to analyze how students' AI learning motivation transitions over time using Self-Determination Theory.
Latent Transition Analysis was employed to evaluate motivational profiles in students.
A total of 2,086 secondary students participated in an AI curriculum over a year.
Pre- and post-tests assessed changes in motivation levels.
Three motivational profiles were identified: Disengaged, Developing, and Self-Determined.
Most students maintained or progressed towards higher motivational profiles.
Improvements in AI literacy were greatest among students in the Self-Determined profile.

Liang et al. (2026) studied this question.

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