Exploring university students perceptions of artificial intelligence acceptance in mathematical learning through motivational beliefs and self-regulated learning strategies

Key Points

• This research aims to understand how university students perceive the acceptance of artificial intelligence in the context of mathematical learning based on their motivational beliefs and self-regulated learning strategies.
• Conducted surveys to assess students' perceptions of AI in math learning.
• Evaluated students' motivational beliefs related to the use of AI.
• Examined the application of self-regulated learning strategies among students.
• Students displayed a generally positive perception of AI's role in mathematical learning.
• Motivational beliefs significantly influenced the acceptance of AI technologies.
• Self-regulated learning strategies were correlated with more favorable views toward AI in learning contexts.