Objective: To examine pre-service teachers' perceptions and behavioral intention to learn AI by identifying factors that might affect learning and promoting AI in teacher preparation programs.
Methods:
- Survey of 796 pre-service teachers across universities in North Central Nigeria
- Used structural equation modeling (PLS-SEM) to analyze relationships between variables
- Evaluated nine factors including AI anxiety, basic knowledge, subjective norms, self-efficacy, personal relevance, and others
- Data analyzed using SmartPLS 4.0 software
Key Findings:
- Basic knowledge was the strongest predictor of intention to learn AI
- 11 out of 14 hypotheses were supported
- Model explained 79% of variance in behavioral intention
- Anxiety, basic knowledge, subjective norms, self-efficacy, personal relevance, and self-transcendent goals significantly affected intention to learn AI
- Social good did not influence intention to learn AI
- Behavioral intention did not predict actual learning behavior
Implications:
- Findings provide valuable information for designing effective AI teacher education programs
- Highlights importance of developing basic AI knowledge among pre-service teachers
- Suggests need for structured opportunities to engage with AI in teaching practices
- Emphasizes role of mentors and role models in increasing learning interest
Limitations:
- Imbalanced representation across teacher education departments
- Predominantly middle-class participants
- Focus on specific geographic region (North Central Nigeria)
- Self-reported data
Future Directions:
- Validate findings with pre-service teachers in other regions
- Design and evaluate AI short courses for pre-service teachers
- Explore pre-and-post intervention effects
- Investigate direct relationships with actual behavior
- Study long-term impact of AI training
Title and Authors: "Investigating pre-service teachers' artificial intelligence perception from the perspective of planned behavior theory" by Ismaila Temitayo Sanusi, Musa Adekunle Ayanwale, and Adebayo Emmanuel Tolorunleke
Published On: January 6, 2024
Published By: Computers and Education: Artificial Intelligence