Teacher education programs must rapidly integrate AI literacy and tools to prepare future educators for an AI-transformed educational landscape.
Objective: To explore potential uses, benefits, and challenges of AI tools in teacher education programs and provide practical examples for integrating AI in teacher preparation.
Methods: Analysis of existing literature and presentation of 13 detailed exemplars demonstrating AI integration in teacher education, including practical activities combining AI-based and non-AI teaching methods.
Key Findings:
- Teacher educators face urgency to incorporate AI literacy into curriculum
- AI tools can support personalized learning, assessment, and lesson planning
- Critical challenges include preventing over-reliance on AI and maintaining academic integrity
- Successful integration requires balancing AI tools with traditional teaching methods
Implications:
- Teacher preparation programs need immediate adaptation to include AI literacy
- Educators must develop frameworks for ethical AI use in education
- Integration should focus on enhancing rather than replacing human teaching elements
- Professional development in AI literacy is crucial for teacher educators
Limitations:
- Rapidly evolving nature of AI technology may quickly date findings
- Limited empirical evidence on long-term impacts
- Focus primarily on theoretical frameworks rather than implementation data
Future Directions:
- Evaluate long-term effectiveness of AI integration in teacher education
- Develop standardized frameworks for AI literacy in teacher preparation
- Research impact on student learning outcomes
- Explore ethical guidelines for AI use in education
Title and Authors: "Artificial Intelligence Integration in Teacher Education: Navigating Benefits, Challenges, and Transformative Pedagogy" by Viviana Alexandrowicz
Published On: November 5, 2024
Published By: Journal of Education and Learning (Canadian Center of Science and Education)