Empowering Future Educators: Integrating AI in Teacher Education for Equitable Learning

In today’s rapidly changing educational environment, Artificial Intelligence (AI) is being argued as a powerful tool for supporting teaching and personalizing learning for students. Nonetheless, AI technologies, despite their transformative potential, are not exempt from the biases present in the data they are trained on and the algorithms they use. This can lead to unequal educational scenarios, such as biased recommendations or evaluation mechanisms that may inadvertently favor or penalize students based on their race, gender, socioeconomic background, or other factors. This talk will examine the current AI in the education landscape within a historical context, explore how AI operates, its role in education, and critically analyze the consequences of its deployment. We will explore how we should be thinking about the role of teacher educators in supporting pre-service teachers to learn about AI and its potential uses in education.

Presented by Dr. Aman Yadav

Dr. Aman Yadav is the Lappan-Phillips Professor of Computing Education in the College of Education and College of Natural Science at Michigan State University with extensive experience in research, evaluation, and teacher professional development. His research and teaching focus on supporting educators to understand, apply, and critically evaluate the use of computing in K through 12 classrooms. He leads several projects that design, implement, and assess how professional learning experiences can support teachers to bring computational tools and practices to support their disciplinary teaching. His co-edited book, Computational Thinking in Education: A Pedagogical Perspective tackles how to integrate computational thinking, coding, and subject matter in relevant and meaningful ways. His work has been published in several leading journals, including Communications of the ACM, ACM Transactions on Computing Education, Journal of Research in Science Teaching, and Journal of Engineering Education.

Support for this event provided by CUNY CITE (Computer Integrated Teacher Education)