Critical AI Learning Lab (CALL)

About

The Critical AI Learning Lab (CALL) works to develop critical thinking toward Artificial intelligence (AI), or “AI literacy,” so educators can support students in building a balanced perspective on AI and competencies for using AI effectively and responsibly.

AI is revolutionizing the learning experience for students of all ages, and innovative instructional strategies supported by AI have the potential to make educating the next generation more personalized, efficient and effective.

Educators who use AI can help students achieve their full potential and prepare them for a future that demands critical thinking, problem-solving and adaptability. To succeed, they must also understand the limitations, ethical issues and public concerns associated with AI.  

CALL is dedicated to preparing educators to face these seismic shifts and empower their students to use AI for diverse purposes. Our lab is affiliated with the Department of Educational Theory and Practice in UAlbany’s School of Education.

 

A teacher working with students using tablets in an elementary school classroom.


 

Contact CALL
Dr. Haesol Bae
Catskill 267

1400 Washington Avenue
Albany, NY 12222
United States

Email
[email protected]
Phone
518-442-5037
Office Hours

9 a.m. to 5 p.m. Monday to Friday

Publications

Acosta, H., Lee, S., Bae, H. et al., (2024) Recognizing Multi-Party Epistemic Dialogue Acts During Collaborative Game-Based Learning Using Large Language Models. International Journal of Artificial Intelligence in Education.

Bae, H., Hur, J., Park, J., Choi, GW., & Moon, J. (2024) Pre-Service Teachers’ Dual Perspectives on Generative AI: Benefits, Challenges, and Integration into their Teaching and Learning. Online Learning.

Bae, H., & Bozkurt, A. (2024). The untold story of training students with generative AI: Are we preparing students for true learning or just personalization? Online Learning, 28(3), (1-9). DOI: 10.24059/olj.v28i3.4689

Bozkurt, A., & Bae, H. (2024). May the Force Be With You JedAI: Balancing the Light and Dark Sides of Generative AI in the Educational Landscape. Online Learning, 28(2), 1-6.

Walton, D., & Bae, H (2024). A Multi-Level Framework for Exploring the AI interaction through Joint Reasoning. In Proceedings of the International Society of the Learning Sciences (ISLS).

Team

Principal Investigator

Haesol Bae
Haesol Bae
Assistant Professor
Department of Educational Theory & Practice; School of Education
518-442-5037
[email protected]
Catskill 267
Dr. Bae is an assistant professor at the University at Albany, State University of New York (SUNY). Her research brings together problem-based learning, artificial intelligence (AI) and teacher education in STEM education. She seeks to understand how teachers can play a central role in supporting student learning while utilizing emerging educational technology, such as games and AI. She is also collaborating with K-12 teachers to co-design an AI curriculum for middle schoolers to support locally relevant practices, with a focus on how AI impacts students' lives and the ethical considerations surrounding AI.

Graduate Students

Jaesung Park
Jaesung Park.

Jaesung Park is a doctoral student in UAlbany’s Curriculum and Instruction PhD program. He focuses on articulating curricular basis for K-12 AI education and implementing them to support teachers in teaching about AI in classrooms.  

His research interest also covers developing teacher education programs that support pre-service science teachers’ learning of how to teach climate change in classrooms.

Email: [email protected] 

Nursultan Japashov
Nursultan Japashov.

Nursultan Japashov is a doctoral student in UAlbany’s Curriculum and Instruction PhD program. His research focuses on teaching, learning and assessing AI for K-12.  

Email: [email protected] 

 

Devan Walton

Devan Walton is a doctoral student in UAlbany’s Curriculum and Instruction PhD program. He teaches computer science at a community college in Massachusetts.  

His research interests include student reasoning with LLMs, AI equity in marginalized educational contexts and agent-based learning environments.

Email: [email protected] 

Yingru Zhao
Yingru Zhao.

Yingru Zhao is a doctoral student in UAlbany’s Curriculum and Instruction PhD program.  

Her research focuses on exploring the challenges and integration of AI in language education and classroom applications. She collaborates with college and K-12 teachers in China to understand their perspectives on the role of AI in the classroom.  

Her work aims to build common ground between educators and chatbots by aligning lesson objectives with educational contexts and designing effective prompts to support lesson planning and language acquisition.

Email: [email protected]