AERA e-Lightning Ed-Talks

Using Large Language Model to Analyze Chemistry Undergraduate Students’ Self-Constructed Concept Maps (Stage 2, 7:50 AM) - Gan Jin, Washington State University; Tingting Li, Washington State University; Hyeonji Julia Lee, Washington State University; Yu Xue, Washington State University; Peng He, Washington State University; Olusola Olalekan Adesope, Washington State University; Chloe G. Dydasco, Washington State University; Oluwafemi J. Sunday, Washington State University; Krista Nishida, Washington State University

Integrating Generative AI in Qualitative Analysis: Application in Science Education (Stage 2, 7:59 AM) - Rida Munir, Utah State University; Ha Nguyen, University of North Carolina - Chapel Hill; Hillary Lucille Swanson, Utah State University; Ravi Sinha, Utah State University; Idris Solola, Utah State University

Generative AI and Self-Directed Learning: A Systematic Review of Emerging Trends and Implications (Stage 2, 8:08 AM) - Xiaoying Zheng, Indiana University; Zixi Li, Indiana University; Chaoran Wang, Colby College

Classifying Permissiveness in Generative AI Syllabus Policies: A Corpus-Based Typology Development (Stage 2, 8:17 AM) - Amanda Taylor, Boise State University; Brett E. Shelton, Boise State University

Teacher Conceptualization of Student Challenges and Solutions for CT in A Non-CS Classroom (Stage 2, 8:26 AM) - Vivek Sabanwar, Texas A&M University; Tugce Aldemir, Texas A&M University; Selcuk Kilinc, Texas A&M University; Ali Bicer, Texas A&M University; Donggil Song, Texas A&M University

A Review of Precollege Quantum Information Science Education through a Learning Sciences Lens (Stage 2, 8:35 AM) - Raquel Coelho, University of Pittsburgh; Kristin Børte, University of Bergen; Cassandra Kelley, University of Pittsburgh; Junyu Liu, University of Pittsburgh

“What’s Next?”: Mentorship Through A Storytelling Card Game (Stage 2, 8:44 AM) - Sonia Kim, Teachers College, Columbia University; J K Voorhis, Teachers College, Columbia University