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Session Type: Symposium
This symposium consists of four presentations that explore the use of conversational AI technologies to support young children’s learning across various contexts. In particular, these presentations focus on the types of AI agents that can engage children in voice-based interactions, incorporating them into interactive science videos, dialogic reading, and co-created storytelling. Three experimental studies demonstrate the benefits of interacting with AI on children’s science, language, and vocabulary learning. Additionally, the final study investigates children’s preferences and trust in technological sources compared to traditional human informants. Taken together, the symposium offers valuable insights into the design, feasibility, and effectiveness of AI-facilitated conversations, providing tailored scaffolding and social support to promote active and engaging learning in early childhood education.
Artificial Intelligence Promotes Children’s Science Learning from Television Shows Through Enhanced Verbal Engagement - Ying Xu, Harvard University; Kunlei He, University of California - Irvine; Julian Levine, University of California - Irvine; Daniel Ritchie, University of California - Irvine; Echo Zexuan Pan, Harvard University; Andres Sebastian Bustamante, University of California - Irvine; Mark Warschauer, University of California - Irvine
Examining the Implementation of a Spanish-English Bilingual Conversational Agent to Promote Shared Reading at Home - Kunlei He, University of California - Irvine; Kelsyann Cervera, University of California - Irvine; Julian Levine, University of California - Irvine; Ying Xu, Harvard University; Penelope Collins, University of California - Irvine; Mark Warschauer, University of California - Irvine
Learning with Generative Artificial Intelligence Through Co-Creative Storytelling - Echo Zexuan Pan, Harvard University; Xuechen Liu, University of Michigan; Trisha Thomas, Harvard University; Chao Zhang, Cornell University; Ying Xu, Harvard University
Children’s Understanding of Technological Omniscience - Lauren Girouard-Hallam, University of Michigan; Judith H Danovitch, University of Louisville