Exploring Human-AI Interactions Across Various Learning Tasks: Diverse Perspectives on Augmenting Learner
Sanna Järvelä, Nikol Rummel, Mutlu Cukurova, Anna Radtke, Jennifer Meyer, Stephanie Fu Yang, Bertrand Schneider, Carolyn Penstein Rosé, Melisa Orta Martinez, Kylie Peppler, Joni Lämsä, Adelson de Araujo, Justin Edwards, Márta Sobocinski, Anni‐Sofia Roberts, Ridwan Whitehead, Pantelis M. Papadopoulos · Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference · 2025
This symposium focuses on understanding learners' interactions with artificial intelligence (AI), particularly chatbots and agents, to advance human-AI collaboration research from the perspective of computer-supported collaborative learning (CSCL).The four papers discuss human-AI interactions in various learning tasks and domains, especially from an augmentation perspective.The studies examine how these interactions can support learning processes and how learners perceive AI as an interaction partner (or not).By exploring these augmentation dynamics across tasks and domains, the symposium contributes to the evolving understanding of human-AI collaboration in teaching and learning.The symposium's discussant will synthesize insights from these studies to shed light on how these studies contribute knowledge and how these approaches need to be further developed to contribute to future hybrid intelligence (HI) systems in education.