ISLS 2026
CSCL ✕ AI in Education ✕ Clear filters
Tuesday, June 16 · 5 sessions

2:30 PM

4 options scroll
Hybrid Symposium · ALP 1110

Revisiting Wise & Schwarz’s Provocations for CSCL: Partnerships for Transformation and Educational Change

Revisits Wise and Schwarz's 2017 provocations for CSCL and invites the broader learning sciences community to articulate a vision for the field's next decade. Researchers from ICLS and CSCL propose new provocations addressing the changing technological landscape and the need to center diverse perspectives in technology-enhanced collaboration.

AI in Education
Long Paper · ALP 2100

Knowledge Advancement

Long papers advancing methods and theory for collaborative knowledge building and convergence. Contributions include transitional spaces between group and individual learning, NLP-based semantic analysis of discourse, multimodal reflective assessment of socio-emotional interaction, and quantifying convergence via word-abstractness change detection.

AI in Education in a talk
4 talks
Short Paper · ALP 2200

AI Human Interaction

Short papers on how learners interact with AI across higher education and accessible STEM contexts. Topics include student-AI relationships and shared agency, generative AI for design iteration, accessible games for blind and low-vision learners, and AI-enabled dialogic leadership training.

AI in Education in a talk
5 talks
Short Paper · ALP 2500

Support for Collaborative Learning

Short papers on tools and designs that scaffold collaborative learning, with a strong emphasis on self- and socially-shared regulation. Approaches include TA awareness of pre-class reports, game-based simulations like MetaSim, generative-AI chatbots and the MIRACLE multi-agent system, plus a scoping review of AI-supported knowledge creation.

AI in Education in a talk
5 talks

4:30 PM

1 option
ALP 1600

CSCL Invited Symposium

A plenary symposium reframing AI's disruption of learning through human-AI complementarity, the idea that people and AI systems contribute distinct, interdependent strengths. Spanning sociotechnical design, collaborative learning, cognitive augmentation, and AI ethics, it asks how hybrid collaboration can amplify human judgment and how tools and policies must change for equitable interdependence.

AI in Education