Symposium CSCL 2025 - Collaborating with Generative AI for Learning? by Davinia HERNANDEZ LEO

Too early to be able to make recommandations

2025-06-11 07:43:15 UTC

CSCL design patterns

daviniahernandezleo — 2025-06-11 08:13:13 UTC

GenAI as an agent or a tool?

daviniahernandezleo — 2025-06-11 08:13:27 UTC

Use AI to make learning harder

daviniahernandezleo — 2025-06-11 08:15:58 UTC

Design principles

daviniahernandezleo — 2025-06-11 08:29:02 UTC

Align output (feedback) with "appropreate" level, e.g., higher/lower order concerns

takashi606kasuga — 2025-06-11 08:33:34 UTC

Distribution of agency between humans and AI

2025-06-11 08:35:25 UTC

GanAI as a boundary object

2025-06-11 08:36:39 UTC

I loved Jun’s suggestions along these lines. How can we create more of these opportunities in our CSCL community at large?

To make AI adaptive to different contexts, and not so rigid to one specific setting

psantos54 — 2025-06-11 08:37:32 UTC

A key challenge in CSCL is to avoid treating generative AI as just another collaborative tool

2025-06-11 08:37:37 UTC

Don't throw out the baby with the bath water

2025-06-11 08:38:49 UTC

Many ways of supporting students' learning with technology have been developed and researched. We should not think of them as being replaced by AI, but being used together with AI (in cases where AI acts value to them). For research, this means that the "control condition" should not be the learner without IT.

Meta-reflection

2025-06-11 08:58:28 UTC

Having a lot of research in the background on collaboration, what can we observe about if and how meta-reflection changes when AI is involved in the collaboration?