Table 1 Supporting knowledge building principles with generative AI
From: Designs and practices using generative AI for sustainable student discourse and knowledge creation
Knowledge building principles | Proposed moves that generative AI can conduct as a learning companion |
|---|---|
Real ideas, authentic problems | Generative AI can be used to (a) Identify and explain existing or new authentic problems that the students intend to work on (b) Summarize the existing pool of ideas generated by student discourse |
Idea diversity | Generative AI can (a) Synthesize new ideas, perspectives, or issues from current discourse to stimulate further discussions (b) Prompt students to consider diverse perspectives and help them appreciate the value of varying viewpoints that are essential for collaborative knowledge building |
Improvable ideas | Generative AI can (a) Identify relevant ideas from the discourse that have the potential for improvement (b) Recommend how ideas can be further developed and improved |
Rise above | Generative AI can enable students to relate ideas and discourse with content beyond existing environments, to connect to other peers’ work, theories, or principles |
Constructive use of authoritative sources | Generative AI can suggest novel ways for students to explore related ideas while pursuing similar lines of inquiry that are drawn from established sources (including other discourse external to the learning context) |
Embedded, concurrent & transformative assessment | Generative AI can synchronously prompt students during discourse to reflect on their ideas and suggest criteria to evaluate peers’ ideas and discourse |