created, $=dv.current().file.ctime & modified, =this.modified
tags:ai
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT.
The emerging concept of hybrid intelligence also lacks deep insights and understanding of the mechanisms and consequences of hybrid human-AI learning based on strong empirical research.
- learners who received different learning support showed no difference in post-task intrinsic motivation.
- there were significant differences in the frequency and sequences of the self-regulated learning processes among groups.
- ChatGPT group outperformed in the essay score improvement, but their knowledge gain and transfer were no significantly different.
What is particularly noteworthy is that AI technologies such as ChatGPT may promote learners’ dependence on technology and potentially trigger “metacognitive laziness”. In conclusion, understanding and leveraging the respective strengths and weaknesses of different agents in learning is critical in the field of future hybrid intelligence.
It becomes essential for everyone to learn how to cooperate with AI and to capitalise on the new opportunities