1) Individualised instruction: Teachers may no longer need to provide extensive materials (videos, texts, ...). In the preparation phase, students can ask the AI bot to explain concepts to them: "Please explain the five essential aspects of X." [...] (2/x)
"I didn't quite understand aspect 3. Can you please explain it in more detail?" When chatbots also let avatars speak (as at synthesia.io, for example), we are not far away from individualised explanatory videos created on demand. (3/x)
2) Individualised feedback: We are getting closer to the pedagogical dream of students receiving fully automated feedback on individual solutions. (4/x)
They upload their solution (which, for example, has been created in the face-2-face session) and the chatbot tells them what mistakes they made and how they can improve. (5/x)
However, this will probably initially only be feedback at the task level (and not at the process or self-regulation level, see Hattie and Timperley, 2007). (6/x)
These ideas cannot yet be implemented satisfactorily with the current tools. ChatGPT, for example, still makes too many errors. However, it is foreseeable that this will change. (7/x)
The exciting question will be to what extent content-independent chatbots will be helpful and at what point special (AI) tools will be necessary.
Do you have any other ideas for using AI chatbots in the flipped classroom? (8/x)
References: Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81–112.
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