Summarising

From INF Wiki
Jump to navigation Jump to search

summarizing could be considered as a scaffolding strategy where the tutor supplies a summary or recap of the answer. There is however an idea that "unskilled tutors normally give a summary that recaps an answer to a question or solution to a problem. This summary serves the function of succinctly codifying a lengthy, multiturn, collaborative exchange when a question is answered or problem is solved. A skilled tutor might encourage the student to construct the summary instead of the tutor supplying one. This would promote a more active construction of knowledge on the part of the student, an activity that is known to facilitate learning.[1][2]


Example (1):

-Explainer: ['So you are already a PhD student, you know a lot about gravity, but what do you think you've taken away from this conversation?']
-Explainee: [Well, I've definitely taken away that the way that we think about gravity today is very different from how Newton thought about it, and that even though we have a very good understanding, "there's lots of things that we don't fully understand. There's still a lot of questions to be answered, which I think is really exciting.] ---> summarising
-Explainer: [ See, you're a scientist. [laughs], Isn't the best part being able to ask the questions?]
-Explainee: [ Oh yeah.]





Notes

  1. Graesser, A. C., Wiemer-Hastings, K., Wiemer-Hastings, P., Kreuz, R., & Tutoring Research Group. (1999). AutoTutor: A simulation of a human tutor. Cognitive Systems Research, 1(1), 35-51.‏
  2. Person, N. K., Graesser, A. C., Kreuz, R. J., & Pomeroy, V. (2003). Simulating human tutor dialog moves in AutoTutor. International Journal of Artificial Intelligence in Education (IJAIED), 12, 23-39.‏