Exploring the Working and Effectiveness of Norm-Model Feedback in Conceptual Modelling – A Preliminary Report
| Authors |
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| Publication date | 2021 |
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| Book title | Artificial Intelligence in Education |
| Book subtitle | 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021 : proceedings |
| ISBN |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | 22nd International Conference on Artificial Intelligence in Education |
| Volume | Issue number | II |
| Pages (from-to) | 325-330 |
| Number of pages | 6 |
| Publisher | Cham: Springer |
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| Abstract | Having learners (K7–10) acquire system thinking skills is challenging. Together with teachers we deploy qualitative representations of complex systems to enable this learning process. Teachers select their own topics for their leaners to work on which makes that lessons vary in content depending on the teacher’s preference. Within this setting we face the challenge of adequately coaching learners while they create their knowledge models. For this, we use norm-model based feedback, ignoring learner specific information. Here we report the working and effectiveness of this approach. |
| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-030-78270-2_58
(Final published version)
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