Exploring the Working and Effectiveness of Norm-Model Feedback in Conceptual Modelling – A Preliminary Report

Authors
Publication date 2021
Host editors
  • I. Roll
  • D. McNamara
  • S. Sosnovsky
  • R. Luckin
  • V. Dimitrova
Book title Artificial Intelligence in Education
Book subtitle 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021 : proceedings
ISBN
  • 9783030782696
ISBN (electronic)
  • 9783030782702
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
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
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
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