Exploring the working and effectiveness of norm-model feedback in conceptual modelling: a preliminary report

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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.
Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publication22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021 : proceedings
EditorsI Roll, D. McNamara, S. Sosnovsky, R. Luckin, V. Dimitrova
PublisherSpringer
Pages325-330
VolumeLNCS 12749
EditionII
ISBN (Electronic)9783030782702
ISBN (Print)9783030782696
DOIs
Publication statusPublished - 12 Jun 2021
EventArtificial Intelligence in Education: 22nd International Conference - Utrecht, Netherlands
Duration: 14 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Artificial Intelligence

Conference

ConferenceArtificial Intelligence in Education
Abbreviated titleAIED 2021
Country/TerritoryNetherlands
CityUtrecht
Period14/06/2118/06/21

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