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AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling

Conati, C; Porayska-Pomsta, KK; Mavrikis, M; (2018) AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. In: Lang, J, (ed.) Third Annual Workshop on Human Interpretability in Machine Learning (WHI 2018). (pp. pp. 21-27). Green open access

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Abstract

Interpretability of the underlying AI representations is a key raison d'\^{e}tre for Open Learner Modelling (OLM) - a branch of Intelligent Tutoring Systems (ITS) research. OLMs provide tools for 'opening' up the AI models of learners' cognition and emotions for the purpose of supporting human learning and teaching. Over thirty years of research in ITS (also known as AI in Education) produced important work, which informs about how AI can be used in Education to best effects and, through the OLM research, what are the necessary considerations to make it interpretable and explainable for the benefit of learning. We argue that this work can provide a valuable starting point for a framework of interpretable AI, and as such is of relevance to the application of both knowledge-based and machine learning systems in other high-stakes contexts, beyond education.

Type: Proceedings paper
Title: AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling
Event: Third Annual Workshop on Human Interpretability in Machine Learning (WHI 2018), 14 July 2018 Stockholm, Sweden
Location: Stockholm
Dates: 13 July 2018 - 19 July 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: https://arxiv.org/html/1807.01308
Language: English
Additional information: Copyright by the author(s). This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10051833
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