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Introduction of learning visualisations and metacognitive support in a persuadable open learner model

Published:25 April 2016Publication History

ABSTRACT

This paper describes open learner models as visualisations of learning for learners, with a particular focus on how information about their learning can be used to help them reflect on their skills, identify gaps in their skills, and plan their future learning. We offer an approach that, in addition to providing visualisations of their learning, allows learners to propose changes to their learner model. This aims to help improve the accuracy of the learner model by taking into account student viewpoints on their learning, while also promoting learner reflection on their learning as part of a discussion of the content of their learner model. This aligns well with recent calls for learning analytics for learners. Building on previous research showing that learners will use open learner models, we here investigate their initial reactions to open learner model features to identify the likelihood of uptake in contexts where an open learner model is offered on an optional basis. We focus on university students' perceptions of a range of visualisations and their stated preferences for a facility to view evidence for the learner model data and to propose changes to the values.

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  1. Introduction of learning visualisations and metacognitive support in a persuadable open learner model

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              cover image ACM Other conferences
              LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge
              April 2016
              567 pages
              ISBN:9781450341905
              DOI:10.1145/2883851

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              • Published: 25 April 2016

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              LAK '16 Paper Acceptance Rate36of116submissions,31%Overall Acceptance Rate236of782submissions,30%

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