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Identifying Misconceptions with Active Recall in a Blended Learning System

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Data Driven Approaches in Digital Education (EC-TEL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10474))

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Abstract

Active recall is a pedagogical technique that improves learning. In this paper we investigate a second benefit of active recall: its use to identify student misconceptions, early on, even before students first solve quizzes, assignments, or exams. We describe our approach to collect recall statements in a blended learning system and perform a small pilot study which shows that using active recall in a programming course can uncover rich sets of student misconceptions about programming.

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Notes

  1. 1.

    https://informa.inf.usi.ch/, https://bitbucket.org/hauswirth/informamastery.

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Correspondence to Matthias Hauswirth .

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Hauswirth, M., Adamoli, A. (2017). Identifying Misconceptions with Active Recall in a Blended Learning System. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_36

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  • DOI: https://doi.org/10.1007/978-3-319-66610-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66609-9

  • Online ISBN: 978-3-319-66610-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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