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2017 | OriginalPaper | Chapter

7. A Priori Knowledge in Learning Analytics

Author : Jean Simon

Published in: Learning Analytics: Fundaments, Applications, and Trends

Publisher: Springer International Publishing

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Abstract

Learning Analytics (LA) can be data driven: the process is oriented essentially by data and not according to a theoretical background. In this case, results can be, sometimes, not exploitable. This is the reason why some LA processes are theory driven: based on A Priori Knowledge (APK), on a theoretical background. Here, we investigate the relationship between APK and LA. We propose a “2-level framework” that considers LA as a level 2 learning process and includes five components: stakeholders, goals, data, technical approaches and feedbacks. Based on this framework, a sample of LA related works is analyzed to exhibit how such works relate LA with APK. We show that most of the time the APK used for LA is the learning theory sustaining the student’s learning. However, it can be otherwise and, according to the goal of LA, it is sometimes fruitful to use another theory.

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previous chapter Overcoming the MOOC Data Deluge with Learning Analytic Dashboards

next chapter Knowledge Discovery from the Programme for International Student Assessment

https://epress.lib.uts.edu.au/journals/index.php/JLA/issue/view/358.

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Title: A Priori Knowledge in Learning Analytics
Author: Jean Simon
Publisher: Springer International Publishing
Book: Learning Analytics: Fundaments, Applications, and Trends
Print ISBN: 978-3-319-52976-9

Electronic ISBN: 978-3-319-52977-6

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-52977-6_7

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