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Operationalizing Learning Processes Through Learning Analytics

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Applied Data Science

Part of the book series: Studies in Big Data ((SBD,volume 125))

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Abstract

Recent advances in the use of learning technologies for both in-person and distance education has enabled the collection of detailed data on learners’ access and use of resources at unprecedented levels. Simultaneously, the growth of technology use in the classroom has brought forward increased interest in the analysis and use of learner data. The field of learning analytics leverages these data with the aim to enhance understanding about and improve learning processes. The Society of Learning Analytics Research defines learning analytics as “the measurement, collection, analysis and reporting of data about learners and their context” (LAK in 1st international conference on learning analytics and knowledge, Banff, AB, Canada, 2011; SOLAR in What is learning analytics? 2021). This chapter provides an overview of leveraging learning analytics to enhance understanding and provide feedback about learning processes. We aim to offer insights into types of data used to generate learning analytics, use the research on procrastination as an example for interpreting and operationalizing learning processes through data and analytics, and offer recommendations for generating feedback about these data. We aim to offer a starting point for utilizing learning analytics and convey their potential to aid learning and pedagogical choices.

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Authors and Affiliations

  1. College of Education and Human Development, George Mason University, Fairfax, VA, USA

    Alexandra Patzak

  2. Faculty of Educational Support and Development, Kwantlen Polytechnic University, Surrey, BC, Canada

    Jovita Vytasek

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  1. Alexandra Patzak
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  2. Jovita Vytasek
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Correspondence to Alexandra Patzak .

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Editors and Affiliations

  1. Department of Statistical and Actuarial Sciences, University of Western Ontario, London, ON, Canada

    Douglas G. Woolford

  2. Faculty of Education, University of Western Ontario, London, ON, Canada

    Donna Kotsopoulos

  3. Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada

    Boba Samuels

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Patzak, A., Vytasek, J. (2023). Operationalizing Learning Processes Through Learning Analytics. In: Woolford, D.G., Kotsopoulos, D., Samuels, B. (eds) Applied Data Science. Studies in Big Data, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-031-29937-7_6

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