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Analyzing the log patterns of adult learners in LMS using learning analytics

Published:24 March 2014Publication History

ABSTRACT

In this paper, we describe a process of constructing proxy variables that represent adult learners' time management strategies in an online course. Based upon previous research, three values were selected from a data set. According to the result of empirical validation, an (ir)regularity of the learning interval was proven to be correlative with and predict learning performance. As indicated in previous research, regularity of learning is a strong indicator to explain learners' consistent endeavors. This study demonstrates the possibility of using learning analytics to address a learner's specific competence on the basis of a theoretical background. Implications for the learning analytics field seeking a pedagogical theory-driven approach are discussed.

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    • Published in

      cover image ACM Other conferences
      LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
      March 2014
      301 pages
      ISBN:9781450326643
      DOI:10.1145/2567574

      Copyright © 2014 ACM

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      Publication History

      • Published: 24 March 2014

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      LAK '14 Paper Acceptance Rate13of44submissions,30%Overall Acceptance Rate236of782submissions,30%

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