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

  • Authors:
  • Il-Hyun Jo;Dongho Kim;Meehyun Yoon

  • Affiliations:
  • Ewha Womans University, Seoul, South Korea;University of Georgia, Athens, GA;Ewha Womans University, Seoul, South Korea

  • Venue:
  • Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

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.