Detecting Patterns of Dynamic Teacher-Learner Interactions in Online Adult Learning through a Dynamic Systems Approach

Yohei Kato, Michael Tscholl, Elske Kunnen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

This study investigated dynamic teacher-learner interaction patterns in the context of adult online learning. The significance of this study is that it shows the applicability of dynamic systems approach in research on online adult learning. We employ a dynamic systems approach method, the State Space Grid, to capture dynamic interaction patterns between a teacher and learners. Results showed that the interaction patterns and their characteristics were distinct in each experimental class, but results also indicated that some interaction patterns were recurrent over the course. Research implications are briefly discussed.
Original languageEnglish
Title of host publicationProceedings of the 2018 International Learning Sciences Conference (ICLS2018)
EditorsRose Luckin, Judy Kay
Place of PublicationNewark, NJ, USA
PublisherLawrence Erlbaum Associates
Pages1395-1397
Number of pages3
Volume3
Publication statusPublished - 23-Jun-2018

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