Learning Technologies Students’ MA Report/Dissertation Database

This database allows you to view the abstracts of dissertations and master reports written by students who have graduated from the Learning Technologies Program at The University of Texas at Austin.

Learner-Learner Interaction in MOOCs: A Literature Review

Author: Jia Qingyuan
Year Published: 2022

Advisor

  • Dr. Min Liu

Co-supervisor

  • Dr. Jason Rosenblum

Degree

  • Masters

Abstract

The emergence and development of Massive Open Online Courses (MOOCs) has provided access to countless learning resources globally. Although many researchers have investigated the effect of interaction between students’ learning experiences and outcomes, there is still a lack of studies on the factors impacting learner-learner (L-L) interaction and ways to promote L-L interaction in MOOCs. Through a systematic review of relevant articles on L-L interaction in MOOCs, this report synthesizes the factors related to L-L interaction, and methods for improvement, in MOOCs. A total of fourteen peer-reviewed journal articles published in the past ten years were included. The findings indicate that learners’ backgrounds and competencies, course designs, activity levels, and discussion content affected L-L interaction. In addition, methods related to peer-review and discussion can be implemented. The report also proposes some suggestions for course design and future research.

Advisors

  • Dr. Joan Hughes
  • Dr. Min Liu
  • Dr. Paul Resta

Degrees

  • Doctoral
  • Masters

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