Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions

Jiaqi Wang, Hua Shen, Chacha Chen, Frank Ritter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

With the prevalence of the COVID-19 pandemic, most students study remotely online, which can unleash the benefits of massive open online course (MOOC) platforms. MOOC platforms offer various advantages over traditional education. Still, it is inevitable that there still remain significant challenges that hamper the development and popularity of MOOCs. Interactions and collaborated learning remain as vital weaknesses. In this paper, we are interested in improving MOOC interactions by investigating learners' experience with current popular MOOC platforms starting with a survey. We also conducted a task analysis on three popular MOOC platforms, Coursera, LinkedIn Learning, and Canvas, to analyze whether and how they include key interaction functions. We found that learner-instructor and teamwork interaction affect users' experience most. Based on our findings, we propose a set of comprehensive guidelines, called IN-MOOC, to facilitate interpersonal interactions on MOOC platforms. In summary, IN-MOOC provides comprehensive and hierarchical guidelines to improve users' experience via enhancing interpersonal interaction on MOOC platforms.

Original languageEnglish (US)
Title of host publication5th Asian CHI Symposium 2021
EditorsJosh B. Tedjasaputra, Briane Paul V. Samson, Masitah Ghazali, Eunice Sari, Eunice Sari, Sayan Sarcar, Dilrukshi Gamage, Yohannes Kurniawan
PublisherAssociation for Computing Machinery, Inc
Pages215-220
Number of pages6
ISBN (Electronic)9781450382038
DOIs
StatePublished - May 8 2021
Event5th Asian CHI Symposium 2021 - Virtual, Online, Japan
Duration: May 7 2021May 8 2021

Publication series

Name5th Asian CHI Symposium 2021

Conference

Conference5th Asian CHI Symposium 2021
Country/TerritoryJapan
CityVirtual, Online
Period5/7/215/8/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems
  • Software

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