Automatic content related feedback for MOOCs based on course domain ontology

Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea

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

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Abstract

MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera show the potential of our approach in creating a responsive learning environment.
Original languageEnglish
Title of host publicationIntelligent data engineering and automated learning – IDEAL 2014
Subtitle of host publication15th International Conference, Salamanca, Spain, September 10-12, 2014. proceedings
Place of PublicationBerlin
PublisherSpringer
Pages27-35
ISBN (Electronic)9783319108407
ISBN (Print)9783319108391
DOIs
Publication statusPublished - 2014
EventIDEAL Conference 2014 - Salamanca, Spain
Duration: 10 Sep 201412 Sep 2014

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume8669
ISSN (Print)0302-9743

Conference

ConferenceIDEAL Conference 2014
Country/TerritorySpain
CitySalamanca
Period10/09/1412/09/14

Keywords

  • automatic feedback
  • topic detection
  • ontologies
  • clustering
  • MOOCS

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