Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance

Alireza Ahadi, Raymond Lister, Heikki Haapala, Arto Vihavainen

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

Original languageEnglish
Title of host publicationICER '15 : Proceedings of the eleventh annual International Conference on International Computing Education Research
Number of pages10
Place of PublicationNew York
PublisherACM New York
Publication dateAug 2015
Pages121-130
ISBN (Print)978-1-4503-3630-7
DOIs
Publication statusPublished - Aug 2015
MoE publication typeA4 Article in conference proceedings
EventACM International Computing Education Research - Omaha, United States
Duration: 9 Aug 201513 Aug 2015
Conference number: 11 (ICER '15)

Bibliographical note

Jufo-id:70610

Fields of Science

  • detecting students in need of assistance, educational data mining, introductory programming, learning analytics, novice programmers, programming behavior, source code snapshot analysis
  • 113 Computer and information sciences

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