A framework to analyze logs of coderunnder for improving programming education

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

Abstract

We propose a framework to analyze logs of CodeRunner, a moodle plugin for automatic evaluation of students' programming assignments. Our framework can accumulate students' programming attempts for each specific problem, which enables teachers to observe how students fail to solve and to design better problems by analyzing the logs.

Original languageEnglish
Title of host publication8th International Conference on Educational Technologies 2021, ICEduTech 2021 and 17th International Conference on Mobile Learning 2021, ML 2021
PublisherIADIS Press
Pages269-270
Number of pages2
ISBN (Electronic)9781713830733
Publication statusPublished - 2021
Event8th International Conference on Educational Technologies 2021, ICEduTech 2021 and 17th International Conference on Mobile Learning 2021, ML 2021 - Virtual, Online
Duration: Mar 3 2021Mar 5 2021

Publication series

Name8th International Conference on Educational Technologies 2021, ICEduTech 2021 and 17th International Conference on Mobile Learning 2021, ML 2021

Conference

Conference8th International Conference on Educational Technologies 2021, ICEduTech 2021 and 17th International Conference on Mobile Learning 2021, ML 2021
CityVirtual, Online
Period3/3/213/5/21

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Education
  • Media Technology

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