On the number of attempts students made on some online programming exercises during semester and their subsequent performance on final exam questions

Alireza Ahadi, Raymond Lister, Arto Vihavainen

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

10 Citations (Scopus)

Abstract

This paper explores the relationship between student performance on online programming exercises completed during semester with subsequent student performance on a final exam. We introduce an approach that combines whether or not a student produced a correct solution to an online exercise with information on the number of attempts at the exercise submitted by the student. We use data collected from students in an introductory Java course to assess the value of this approach. We compare the approach that utilizes the number of attempts to an approach that simply considers whether or not a student produced a correct solution to each exercise. We found that the results for the method that utilizes the number of attempts correlates better with performance on a final exam.

Original languageEnglish
Title of host publicationITiCSE 2016
Subtitle of host publicationProceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages218-223
Number of pages6
ISBN (Electronic)9781450342315
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2016 - Arequipa, Peru
Duration: 11 Jul 201613 Jul 2016

Conference

Conference2016 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2016
CountryPeru
CityArequipa
Period11/07/1613/07/16

Keywords

  • educational data mining
  • learning analytics
  • programming

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