Incorporating an intelligent tutoring system into CS1

Leen Kiat Soh

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

10 Scopus citations

Abstract

Intelligent tutoring systems (ITSs) have been used to complement classroom instruction in recent years, and have been shown to facilitate learning. We incorporate an ITS named Intelligent Learning Materials Delivery Agent (ILMDA) into our CS1 course and collect evidence to validate two hypotheses: (1) The ITS improves student learning, (2) The ITS "learns" to tutor the students more efficiently and/or effectively. Our method of inquiry includes collecting data tracked while a student interacts with the ITS, post-test scores, and exam scores. We also use control and treatment groups, as well as different versions of the ILMDA in our experiments. Based on the results, we see indications that support the above two hypotheses.

Original languageEnglish (US)
Title of host publicationProceedings of the Thirty-Seventh SIGCSE Technical Symposium on Computer Science Education
Pages486-490
Number of pages5
DOIs
StatePublished - 2007
Event37th SIGCSE Technical Symposium on Computer Science Education - Houston, TX, United States
Duration: Mar 1 2006Mar 5 2006

Publication series

NameProceedings of the Thirty-Seventh SIGCSE Technical Symposium on Computer Science Education

Conference

Conference37th SIGCSE Technical Symposium on Computer Science Education
Country/TerritoryUnited States
CityHouston, TX
Period3/1/063/5/06

Keywords

  • CS1
  • Intelligent tutoring system

ASJC Scopus subject areas

  • General Computer Science
  • Education

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