A statistical analysis of student performance in online computer science courses

Merry McDonald, Brian Dorn, Gary McDonald

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations

Abstract

During the past few years the number of courses offered online has greatly increased as technology has made delivery of such courses feasible. This paper discusses the experiences of the authors in teaching online courses for upper-division computer science students and reports results of a study comparing success of students in online courses to students in traditional courses.

Original languageEnglish (US)
Pages (from-to)71-74
Number of pages4
JournalSIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)
Volume36
Issue number1
DOIs
StatePublished - Mar 2004
Externally publishedYes
Event35th SIGCSE Technical Symposium on Computer Science Education - Norfolk, VA, United States
Duration: Mar 3 2004Mar 7 2004

Keywords

  • Course delivery methodology
  • Distance learning
  • Online learning

ASJC Scopus subject areas

  • Software
  • Food Science
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'A statistical analysis of student performance in online computer science courses'. Together they form a unique fingerprint.

Cite this