Revising computer science learning objects from learner interaction data

L. D. Miller, Leen-Kiat Soh, Beth Neilsen, Erica Lam, Ashok K Samal, Kevin A Kupzyk, Gwen C Nugent

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

3 Citations (Scopus)

Abstract

Learning objects (LO) have previously been used to help deliver introductory computer science (CS) courses to students. Students in such introductory CS courses have diverse backgrounds and characteristics requiring revision to LO content and assessment to promote learning in all students. However, revising LOs in an ad hoc manner could make student learning harder for subsequent deployments. To address this problem, we present a systematic revision process for LOs (LOSRP) using proven techniques from educational research including Bloom's Taxonomy levels, item-total correlation, and Cronbach's Alpha. LOSRP uses these validation methods to answer seven questions in order to diagnose what needs to be revised in the LO. Then, LOSRP provides guidelines on revising LOs for each of the seven questions. As an example, we discuss how LOSRP was used to revise the content and assessment for 16 LOs deployed to over 400 students in introductory CS courses in 2009. Lastly, although initially designed for LO revision, we briefly discuss how LOSRP could be used for assessment revision in intelligent tutoring systems.

Original languageEnglish (US)
Title of host publicationSIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education
Pages45-50
Number of pages6
DOIs
StatePublished - Apr 19 2011
Event42nd ACM Technical Symposium on Computer Science Education, SIGCSE 2011 - Dallas, TX, United States
Duration: Mar 9 2011Mar 12 2011

Publication series

NameSIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education

Conference

Conference42nd ACM Technical Symposium on Computer Science Education, SIGCSE 2011
CountryUnited States
CityDallas, TX
Period3/9/113/12/11

Fingerprint

computer science
Computer science
Students
interaction
learning
student
Taxonomies
Intelligent systems
educational research
taxonomy

Keywords

  • Intelligent tutoring system
  • Learning objects
  • Systematic revision process

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

Cite this

Miller, L. D., Soh, L-K., Neilsen, B., Lam, E., Samal, A. K., Kupzyk, K. A., & Nugent, G. C. (2011). Revising computer science learning objects from learner interaction data. In SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education (pp. 45-50). (SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education). https://doi.org/10.1145/1953163.1953181

Revising computer science learning objects from learner interaction data. / Miller, L. D.; Soh, Leen-Kiat; Neilsen, Beth; Lam, Erica; Samal, Ashok K; Kupzyk, Kevin A; Nugent, Gwen C.

SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education. 2011. p. 45-50 (SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education).

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

Miller, LD, Soh, L-K, Neilsen, B, Lam, E, Samal, AK, Kupzyk, KA & Nugent, GC 2011, Revising computer science learning objects from learner interaction data. in SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education. SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education, pp. 45-50, 42nd ACM Technical Symposium on Computer Science Education, SIGCSE 2011, Dallas, TX, United States, 3/9/11. https://doi.org/10.1145/1953163.1953181
Miller LD, Soh L-K, Neilsen B, Lam E, Samal AK, Kupzyk KA et al. Revising computer science learning objects from learner interaction data. In SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education. 2011. p. 45-50. (SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education). https://doi.org/10.1145/1953163.1953181
Miller, L. D. ; Soh, Leen-Kiat ; Neilsen, Beth ; Lam, Erica ; Samal, Ashok K ; Kupzyk, Kevin A ; Nugent, Gwen C. / Revising computer science learning objects from learner interaction data. SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education. 2011. pp. 45-50 (SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education).
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