Empirical usage metadata in learning objects

Gwen Nugent, Kevin Kupzyk, S. A. Riley, L. D. Miller, Jesse Hostetler, Leen Kiat Soh, Ashok Samal

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

8 Scopus citations


The iLOG Project (Intelligent Learning Object Guide) is designed to augment multimedia learning objects with information about (1) how a learning object has been used, (2) how it has impacted instruction and learning, and (3) how it should be used. The goal of the project is to generate metadata tags from data collected while students interact with learning objects; these metadata tags can then be used to help teachers identify learning objects that match the educational and experiential backgrounds of their students. The project involves the development of an agent-based intelligent system for tracking student interaction with learning objects, in tandem with an extensive learning research agenda. This paper provides an overview of this NSF-funded project, focusing on the instructional approach and research on varying levels of active learning and feedback. Using a randomized design and a hierarchical linear modeling framework, research showed that the active learning conditions resulted in significantly higher student learning. The elaborative feedback results approached (p = .056), but did not reach, the established significance criteria of alpha = .05. Both active learning conditions and one of the elaborative feedback conditions resulted in significantly higher content assessment scores compared to a control group.

Original languageEnglish (US)
Title of host publication39th Annual Frontiers in Education Conference
Subtitle of host publicationImagining and Engineering Future CSET Education, FIE 2009
StatePublished - 2009
Event39th Annual Frontiers in Education Conference: Imagining and Engineering Future CSET Education, FIE 2009 - San Antonio, TX, United States
Duration: Oct 18 2009Oct 21 2009

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


Other39th Annual Frontiers in Education Conference: Imagining and Engineering Future CSET Education, FIE 2009
Country/TerritoryUnited States
CitySan Antonio, TX


  • Active learning
  • Computer science education
  • Feedback
  • Learning objects

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications


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