Rating learning object quality with distributed bayesian belief networks: The why and the how

Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005

Volumn 2005, Issue , 2005, Pages 685-687

  Kumar, Vive ^a   Nesbit, John ^a   Han, Kate ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; QUALITY ASSURANCE; USER INTERFACES;

BAYESIAN BELIEF NETWORK (BBN); OBJECT QUALITY; OBJECT REPOSITORIES; QUALITY EVALUATION;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 33749060939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICALT.2005.230     Document Type: Conference Paper

References (7)

1. D. Wiley (Ed.), The instructional use of learning objects (Association for Educational Communications and Technology, 2001).
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3. J. Nesbit, K. Belfer, & J. Vargo, A convergent participation model for evaluation of learning objects. Canadian Journal of Learning and Technology, 28 (3), 2002, 105-120.
4. J. Vargo, J. Nesbit, K. Belfer & A. Archambault, Learning object evaluation: Computer mediated collaboration and inter-rater reliability. International Journal of Computers and Applications, 25 (3), 2003, 198-205.
5. Han K.N., Kumar V.S., Nesbit J.C., Rating learning object quality using Bayesian Belief Networks, ED-MEDIA, Lugano, Switzerland, 2004.
6. Han K.N., Learning Object Quality Rating using Bayesian Belief Networks, Masters Dissertation, Simon Fraser University, Surrey Campus, Canada.
7. R.H.Dodier. Unified prediction and diagnosis in engineering systems by means of distributed belief networks, PhD dissertation, University of Colorado, Boulder, 1999.