Document Detail


Item difficulty in the evaluation of computer-based instruction: An example from neuroanatomy.
MedLine Citation:
PMID:  22231801     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This article reports large item effects in a study of computer-based learning of neuroanatomy. Outcome measures of the efficiency of learning, transfer of learning, and generalization of knowledge diverged by a wide margin across test items, with certain sets of items emerging as particularly difficult to master. In addition, the outcomes of comparisons between instructional methods changed with the difficulty of the items to be learned. More challenging items better differentiated between instructional methods. This set of results is important for two reasons. First, it suggests that instruction may be more efficient if sets of consistently difficult items are the targets of instructional methods particularly suited to them. Second, there is wide variation in the published literature regarding the outcomes of empirical evaluations of computer-based instruction. As a consequence, many questions arise as to the factors that may affect such evaluations. The present article demonstrates that the level of challenge in the material that is presented to learners is an important factor to consider in the evaluation of a computer-based instructional system. Anat Sci Educ. © 2011 American Association of Anatomists.
Authors:
Julia H Chariker; Farah Naaz; John R Pani
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-9
Journal Detail:
Title:  Anatomical sciences education     Volume:  -     ISSN:  1935-9780     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-1-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101392205     Medline TA:  Anat Sci Educ     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 American Association of Anatomists.
Affiliation:
Visual Cognition Laboratory, Department of Psychological and Brain Sciences, College of Art and Sciences, University of Louisville, Louisville, Kentucky. julia.chariker@louisville.edu.
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