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ERIC Number: EJ1043797
Record Type: Journal
Publication Date: 2014
Pages: 27
Abstractor: As Provided
ISSN: ISSN-0899 3408
A Psychometric Evaluation of the Digital Logic Concept Inventory
Herman, Geoffrey L.; Zilles, Craig; Loui, Michael C.
Computer Science Education, v24 n4 p277-303 2014
Concept inventories hold tremendous promise for promoting the rigorous evaluation of teaching methods that might remedy common student misconceptions and promote deep learning. The measurements from concept inventories can be trusted only if the concept inventories are evaluated both by expert feedback and statistical scrutiny (psychometric evaluation). Classical Test Theory and Item Response Theory provide two psychometric frameworks for evaluating the quality of assessment tools. We discuss how these theories can be applied to assessment tools generally and then apply them to the Digital Logic Concept Inventory (DLCI). We demonstrate that the DLCI is sufficiently reliable for research purposes when used in its entirety and as a post-course assessment of students' conceptual understanding of digital logic. The DLCI can also discriminate between students across a wide range of ability levels, providing the most information about weaker students' ability levels.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation
Authoring Institution: N/A
Grant or Contract Numbers: DUE-0618589; DUE-1140554