ERIC Number: EJ1360292
Record Type: Journal
Publication Date: 2022
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2332-8584
The Use of Cognitive Diagnostic Modeling in the Assessment of Computational Thinking
Li, Tingxuan; Traynor, Anne
AERA Open, v8 n1 Jan-Dec 2022
Computational thinking (CT) is a set of cognitive skills that every child should acquire. K-12 classrooms are expected to provide students opportunities (tasks) to think computationally. We introduce a CT competency assessment for middle school students. The assessment design process started by establishing a cognitive model of CT domain mastery, in which three broad skill types were identified to represent CT competency. After multiple-choice item prototypes were written, pilot tested, and revised, 15 of them were finally selected to be administered to 564 students in two middle schools in the Midwestern United States. Using a cognitive diagnostic scoring model, mastery classifications for each student were determined that can be used diagnostically by teachers as a pretest and, perhaps in the future, to compare the outcomes of CT instructional programs. The results inform an initial understanding of typical learning progressions in CT at the middle school level.
Descriptors: Cognitive Measurement, Computation, Thinking Skills, Problem Solving, Psychometrics, Middle School Students, Diagnostic Tests, Models, Learning Trajectories
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Related Records: ED636346
Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A