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ERIC Number: EJ1103710
Record Type: Journal
Publication Date: 2016
Pages: 18
Abstractor: As Provided
ISSN: ISSN-0144-3410
Statistical Classification for Cognitive Diagnostic Assessment: An Artificial Neural Network Approach
Cui, Ying; Gierl, Mark; Guo, Qi
Educational Psychology, v36 n6 p1065-1082 2016
The purpose of the current investigation was to describe how the artificial neural networks (ANNs) can be used to interpret student performance on cognitive diagnostic assessments (CDAs) and evaluate the performances of ANNs using simulation results. CDAs are designed to measure student performance on problem-solving tasks and provide useful diagnostic information about cognitive skill acquisition. But for CDA to realise its potential as a formative testing method, substantial progress must be made in the development of cognitive models that characterise students' knowledge structures and processes skills, the construction of high-quality test items that precisely measure the nature of the knowledge and skills as specified in the cognitive models, as well as the advancement of psychometric techniques that allow us to accurately interpret student performance. The current investigation focuses on the third component as we examine the use of ANNs as a powerful nonparametric statistical method for diagnostic classification.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A