NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1215053
Record Type: Journal
Publication Date: 2019-May
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1560-4292
EISSN: N/A
A Data-Based Simulation Study of Reliability for an Adaptive Assessment Based on Knowledge Space Theory
Doble, Christopher; Matayoshi, Jeffrey; Cosyn, Eric; Uzun, Hasan; Karami, Arash
International Journal of Artificial Intelligence in Education, v29 n2 p258-282 May 2019
A large-scale simulation study of the assessment effectiveness of a particular instantiation of knowledge space theory is described. In this study, data from more than 700,000 actual assessments in mathematics using the ALEKS (Assessment and LEarning in Knowledge Spaces) software were used to determine response probabilities for the same number of simulated assessments, for the purpose of examining reliability. Several measures of reliability were examined, borrowed from existing psychometric approaches, with an eye toward developing measures for evaluating reliability for adaptive assessments. The results are compared to analogous results for assessments having mathematics content overlapping that of the ALEKS assessment, and some consequences and future directions are discussed.
Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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