Analyzing Student Response Processes to Evaluate Success on a Technology-Based Problem-Solving Task

Autor/inn/en	Han, Yuting; Wilson, Mark
Titel	Analyzing Student Response Processes to Evaluate Success on a Technology-Based Problem-Solving Task
Quelle	In: Applied Measurement in Education, 35 (2022) 1, S.33-45 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Han, Yuting) ORCID (Wilson, Mark)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1080/08957347.2022.2034821
Schlagwörter	Technology Uses in Education; Problem Solving; 21st Century Skills; Evaluation Methods; Data Collection; Data Processing + Suchen Sie Ihr Suchwort? Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Problemlösen; Data capture; Datensammlung; Datenverarbeitung
Abstract	A technology-based problem-solving test can automatically capture all the actions of students when they complete tasks and save them as process data. Response sequences are the external manifestations of the latent intellectual activities of the students, and it contains rich information about students' abilities and different problem-solving strategies. This study adopted the mixture Rasch measurement models (MRMs) in analyzing the success of technology-based tasks while automatically classifying the different response patterns based on the characteristics of the response process. The "Olive Oil" task from the Assessment and Teaching of 21st Century Skills project (ATC21S) is taken as an example to illustrate the use of MRMs and the interpretation of the process data. (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01