A Bayesian Network Approach to Modeling Learning Progressions and Task Performance. CRESST Report 776

Autor/inn/en	West, Patti; Rutstein, Daisy Wise; Mislevy, Robert J.; Liu, Junhui; Choi, Younyoung; Levy, Roy; Crawford, Aaron; DiCerbo, Kristen E.; Chappel, Kristina; Behrens, John T.
Institution	National Center for Research on Evaluation, Standards, and Student Testing
Titel	A Bayesian Network Approach to Modeling Learning Progressions and Task Performance. CRESST Report 776
Quelle	(2010), (34 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Bayesian Statistics; Computer Networks; Evidence; Learning Processes; Performance Based Assessment; Information Technology; Correlation; Models + Suchen Sie Ihr Suchwort? Computernetz; Computernetze; Kommunikationsnetz; Evidenz; Learning process; Lernprozess; Leistungsermittlung; Informationstechnologie; Korrelation; Analogiemodell
Abstract	A major issue in the study of learning progressions (LPs) is linking student performance on assessment tasks to the progressions. This report describes the challenges faced in making this linkage using Bayesian networks to model LPs in the field of computer networking. The ideas are illustrated with exemplar Bayesian networks built on Cisco Networking Academy LPs and tasks designed to obtain evidence in their terms. We briefly discuss challenges in the development of LPs, and then move to challenges with the implementation of Bayesian networks, including selection of the method, issues of model fit and confirmation, and grainsize. We conclude with a discussion of the challenges we face in ongoing work. IP Addressing Skills Progression is appended. (Contains 2 tables, 11 figures and 1 footnote.) (As Provided).
Anmerkungen	National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10