Development of a Problem-Based Learning Matrix for Data Collection

Autor/in	Sipes, Shannon M.
Titel	Development of a Problem-Based Learning Matrix for Data Collection
Quelle	In: Interdisciplinary Journal of Problem-based Learning, 11 (2017) 1, Artikel 2 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1541-5015
DOI	10.7771/1541-5015.1615
Schlagwörter	Data Collection; Problem Based Learning; Program Development; Test Construction; Coding; Classification; Engineering Education; Content Analysis; Models; Taxonomy; Problem Sets; Higher Education; Indiana + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Problem-based learning; Problemorientiertes Lernen; Programmplanung; Testaufbau; Codierung; Programmierung; Classification system; Klassifikation; Klassifikationssystem; Ingenieurausbildung; Inhaltsanalyse; Analogiemodell; Taxonomie; Problemstellung; Hochschulbildung; Hochschulsystem; Hochschulwesen
Abstract	Few of the papers published in journals and conference proceedings on problem-based learning (PBL) are empirical studies, and most of these use self-report as the measure of PBL (Beddoes, Jesiek, & Borrego, 2010). The current study provides a theoretically derived matrix for coding and classifying PBL that was objectively applied to official curriculum documentation in a content analysis. The results for the level of problem-based learning in two engineering program curricula are presented. By introducing such a matrix, this study offers a tool that can be applied by other scholars examining PBL, creating consistency in methodology, definitions, and language among scholars. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01