Measuring Active Learning to Predict Course Quality

Autor/inn/en	Taylor, John E.; Ku, Heng-Yu
Titel	Measuring Active Learning to Predict Course Quality
Quelle	In: Performance Improvement Quarterly, 24 (2011) 1, S.31-48 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0898-5952
DOI	10.1002/piq.20104
Schlagwörter	Learner Engagement; Instructional Design; Course Evaluation; Predictor Variables; Active Learning; Correlation; Educational Quality; Computer Assisted Instruction; Measurement Objectives; Measurement Techniques; Cognitive Processes; Corporate Education; Industrial Training; Program Effectiveness + Suchen Sie Ihr Suchwort? Lesson concept; Lessonplan; Unterrichtsentwurf; Prädiktor; Aktives Lernen; Korrelation; Quality of education; Bildungsqualität; Computer based training; Computerunterstützter Unterricht; Messtechnik; Cognitive process; Kognitiver Prozess; Betriebliche Berufsausbildung; Gewerblich-industrielle Ausbildung; Industriebetriebslehre
Abstract	This study investigated whether active learning within computer-based training courses can be measured and whether it serves as a predictor of learner-perceived course quality. A major corporation participated in this research, providing access to internal employee training courses, training representatives, and historical course evaluation data. Twenty sample courses were subdivided into 1,884 time-based instructional events and categorized by eight design principles for learner engagement: attend, organize, recall, practice, interact, apply, explore, and absorb. This analysis produces a quantitative pattern for the cognitive activity a course encourages within the learner, summarized as the active learning index. A regression model, with the active learning index as a predictor variable for learner-perceived course quality, resulted in a correlation coefficient of 0.83 (r[superscript 2] = 0.69) and a "p"-value less than 0.0001. These results suggest a framework for quantifying the active learning components in computer-based training courses and guiding the work of instructional designers toward higher-quality courses. (Contains 2 figures and 2 tables.) (As Provided).
Anmerkungen	John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030-5774. Tel: 800-825-7550; Tel: 201-748-6645; Fax: 201-748-6021; e-mail: subinfo@wiley.com; Web site: http://www3.interscience.wiley.com/journal/117865970/home
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10