Adjunct Faculty Characteristics that May Predict Intention to Integrate Technology into Instruction

Autor/inn/en	Paver, Jonathan; Walker, David A.; Hung, Wei-Chen
Titel	Adjunct Faculty Characteristics that May Predict Intention to Integrate Technology into Instruction
Quelle	In: Community College Journal of Research and Practice, 38 (2014) 10, S.859-872 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1066-8926
DOI	10.1080/10668926.2013.819790
Schlagwörter	Adjunct Faculty; Teacher Characteristics; Technology Integration; Prediction; Community Colleges; Demography; Teaching Experience; Intellectual Disciplines; Computer Literacy; Age Differences; Gender Differences; Predictor Variables; Measures (Individuals); Multiple Regression Analysis + Suchen Sie Ihr Suchwort? Vorhersage; Community college; Community College; Demografie; Geisteswissenschaften; Computerkenntnisse; Age; Difference; Age difference; Altersunterschied; Geschlechterkonflikt; Prädiktor; Messdaten
Abstract	This study examined the demographic factors that predict intention to integrate technology into instruction by community college adjunct faculty. Regression model findings indicated that the demographic characteristics of years of teaching experience, teaching discipline, hours of preparation time, and years of experience using computers were predictors of intention to integrate technology. Other literature-based characteristics such as age, gender, and participation in professional development activities, although not noted predictors in the current study, still warrant further examination to provide additional insight into their potential ability to predict technology use by community college adjunct faculty. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10