ERIC Number: EJ1030422
Record Type: Journal
Publication Date: 2014
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1066-8926
EISSN: N/A
Available Date: N/A
Adjunct Faculty Characteristics that May Predict Intention to Integrate Technology into Instruction
Paver, Jonathan; Walker, David A.; Hung, Wei-Chen
Community College Journal of Research and Practice, v38 n10 p859-872 2014
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.
Descriptors: 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
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education; Two Year Colleges
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
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Author Affiliations: N/A