Graduation Year

2016

Document Type

Thesis

Degree

Ed.D.

Degree Name

Doctor of Education (Ed.D.)

Degree Granting Department

Adult, Career and Higher Education

Major Professor

Waynne B. James, Ed.D.

Committee Member

Jeffrey Kromrey, Ph.D.

Committee Member

William H. Young, Ph.D.

Committee Member

Ann Cranston-Gingras, Ph.D.

Keywords

graduate school, higher education, personal computing, touch screen devices

Abstract

The purpose of this study was to explore graduate student perceptions of use and the ease of use of multi-modal tablets to access electronic course materials, and the perceived differences based on students’ gender, age, college of enrollment, and previous experience.

This study used the Unified Theory of Acceptance and Use of Technology to identify the constructs that may explain a graduate student’s intention to use a multi-modal tablet in graduate course work. This study administered the UTAUT to 224 graduate students from four different colleges at a regional university. The models developed from the UTAUT explained 80% of the variability in Behavioral Intention values and 55% of the reported Use values. The results of the study showed that only Performance Expectancy, Social Influence, Hedonic Motivation, and Habit showed significance in explaining Behavioral Intention. Performance Expectancy, Hedonic Motivation, and Habit also showed moderately strong to strong correlations with Behavioral Intention. The regression analysis revealed a positive significant relationship with reported Use and Habit and reported Use and Behavioral Intention. Habit and Behavioral Intention both had strong correlations with reported Use. Habit affects the relationship of Performance Expectancy and Behavioral Intention. Habit, Price Value, or Hedonic Motivation did not have a significant affect on the relationship between Behavioral Intention and Effort Expectancy or Behavioral Intention and Social Influence.

When trying to explain a graduate student’s intention to use a multi-modal tablet, only Performance Expectancy, Habit, Social Influence, Hedonic Motivation, and Previous Experience appeared to sufficiently explain whether a student intends to adopt the device.

Across age groups, intention to use the tablet device does not vary by age in this study. There were no differences in Behavioral Intention among groups by college enrollment. Individuals with more experience using a tablet, as measured in years, have a higher predicted intention to use the tablet in the future than individuals with no previous experience using a tablet. Individuals with 5 or more years using a multi-modal tablet have a higher intention to use the device than those with less than 3 years experience. The results of this study support the concept that Habit is the strongest predictor of Use in the framework.

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