Michael Knupp

Date of Award

Spring 5-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Information Systems (PhDIS)

First Advisor

Jun Liu

Second Advisor

Insu Park

Third Advisor

Mark Hawkes

Fourth Advisor

Yong Wang

Abstract

Higher education institutions (HEI) are beginning to invest heavily in learning analytics as a compliment to their existing suite of technologies used to enhance the pedagogical practices of instructors. However, learning analytics continues to see low adoption and integration by higher education faculty. While a culture of learning analytics within HEI is emerging, there is not consensus on the value and effectiveness of the tools and practices that make up the culture. With promises of reduced student dropout rates, improved student outcomes, better course pedagogy and backed by pressures of assessment and accountability, learning analytics is being trumpeted as the next best solution to our educational woes. However, despite these promises, and despite the general belief that learning analytics may have true value, instructors have been slow, if not resistant, in learning analytics adoption. More research is needed to understand factors that either threaten or enable a higher education faculty member’s willingness to adopt learning analytics.

The following paper demonstrates how the technology-pedagogy-content knowledge framework (TPACK) can be used to extend traditional technology adoption models to include professional identity expectancy in an effort to explain intention to use behavior. A quantitative analysis using SEM techniques on 222 United States based survey respondents is used to inform results. The results support effort expectancy, performance expectancy, and professional identity expectancy to be key factors of willingness to adopt learning analytics. These results may inform additional research into the influence of professional identity expectancy on technology adoption as well as research, development, and marketing opportunities within the consumer space of learning analytics tools.

Download

Share

COinS