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Identifying The Barriers Contributing To Faculty Adoption Of Learner Analytics Technology In Higher Education

Abstract Details

2019, Master of Education (MEd), Bowling Green State University, Learning Design.
The purpose of this study was to examine faculty use of learner analytics technology in higher education from an instructional design perspective. This study identified the source of resistance to the use of such technology by faculty in higher education and deployed an instructional design training program increasing use by that population. There were three major steps in this study. First, the researcher needed to identify if barriers to adoption exist. To do so, the researcher created and distributed the SSC Faculty Mentor Survey to faculty who work as mentors and advisors to undergraduate students. The researcher utilized Qualtrics to create and deliver the survey electronically to faculty via their institutional email. The researcher then reviewed and analyzed the data to identify barriers to adoption and develop an instructional design training program to remove barriers and increase adoption. The second step in the study was to deliver training to faculty. During this step, the researcher relied upon the Theory of Andragogy and the Technology Acceptance Model to develop the training materials and delivery method. Upon completion of the training program, the researcher distributed the Training Evaluation to participants, which gathered data predicting their behavioral response to training and measuring intention to use learner analytics technology. In the final stage of the study, the researcher created and distributed the SSC Follow Up survey, via Qualtrics, to faculty who completed training. Data gathered through the survey measured actual use of the technology as a result of receiving training. Data gathered throughout each phase of the research study indicated a positive correlation between faculty participation in training and an increase in adoption rates.
Donna Trautman , Ph.D. (Advisor)
Shelley Moore, Ph.D. (Committee Member)
112 p.

Recommended Citations

Citations

  • Meyer, K. L. (2019). Identifying The Barriers Contributing To Faculty Adoption Of Learner Analytics Technology In Higher Education [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1561631261761151

    APA Style (7th edition)

  • Meyer, Kelsey. Identifying The Barriers Contributing To Faculty Adoption Of Learner Analytics Technology In Higher Education . 2019. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1561631261761151.

    MLA Style (8th edition)

  • Meyer, Kelsey. "Identifying The Barriers Contributing To Faculty Adoption Of Learner Analytics Technology In Higher Education ." Master's thesis, Bowling Green State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1561631261761151

    Chicago Manual of Style (17th edition)