Dissertation/Thesis Abstract

Predicting Undergraduate Student Course Success in a Lecture Capture Quantitative Methods Course
by Sweet, Jonathan A., Ph.D., Florida Atlantic University, 2018, 263; 10791016
Abstract (Summary)

The purpose of this study was to develop a methodological approach using secondary data that researchers, faculty, and staff can utilize to assess student course performance and to identify the input and course environment factors that best predict student course success in an undergraduate lecture capture quantitative methods course. Using the Astin and Antonio (2012) Input Environment and Outcome (IEO) Model as a framework, this quantitative study examined both input variables that students bring to a course as well as the course environment factors that students experience in the course. Three secondary data sources were utilized and analyzed using descriptive and multi-variate statistics.

The findings revealed that students with higher levels of student course engagement and academic self-concept were more likely to achieve student course success in this lecture capture quantitative methods course. In addition, prior University GPA along with live-class attendance, discussion board posts, and course quiz and exam scores were the strongest predictors of student course success.

The largest implication from this study was the methodological approach developed to identify factors that predicted student course success. This approach can be used to help faculty identify course-embedded measures for assessment as well as develop Keys for Success to help future students succeed in difficult courses. While this study added significantly to the limited research on lecture capture courses, future research should further explore qualitative aspects of the course, such as motivation and student video-viewing behaviors, as well as additional impacts on physical attendance in lecture capture courses.

Indexing (document details)
Advisor: DeDonno, Michael
Commitee: Mountford, Meredith, Santos Laanan, Frankie, Schindlbeck, Mary
School: Florida Atlantic University
Department: Educational Leadership
School Location: United States -- Florida
Source: DAI-A 79/10(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Educational leadership, Business education, Educational technology, Higher education
Keywords: Academic self-concept, Course success, Distance learning, Lecture capture, Quantitative methods, Student course engagement
Publication Number: 10791016
ISBN: 9780438011700
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