INVESTIGATING STUDENT SELF-BELIEFS AND LEARNING METRICS IN ONLINE COURSEWARE: A QUANTITATIVE INQUIRY
Defense Date
2-17-2022
Graduation Date
Spring 5-14-2022
Availability
Immediate Access
Submission Type
dissertation
Degree Name
EdD
Department
Instructional Technology (EdDIT)
School
School of Education
Committee Chair
Sandra Quinones
Committee Member
Jason Ritter
Committee Member
Jesse Rine
Keywords
Mindset, self-efficacy, self-beliefs, courseware, engagement, learning outcomes, doer effect, learning engineering
Abstract
Online courseware is an emerging educational technology that has the potential to reach students at scale. Designed with cognitive and learning science principles, courseware utilizes effective methods to maximize learning outcomes for students. Mindset (implicit theories of ability) and self-efficacy are two widely researched self-belief topics which have been shown to influence student learning outcomes and self-concepts. These self-belief theories are not specific to a domain and therefore could be measured and analyzed in relation to student learning metrics from any subject. The purpose of this nonexperimental correlational research study is to investigate the relationships between student self-beliefs and key learning metrics, as collected by a courseware platform. The data analysis process used a historical data set collected from a natural learning context that included 1,896 students from three state higher education institutions. This data set was analyzed using descriptive statistics and linear regression models to answer interrelated research questions: What is the relationship between mindset and self-efficacy for students? What is the relationship between student self-beliefs and learning metrics in courseware? Results showed 79.7% of students selected growth mindset and 98.6% of students selected high self-efficacy. Neither mindset nor self-efficacy were strongly correlated to any learning metric variable. Results of the mixed effects linear regressions model showed that mindset was significant for key engagement metrics, though neither mindset nor self-efficacy were significant for summative scores. The interpretation and implication of these findings are discussed in relation to existing theory and research. Suggestions for future practice and research are also addressed to further the application of self-beliefs in courseware environments.
Language
English
Recommended Citation
Van Campenhout, R. (2022). INVESTIGATING STUDENT SELF-BELIEFS AND LEARNING METRICS IN ONLINE COURSEWARE: A QUANTITATIVE INQUIRY (Doctoral dissertation, Duquesne University). Retrieved from https://dsc.duq.edu/etd/2106
Included in
Educational Assessment, Evaluation, and Research Commons, Educational Psychology Commons, Educational Technology Commons, Higher Education Commons