Doctor of Philosophy, The Ohio State University, 2021, Educational Studies
The importance of a high school diploma continues to increase. Still, certain student at-risk factors have been identified across the research literature that negatively impact likelihood to finish school and may increase prevalence of school dropout. That is, for students identified as at-risk, more maladaptive profiles of risk factors often lead to lower academic performance. However, these risk factors are typically non-adaptive, stable constructs endemic of prior experiences or external family-focused factors often uncontrolled by students; as such, transforming student achievement just by addressing this risk-performance relationship is insufficient. This study targeted this limitation by focusing on virtual learning environments. In online virtual-based learning, several important variables more amenable to change are posited to be important for student success in this study. These include mathematics self-efficacy, technology self-efficacy for online learning, and effective time management planning and monitoring. Combining these adaptive student personal characteristics with risk factors, the purpose of this study was to examine the relationship between student at-risk factors and mathematics achievement in the context of one online charter high school. Further, the study examined how student personal characteristics, which are often amenable to change and intervention, impact the relationship between risk and mathematics achievement. Using multiple linear regression, this study explored how at-risk factors interacted with student personal characteristics to influence mathematics achievement. Thus, the priority was to interpret the statistical mechanisms by which these student personal characteristics influenced the risk to achievement relationship. Results show that student performed at an average level in their Algebra 1 course. Further, students' age, likely coinciding with the grade level they took the courses negatively and significantly predicted cours (open full item for complete abstract)
Committee: Kui Xie (Advisor); Ann O'Connell (Committee Member); Azita Manouchehri (Committee Member)
Subjects: Demographics; Education; Educational Psychology; Educational Technology; Mathematics Education; Secondary Education