Under the pressure of federal accountability for high schools in the United States to improve and maintain high rates of on-time graduation, online credit recovery has become an increasingly popular intervention to help students earn credit in a course that they have previously failed. While some studies have connected online credit recovery with positive outcomes for participants, others have found negative outcomes and poor learning experiences. Set in a large school division in Virginia, the purpose of this study was to (a) identify explanatory student factors that were associated with participation in online credit recovery and (b) compare the likelihood of on-time graduation of participants with the likelihood of on-time graduation of nonparticipants. Limited to the graduation cohorts of 2019 and 2020, there were 10,010 students in the sample from the participating school division. In the sample, 27% of students were eligible to participate in online credit recovery, but only 2.3% of students participated. Binary logistic regression models were designed to identify factors associated with participation and the likelihood of on-time graduation. Covariates considered for inclusion in the model were gender, race and ethnicity, status as an English learner, status as a student with a disability, status as homeless, status as economically disadvantaged, high school grade point average, and school. Both models failed to meet goodness of fit standards and were rejected as having fit the data. No student factors were found to have explained participation, and differences in the likelihood of on-time graduation were not identified. These findings indicated that there did not appear to be systemic participation given the studied factors, reinforced by the finding that participation was relatively uniformly distributed among the schools. The finding of a lack of significant difference in the likelihood of on-time graduation highlighted flexibility for schools in choosing their recovery interventions. State agencies may also consider collecting and publicly reporting data about student participation in online credit recovery. Opportunities for future studies include replication in other settings, particularly districts of different size and area/region, and qualitative inquiry into decisions made by school and district leaders related to credit recovery. / Doctor of Education / Under the pressure of federal accountability for on-time graduation rates, high schools have increasingly used online credit recovery to help at-risk students. Some studies have identified positive outcomes for students in online credit recovery; however, others have found negative outcomes and poor learning experiences. Set in a large school division in Virginia, the purpose of this study was to identify factors that were associated with participation in online credit recovery and the likelihood of on-time graduation of participants compared to non-participants. Limited to the graduation cohorts of 2019 and 2020, there were 10,010 students in the sample from the participating school division, of which 2.3% of students participated. Logistic regression models were created, and covariates considered for inclusion in the model were gender, race and ethnicity, status as an English learner, status as a student with a disability, status as homeless, status as economically disadvantaged, grade point average, and school. Both models failed to fit the data well; no associated factors were found, and graduation rates were not found to be significantly different. There did not appear to have been systemic participation, and schools appear to have flexibility in offering recovery interventions. State agencies may also consider collecting and publicly reporting of data about student participation in online credit recovery. Opportunities for future studies include replication in other settings and qualitative inquiry into decisions related to credit recovery.

More than ever before, educators and researchers are keeping a keen eye on student college- and career-readiness. The widely adopted Common Core State Standards were written with the explicit goal of helping students to be college- or career-ready by the time they graduate from high school. However, many students experience setbacks, such as course failure, within their educational career placing them at risk for not reaching this goal. Because the ACT can predict student success in college, states often use benchmark scores from the exam to measure student college- and career-readiness. A student who fails to learn fundamental concepts in either Algebra I or Geometry will not score as well on the ACT and is not likely to meet benchmark scores for college- and career-readiness. It is important, then, for schools to provide credit recovery opportunities to students who do not pass these classes so they can master the content and earn a passing grade. This research study examines different credit recovery options offered at one high school to students who failed Algebra I and/or Geometry. These options included re-taking the class, summer school, an online course, and a more unique mastery based program. Because students were nested within teachers, hierarchical linear modeling was used to determine associations between credit recovery options and the ACT mathematics score which is used to determine college- and career-readiness. Also considered were the effects of gender, race, socioeconomic status, and previous achievement indicated by PLAN mathematics scores. For Algebra I, no variables were found to be statistically significant as fixed effects, and only re-taking the class, PLAN mathematics scores, and identification as White were found to be statistically significant as random effects. For Geometry, identification as being African American was the only variable found to be statistically significant as a fixed effect, and re-taking the course and participation in summer school were both found to be statistically significant as random effects.

A state college in the mid-Atlantic United States requires a music theory course for 4 of its undergraduate music programs. In the 6 years prior to this study, students had difficulty with the course, with many failing or withdrawing. Tinto's theory of student retention served as the foundation of the conceptual framework for this study, the purpose of which was to identify challenges to successfully completing the course. This purpose was reflected in the study's driving research question focused on students' experiences regarding challenges to success. In this instrumental case study, 12 students and 2 instructors participated in individual interviews, and 7 students participated in a focus group. Initial coding was used for the 1st-cycle coding phase. Axial coding was used for the 2nd cycle. Seven themes emerged through an iterative categorization protocol: 3 student-related themes, 3 college-related themes, and 1 theme relating to solutions for overcoming challenges to success in Music Theory I. Although data indicated that students experienced diverse challenges to success, the need for additional help was most evident. Thus, a logical project for this study was a music theory lab designed using best practices for course redesign and adult learning found in the literature and developed to support student learning of the concepts presented in Music Theory I. This study may contribute to positive social change by providing an opportunity for students at the college to receive academic support structured to meet their learning needs and improve their performance in Music Theory I, which may prevent students from withdrawing from or failing the course.

In this educational study, the research problem was that each semester a variable number of community college students are unable to complete an introductory computer applications course at a community college in the state of Mississippi with a successful course letter grade. Course failure, or non-success, at the collegiate level is a negative event for students and is a factor that leads to high attrition but does not always receive much research (Haynes Stewart et al., 2011). The purpose of this study was to see if a relationship existed between ACT scores (i.e., English, reading, mathematics, science reasoning, and composite) and student success in a computer applications course at a Mississippi community college. The first research question examined to see if the ACT composite test score was a statistically significant predictor of success in a computer applications course at a Mississippi community college. The second research question studied the ACT sub scores in English, reading, mathematics, and science reasoning to see if they were statistically significant predictors of success in the same course. Demographics of the sample were gathered from a multi-campus Mississippi community college along with the ACT scores and final grade in the computer applications class of the sample. Descriptive statistics were run and reported on the demographic data while bivariate and multivariate logistic regressions were utilized to examine predictability of the ACT scores in relation to course final grade. The time period covered by this study was from fall 2010 through spring 2012 excluding the summer semesters. The study showed that while the ACT scores were excellent predictors of inclusion in the success category, the ACT scores did a very poor job of predicting non-success. The study concluded with a summary of the findings as well as limitations of the study. Also discussed were recommendations for practitioners and policy makers to include making the information available to students, teachers, advisors, and administration as an advisement tool when deciding to take the computer applications class. As well, recommendations for future research include treating withdrawals separately, examining multiple schools for differences, and increasing internal validity.