To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

Discussions of the barriers to completion in community colleges have largely focused on student success in introductory college-level math and English courses, and rightfully so, since these courses are typically required for degrees. However, there is a much broader range of courses that also serve as "gatekeepers" in the sense that they are…

In this manuscript, research on treatment compliance and dropout in group therapy is reviewed. A number of variables found to be related to the compliance and dropout are identified including client characteristics, treatment characteristics, and therapist perceptions and behavior. Implications of these results for increasing treatment compliance…

Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author…

Research shows that peer status in adolescence is positively associated with school achievement and adjustment. However, subculture theories of juvenile delinquency and school-based ethnographies suggest that: (1) disadvantaged boys are often able to gain some forms of peer status through violence; and (2) membership in violent groups undermines…

The main aim of this study was to gain a better understanding of why students abandon their studies, or perform less well than expected given their high school grades, and to develop predictive models that can help identify those students most at-risk at the time they enter college. This will allow teachers and those responsible for student…

Research Findings: Early Head Start home-based programs provide services through weekly home visits to families with children up to age 3, but families vary in how long they remain enrolled. In this study of 564 families in home-based Early Head Start programs, "dropping out" was predicted by specific variations in home visits and certain family…

This study explored predictors of treatment response and attrition in Parent-Child Interaction Therapy (PCIT). Participants were 99 families of 3-to 6-year-old children with disruptive behavior disorders. Multiple logistic regression was used to identify those pretreatment child, family, and accessibility factors that were predictive of success or…

Many students who enter public schools leave without achieving what has become the expected minimum level of educational attainment, a high school diploma. The purpose of this study was to contribute to existing dropout-prevention research by identifying and validating reliable decision rules for differentiating actual dropouts from high school…

Findings from a study designed to evaluate the Houston Independent School District's (HISD) program for identifying students at risk of dropping out are presented in this report. In the 1988-89 school year HISD employed a scheme of four state-mandated criteria for identifying at-risk students, and this scheme's performance in predicting actual…

This report is the second part of a study which sought to determine whether there is a set of in-school factors which might help explain the differences in dropout rates among schools with very similar student bodies. The study was designed as an in-depth ethnographic examination of four pairs of Chicago (Illinois) public high schools. One school…

A study used Alexander Astin's (1993) Input-Environment-Output (I-E-O) model to examine persistence at the United States Coast Guard Academy (Connecticut). Because the study was conducted in a controlled social environment, measures of social environmental influence were derived from multiple inputs, including adaptability polls wherein every…

This study sought to determine whether there is a set of in-school factors which might help explain the differences in dropout rates among schools with very similar student bodies. The study was designed as an in-depth ethnographic examination of four pairs of Chicago (Illinois) public high schools. One school in each pair had a high dropout rate…

A study investigated the appropriateness of admissions standards used for transfer students to the University of Missouri-Columbia, by analyzing the relationship between several possible predictor variables (number of transfer credits, transfer grade point average, type of previous institution, type of associate degree earned) and targeted…