Study success in Higher Education is of primary importance in the European policy agenda. Yet, given the diverse educational landscape across countries and institutions, more coordinated action is needed to gain a more solid knowledge of the dropout phenomenon. This study aims to gain a better insight into students' dropout based on an integrated…

Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…

The transition from school to university mathematics is a challenging process for many students. This phenomenon is reflected by high dropout rates from mathematics programs especially during the first year at university that may be related to the development of students' mathematical interest and self-concept. Taking a learning psychological…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

The purpose of this investigation was to develop an ultra-short questionnaire that reliably predicted re-enrollment. Two binary stepwise logistic regressions were performed using re-enrollment status as the criterion. The first regression, conducted with a subsample of 4619 undergraduates, reduced 32 items drawn from the College Persistence…

Teacher attrition is a significant problem facing schools, with a large percentage of teachers leaving the profession within their first few years. Given the need to retain high-quality teachers, research is needed to identify those teachers with higher retention rates. Using survival analyses and a large state dataset, researchers examined…

This study was undertaken to determine whether differences in characteristics exist between public school dropouts and graduates. The need for such a study is indicated by the fact that dropouts are finding it more difficult to achieve success in most life ventures. A random sampling from 304 school systems in Indiana produced twenty school…

Rated community mental health clinic clients after the initial session. Therapist ratings of client behavior were related significantly to subsequent attendance. Early dropouts were characterized by youth and a lower education level. They were less likely to be employed and more likely to have diagnosed personality disorders. (Author/JAC)

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…

Discusses the social consequences of dropping out of high school, the behavioral patterns of dropping out, and predictors of dropping out. Suggests that counselors identify potential dropouts early, start programs targeted to meet potential dropouts' needs, and keep in contact with them. (Author/ABB)

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…

Using the state-mandated Texas at-risk criteria to identify students at-risk for dropping out, the Austin (Texas) Independent School District (AISD) followed those students for three years to determine the accuracy of the mandated state criteria. The study focuses on the classification and follow-up of 25,587 students in 1987-88, 25,292 students…

An informal study was conducted of the courses selected by ninth grade students who later dropped out of high school. Longitudinal data were available for high school students in the Austin (Texas) Independent School District, from 1978-79 to 1982-83. The courses selected by high-risk students in ninth grade, including extracurricular activities…

A study examined the variables affecting individuals' decisions to discontinue attendance in or complete their adult basic education (ABE) program. The study sample consisted of 2,323 students enrolled in an ABE program through an urban community college in the Midwest over a 2-year period. Data were derived from student records and program…

This paper identifies and assesses factors that may characterize students at risk of dropping out, based on a ninth grade class of Cincinnati (Ohio) public school students which was followed for five years, from 1984-85 to 1988-89. The paper aims to develop a quick, easy, and reliable method that teachers, counselors, and principals can use to…