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…

Purpose: This study aims to advance the understanding on individual variations in PhD candidates' personal interest in their doctorate and supervisory and research community support, and several individual and structural attributes potentially having an impact on the profiles. Design/methodology/approach: The authors explored the interrelationship…

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…

Ninth grade is a critical juncture for students--and can be a jarring transition. Even students a strong track record in the middle grades can experience academic difficulty, and those who enter high school with poor course grades, weak attendance, or behavior problems are especially at risk. An early misstep can have lasting implications:…

May 14, 2013 marked the 10 year anniversary of the creation of the Louisiana Recovery School District (RSD), the turnaround intervention for low performing public schools. Since 2003, the RSD has grown to include over 80 schools across the state. The purpose of this multilevel longitudinal study was to examine the relationship of the Louisiana…

Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…

This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…

Results showed the Scholastic Aptitude Test-verbal section, the Scholastic Aptitude Test-mathematics section, the rank in class, and annual income were not effective predictors of college graduation, withdrawal or academic dismissal status. Future research should investigate the interaction of both antecedent and intervening variables. (Author)

Secondary school students who drop out of school are put at great social and economic disadvantage. If potential dropouts can be identified early, prevention may be possible. To construct a prediction model which, through readily available school information, will aid in the identification of students likely to drop out, schools in the Austin,…

A study examined the difficulties encountered by first-year, part-time Technical and Further Education (TAFE) students that cause them to consider withdrawing from, and in many cases, dropping out of their TAFE programs. Questionnaires were administered to 4,150 early withdrawers (persons who dropped out between January 1 and May 16, 1986), 2,940…

Among Blacks attending traditionally Black colleges and those attending traditionally White colleges, college experiences affected outcomes more significantly than social background or high school experience. Thus, type of college experience determined differences in academic achievement, occupational aspirations, and dropout proneness between…

Describes a study conducted at Kirkwood Community College, Iowa, to determine if student scores on the American College Testing Program's Assessment of Student Skills for Entry Transfer (ASSET) placement test could help identify potential dropouts among vocational students and to compare the predictive validity of high school grades and ASSET…

A study was conducted at Sacramento City College (California) to determine the possibility of identifying high-risk students from information available from applications, assessment results, transcripts, and college enrollment data. Fall 1985 grade point averages (GPA) and progress percentages were used for high or low risk determination. Study…

Student characteristics associated with school failure and school dropouts are well documented. This study sought to determine if a subgroup of students could be differentiated prior to high school as at highest risk for secondary school failure and dropout. It also attempted to describe behavioral, academic, and familial differences and…

Beginning in 1992, Atlantic Community College, in New Jersey, conducted a 4-semester study to determine which factors resulted in student attrition and whether the factors that affected retention changed during the study period. The study population included 119 degree-seeking students who entered in January 1992 and who took the state's basic…