West Bengal, once a leading educational hub in India, has experienced significant stagnation in its school education system over the past two decades, with progressively declining enrolment rates. To address this issue, the state government introduced the Kanyashree Prakalpa in 2013, a Conditional Cash Transfer (CCT) scheme aimed at reducing…

Based on Social Identity Theory, this study contributes to the understanding of how the attachment felt by students to their university (called here institutional attachment) works as a crucial factor in promoting their life satisfaction and decreasing their dropout intentions. The study aimed to investigate the relations between students'…

Dropout rates in engineering degree programmes at universities are high, and skilled workers are needed. Universities try to prevent dropouts with different offers one of which is attending bridging courses. Research on the effects of these programmes is rare, especially in subject-specific programmes and study formats like cooperative education.…

In response to the educational and workforce challenges facing young adults without high school diplomas, Ohio House Bill 33 authorized the creation of the 18+ Pilot Adult High School Diploma Program. Backed by a $2.5 million appropriation, HB33 established this initiative to operate during Fiscal Years 2024 and 2025, offering a flexible,…

Although MOOCs platforms offer a unique way to provide information for a large cohort of participants, only a small percentage of participants complete MOOCs. The high number of dropouts in MOOCs is a key challenge, and the literature suggests that it can be affected by participants' motivation. However, it is not known how and to what extent…

Early Warning Systems (EWS) in higher education accommodate student counsellors by identifying at-risk students and allow them to intervene in a timely manner to prevent student dropout. This study evaluates an EWS that shares student-specific risk information with student counsellors, which was implemented at a large Dutch university. A…

Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…

Dropout is one of the major problems online higher education faces. Early identification of the dropout risk level and an intervention mechanism to revert the potential risk have been proved as the key answers to solving the challenge. Predictive modeling has been extensively studied on course dropout. However, intervention practices are scarce,…

Students' perception of excessive difficulty in STEM degrees lowers their motivation and, therefore, affects their performance. According to prior research, the use of gamification techniques promote engagement, motivation, and fun when learning. Badges, which are a distinction that is given as a reward to students, are a well-known gamification…

Educators across the U.S. struggle to provide an equitable education to their diverse students. Since the 2020 COVID pandemic and the national call to end racism after George Floyd's murder in Minneapolis, chronic absenteeism and students' substantial mental health challenges have disrupted their efforts. Schools have struggled more than ever to…

In the United States, doctoral students have a fifty percent chance of graduating from their institutions with a doctoral degree (Berelson, 1960; Bowen & Rudenstein, 1992; Lovitts, 2001; Sowell et al., 2015); however, this percentage decreases when race and ethnicity are included (Lovitts, 2001; Nettles & Millett, 2006). Research indicates…

Despite a high primary school enrollment in India, the overall learning levels have been low, and the dropout level in secondary school and beyond has been high. One reason for low learning levels and high drop-out rates is the student's lack of motivation to learn in the classroom. We suggest that curiosity may be a useful tool to improve student…

Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…

Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…

Early school leaving is an outcome of complex and long-term processes comprising personal, institutional, and systemic factors. Studies on individuals in Hungary have identified a connection between early school leaving and teaching practices at schools. The creation of supportive learning environments in turn can contribute to preventing early…