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Tomasz Zajac; Francisco Perales; Wojtek Tomaszewski; Ning Xiang; Stephen R. Zubrick – Higher Education: The International Journal of Higher Education Research, 2024
Understanding the drivers of student dropout from higher education has been a policy concern for several decades. However, the contributing role of certain factors--including student mental health--remains poorly understood. Furthermore, existing studies linking student mental health and university dropout are limited in both methodology and…
Descriptors: Foreign Countries, Mental Health, Dropout Characteristics, Dropout Prevention
Pedro Ricardo Álvarez-Pérez; David López-Aguilar; María Olga González-Morales; Rocío Peña-Vázquez – Journal of College Student Retention: Research, Theory & Practice, 2024
The relationship between engagement and the intention to drop out was the focus of this research. Following an empirical-analytical approach, a sample of 1,122 university students responded to a questionnaire designed to measure the engagement and the intention to drop out of school. The results confirmed that undergraduates who considered…
Descriptors: Undergraduate Students, Learner Engagement, Dropout Attitudes, Dropout Prevention
Trinidad, Jose Eos – AERA Online Paper Repository, 2023
School reform and improvement are driven by individuals, often working alongside each other. Drawing on in-depth interviews with researchers, philanthropists, and school improvement staff in Chicago, Philadelphia, and NYC, I found that education reformers employed varying logics and strategies even as they worked toward similar goals:…
Descriptors: Educational Change, Educational Improvement, Dropout Prevention, Organizations (Groups)
Chiara Masci; Marta Cannistrà; Paola Mussida – Studies in Higher Education, 2024
This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts
Jason Willard King – ProQuest LLC, 2024
The Great Mountain High School (GMHS) started a program to help support students at risk for not graduating high school. The focus of this study was to provide a formative program evaluation of the created program that (a) investigated the fidelity of implementation of the activities and processes of the program, (b) gathered an understanding of…
Descriptors: High School Seniors, Grade 12, At Risk Students, Dropout Prevention
Khoushehgir, Fatemeh; Sulaimany, Sadegh – Education and Information Technologies, 2023
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…
Descriptors: Prediction, Dropout Prevention, MOOCs, Dropout Rate
Josep Figueroa-Cañas; Teresa Sancho-Vinuesa – Open Learning, 2024
Practitioners of the statistics course embedded in a computer science programme at a fully online university were concerned with the high dropout rate. In the academic year 2018-19, they decided to carry out a two-phase project in order to address this issue. In the first phase, an early classifier to identify students at risk of dropping out of…
Descriptors: Foreign Countries, College Students, Virtual Schools, Online Courses
Steffen Wild; Sebastian Rahn; Thomas Meyer – International Journal of Education in Mathematics, Science and Technology, 2024
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.…
Descriptors: Foreign Countries, Engineering Education, Undergraduate Students, Dropout Rate
Badali, Mehdi; Hatami, Javad; Banihashem, Seyyed Kazem; Rahimi, Ebrahim; Noroozi, Omid; Eslami, Zahra – Research and Practice in Technology Enhanced Learning, 2022
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…
Descriptors: Student Motivation, Online Courses, School Holding Power, Literature Reviews
Plak, Simone; Cornelisz, Ilja; Meeter, Martijn; van Klaveren, Chris – Higher Education Quarterly, 2022
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…
Descriptors: At Risk Students, Identification, Counseling, Foreign Countries
Roger Sheng So – ProQuest LLC, 2024
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…
Descriptors: Learning Management Systems, Data Use, At Risk Students, Learner Engagement
Bañeres, David; Rodríguez-González, M. Elena; Guerrero-Roldán, Ana-Elena; Cortadas, Pau – International Journal of Educational Technology in Higher Education, 2023
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,…
Descriptors: Dropout Characteristics, Dropout Prevention, Identification, Intervention
Lara-Cabrera, Raul; Ortega, Fernando; Talavera, Edgar; Lopez-Fernandez, Daniel – IEEE Transactions on Education, 2023
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…
Descriptors: STEM Education, Rewards, Gamification, Technology Uses in Education
Singh, Aditya; Manjaly, Jaison A. – SAGE Open, 2022
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…
Descriptors: Personality Traits, Educational Improvement, Outcomes of Education, Foreign Countries
Ann L. Mavis – ProQuest LLC, 2024
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…
Descriptors: Equal Education, Evidence Based Practice, Dropout Prevention, Learner Engagement