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Lowder, Christopher; O'Brien, Chris; Hancock, Dawson; Hachen, Jeremy; Wang, Chuang – Urban Review: Issues and Ideas in Public Education, 2022
The transition into high school is a critical time to act for students with a history of academic difficulty. In this study, researchers examined the impact of a learning strategies intervention program called High School Success on performance of students demonstrating deficits in literacy and academic skills. Data were collected on performance…
Descriptors: High School Students, Academic Achievement, Learning Strategies, Intervention
Wild, Steffen; Grassinger, Robert – British Journal of Educational Psychology, 2023
Background: Starting a study programme at an university, students are confronted with rising requirements regulating their learning processes and motivation. Both difficulties due to this regulation and the quality of instruction are associated with students dropping out from a study programme in the research. Aims: The purpose of this research is…
Descriptors: Learning Strategies, Self Management, Student Motivation, Academic Achievement
Amir Reza Rahimi – Smart Learning Environments, 2024
MOOC attrition rates have become a research hotspot in open and online education, requiring researchers to pinpoint psychological, technological, pedagogical, and technical factors that could mitigate this problem. For this aim, the current study applied a tri-phenomenon approach to explore language learners' perceptions of support coupled with…
Descriptors: Foreign Countries, English Language Learners, MOOCs, Student Attrition
Van den Broeck, L.; De Laet, T.; Lacante, M.; Pinxten, M.; Van Soom, C.; Langie, G. – European Journal of Engineering Education, 2018
To stimulate a flexible lifelong learning system students can enter university via lateral entry. Unlike traditional first-year students, lateral entrance students are not well-studied. Therefore this study focuses on comparing first-year students with a specific group of lateral entrants, namely bridging students at the Faculty of Engineering…
Descriptors: Comparative Analysis, College Freshmen, Engineering, Engineering Education
Gallego, María Gómez; Perez de los Cobos, Alfonso Palazón; Gallego, Juan Cándido Gómez – Education Sciences, 2021
A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption…
Descriptors: Identification, At Risk Students, Potential Dropouts, Cognitive Processes
Hutton, E. A.; Skues, J. L.; Wise, L. Z. – International Journal of Training Research, 2019
This study used Control-Value Theory to examine the extent to which appraisals of control and value predicted students' intentions to complete their studies and whether the effects of these appraisals on completion intentions are mediated by the achievement emotions of enjoyment, frustration, anger and boredom. A sample of 158 Australian…
Descriptors: Foreign Countries, Prevocational Education, Academic Achievement, Intention
Musso, Mariel F.; Hernández, Carlos Felipe Rodríguez; Cascallar, Eduardo C. – Higher Education: The International Journal of Higher Education Research, 2020
Predicting and understanding different key outcomes in a student's academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. Most of the predictive models developed for those key outcomes have been based on traditional methodological approaches.…
Descriptors: Classification, Prediction, Artificial Intelligence, College Students
Broos, Tom; Pinxten, Maarten; Delporte, Margaux; Verbert, Katrien; De Laet, Tinne – Assessment & Evaluation in Higher Education, 2020
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…
Descriptors: Data Analysis, Learning Analytics, Dropout Prevention, Student Experience
Alonso-Mencía, M. Elena; Alario-Hoyos, Carlos; Estévez-Ayres, Iria; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2021
Massive open online courses (MOOCs) require registered learners to be autonomous in their learning. Nevertheless, prior research studies showed that many learners lack the necessary self-regulated learning (SRL) skills to succeed in MOOCs. This research study aimed to gain insights into the relationships that exist between SRL and background…
Descriptors: Self Management, Independent Study, Learning Strategies, Online Courses
Onah, Daniel F. O.; Pang, Elaine L. L.; Sinclair, Jane E.; Uhomoibhi, James – International Journal of Information and Learning Technology, 2021
Purpose: Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised…
Descriptors: MOOCs, Questionnaires, Learning Strategies, Blended Learning
Kritzinger, Angelique; Lemmens, Juan-Claude; Potgieter, Marietjie – CBE - Life Sciences Education, 2018
Higher education faces the challenge of high student attrition, which is especially disconcerting if associated with low participation rates, as is the case in South Africa. Recently, the use of learning analytics has increased, enabling institutions to make data-informed decisions to improve teaching, learning, and student success. Most of the…
Descriptors: Learning Strategies, Biology, Science Instruction, Dropouts
Van den Broeck, Lynn; De Laet, Tinne; Lacante, Marlies; Pinxten, Maarten; Van Soom, Carolien; Langie, Greet – Journal of Further and Higher Education, 2019
Although the number of engineering students is increasing, dropout rates remain high. This problem is also present in the Faculty of Engineering Technology (FET) at KU Leuven, Belgium, which resulted in the need for an in-depth analysis of the academic achievement of the bridging students there. This study examines the contribution of a range of…
Descriptors: Academic Achievement, Educational Background, Diagnostic Tests, Engineering Education
Martin, Melissa Lynn – ProQuest LLC, 2022
Latinx students with limited or interrupted formal education (SLIFE; ages 18-20), not enrolled in school, often do not fully employ mobile-assisted language learning (MALL) strategies to acquire English and may experience barriers to using MALL strategies. The purpose of this study was to explore what MALL strategies Latinx SLIFE (ages 18-20), not…
Descriptors: Telecommunications, Handheld Devices, English (Second Language), Second Language Learning
Adapting Tinto's Framework: A Model of Success and Failure in a Middle Eastern Transnational Setting
Holden, Caroline – Studies in Higher Education, 2018
This study utilises [1993. "Leaving College: Rethinking the Causes and Cures of Student Attrition." 2nd ed. Chicago: University of Chicago Press] theoretical framework, known as the Model of Longitudinal Departure, to investigate success and failure in foundation year medical school in a Middle Eastern transnational location. This…
Descriptors: Guidelines, Dropouts, Longitudinal Studies, Medical Schools
Makransky, Guido; Havmose, Philip; Vang, Maria Louison; Andersen, Tonny Elmose; Nielsen, Tine – Higher Education Research and Development, 2017
The aim of this study was to evaluate the predictive validity of a two-step admissions procedure that included a cognitive ability test followed by multiple mini-interviews (MMIs) used to assess non-cognitive skills, compared to grade-based admissions relative to subsequent drop-out rates and academic achievement after one and two years of study.…
Descriptors: Predictive Validity, College Admission, Admission Criteria, College Entrance Examinations