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Mendes Vieira, Kelmara; Bender Filho, Reisoli; Da Silva Costa Junior, Elizeu; Martins Santos, Gilberto – Turkish Online Journal of Distance Education, 2023
This research seeks to understand the determinants of student dropout in the courses offered at the Open University of Brazil system at the Federal University of Santa Maria. The research used the following methods: survival function, factorial analysis, and logistic function. Results indicated that male students, with higher levels of income, who…
Descriptors: Distance Education, Dropouts, Foreign Countries, College Students
Oscar Espinoza; Luis Eduardo González; Luis Sandoval; Noel McGinn; Bruno Corradi – Research Papers in Education, 2024
In Chile many university students do not persist to graduation. Some students dropped out in the first year, others later. The objective of this study, based on students admitted to but not graduating from selective universities, was to identify factors associated with their academic success and length of persistence before withdrawal. The 707…
Descriptors: Academic Persistence, Selective Admission, Foreign Countries, Academic Achievement
Huang, Tianyang – Education and Information Technologies, 2023
Online course learning is an important part of higher education curriculum. However, the factors influencing college students' online course learning behavior are poorly understood. The purpose of this study is to analyze the factors affecting college students' online course learning behavior. This study integrated the Information System Success…
Descriptors: College Students, Foreign Countries, Online Courses, Learning
Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
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…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
Wut, Tai Ming; Lee, Stephanie W. – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this paper is to investigate factors affecting university students' participation in discussion forum of electronic learning platforms of teacher--student interaction. Design/methodology/approach: One-stage cluster sampling was used and a cross-sectional survey of 113 university students from four courses was done.…
Descriptors: Influences, Student Behavior, Online Courses, Discussion Groups
Gregory, Adam – ProQuest LLC, 2022
Many young adults are experiencing human sexuality related issues and disorders. Researchers have found ample evidence linking hindered human sexuality discussions with clients by mental health professionals to low and reduced comfort, lack of willingness, and non-positive attitudes about sex. There is limited research that shows there is a…
Descriptors: School Counselors, College Students, Sexuality, Background
Naaman, Hind – European Educational Researcher, 2021
Higher education dropout has been considered a major concern for several researchers in the field of education around the World. Although different studies were carried out to deal with the topic, they all faced common limitations. This paper explores the twofold research conducted to investigate higher education dropout in Education studies at…
Descriptors: Dropouts, Dropout Research, Foreign Countries, College Students
Barringer, Alexandra; Papp, Lauren M. – Journal of American College Health, 2022
Objective: To identify academic factors pertaining to college students, calendar timing, and particular moments that are uniquely associated with elevated likelihood of prescription stimulant misuse (intentions and actual behavior) in daily life. Participants: Participants were 297 freshmen and sophomores at a large public university in the United…
Descriptors: College Students, Health Behavior, Risk, Stimulants
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Hsin-I, Lee; Tzu-Yu, Lin; Sheng-Hsiung, Chiu – Higher Education: The International Journal of Higher Education Research, 2021
This paper explores factors that influenced the quality of stay of Chinese-speaking mobile students in France, as the living experience abroad is one of the most-cited difficulties for international students. For practicality, we sieve through previous researches to identify 20 factors (grouped into 4 Dimensions: Personal Dimension Teacher's…
Descriptors: Influences, Student Experience, Chinese, Foreign Countries
Zilvinskis, John; Morgan, Demetri L.; Dugan, Brendan – Journal of College Student Development, 2020
Following insights gleaned from a previous study the authors conducted, and to encourage greater transparency in the quantitative research design of higher education studies, the authors tested which institution-level variables found within the activism literature can be retained when modeling student activism behavior at multiple levels (Morgan,…
Descriptors: Activism, College Students, Institutional Characteristics, Predictor Variables
Lessky, Franziska; Unger, Martin – European Journal of Higher Education, 2023
Student employment has become widespread across many European countries, eliciting the question of how working while studying affects student retention. Previous research mostly agrees that it does by arguing that firstly, students who work long hours (i.e. more than 10 h per week) are more likely to leave university early, and also shows that…
Descriptors: Foreign Countries, Student Employment, School Holding Power, Work Environment
Joseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
Hsu, Hui-Tzu; Lin, Chih-Cheng – British Journal of Educational Technology, 2022
Few studies have investigated the extension of the technology acceptance model (TAM) of mobile-assisted language learning (MALL) by incorporating psychological influence factors. We aimed to determine the factors affecting the continued adoption of MALL by college-age students of English as a foreign language (EFL). We extended the TAM by adding…
Descriptors: Technological Literacy, College Students, Electronic Learning, Handheld Devices
Merve Bulut; Yaren Bulbul – Turkish Online Journal of Distance Education, 2024
Even though distance education from the home environment has seemed comfortable and economic for students with disability in formal higher education during the pandemic, insufficiency in their academic self-efficacy, satisfaction and an increasing tendency to drop out were observed. This quantitative research is based on development of the scales…
Descriptors: Self Efficacy, Student Characteristics, Student Satisfaction, Dropouts