NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Family Educational Rights and…1
What Works Clearinghouse Rating
Showing 1 to 15 of 230 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Valentine Joseph Owan; Ibrahim Abba Mohammed; Ahmed Bello; Tajudeen Ahmed Shittu – Contemporary Educational Technology, 2025
Despite the increasing interest in artificial intelligence technologies in education, there is a gap in understanding the factors influencing the adoption of ChatGPT among Nigerian higher education students. Research has not comprehensively explored these factors in the Nigerian context, leaving a significant gap in understanding technology…
Descriptors: Student Behavior, Foreign Countries, Artificial Intelligence, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Wellington Segheto; Sabrina Fontes Domingues; Braian Rodrigues Campos; Mr. Marcela Alvarenga Abreu; Luciana Moreira Lima – Health Education & Behavior, 2024
The university is considered an environment that favors the initiation and use of substances, especially those that are legal, such as alcohol. This consumption can be differentiated in university students, which makes it necessary to better understand this behavior. Taking into account these aspects, we analyzed the abusive consumption of…
Descriptors: Substance Abuse, Drinking, College Students, Socioeconomic Status
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Chinelo Orji; Carolyn M. Brown; Jamie Barner; Leticia Moczygemba; Daisy Morales-Campos – Journal of American College Health, 2025
Purpose: To determine college students' intentions to be Human Papillomavirus (HPV) vaccinated. Methods: The study was comprised of college students aged 18-45 years. A survey was developed based on the Theory of Planned Behavior (TPB). The significance of the TPB constructs--attitude, subjective norms, and perceived behavioral control--and an…
Descriptors: Immunization Programs, Sexually Transmitted Diseases, Intention, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Robin M. Kowalski; Gary W. Giumetti; Richard S. Feinn – International Journal of Bullying Prevention, 2023
Dan Olweus' pioneering work on traditional bullying laid the foundation for how cyberbullying is defined and measured today. Many researchers believe that these two forms of bullying share some similarities. However, two perspectives have been outlined for the relationship between traditional bullying and cyberbullying--the extension perspective…
Descriptors: Bullying, Computer Mediated Communication, Longitudinal Studies, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Marcos Bella-Fernández; Manuel Suero Suñé; Alicia Ferrer-Mendieta; Beatriz Gil-Gómez de Liaño – Cognitive Research: Principles and Implications, 2025
Predicting quitting rules is critical in visual search: Did I search enough for a cancer nodule in a breast X-ray or a threat in a baggage airport scanner? This study examines the predictive power of search organization indexes like best-r, mean ITD, PAO, or intersection rates as optimal criteria to leave a search in foraging (looking for several…
Descriptors: Online Searching, Visual Aids, Mass Media, Search Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Bartshe, Melissa; Coughenour, Courtney; Stephen, Haroon – Journal of American College Health, 2023
Objective: Rates of physical activity (PA) are low, especially among college students. Tree canopy and social capital have been correlated with higher rates of PA. This study assessed the relationship between tree canopy and social capital on minutes of PA. Participants: Students from the University of Nevada, Las Vegas, located in Southern…
Descriptors: College Students, Social Capital, Physical Activity Level, Natural Resources
Peer reviewed Peer reviewed
Direct linkDirect link
Öztürk, Mücahit; Kerse, Gökhan – Education for Information, 2022
This study aims to determine the predictors of cyberloafing behaviors of university students. In this context, we examined the effects of smartphone and internet addiction variables on cyberloafing levels. Besides, the mediator effect of internet addiction was determined in the impact of smartphone addiction on cyberloafing. We conducted the…
Descriptors: Handheld Devices, Internet, Addictive Behavior, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Arif Hasan; Sandeep Raghuwanshi; Hiren Harsora; Prabhat Kumar; Vivek Gupta; Ardhendu Shekhar Singh – Discover Education, 2025
Purpose: The present research is interested in evaluating the Unified Theory of Acceptance and Use of Technology (UTAUT) model and its extra predictors to examine those factors which determine the millennials and elearning issue. The relationship between behaviour intentions (BI) and further process of adopting elearning is the result on which the…
Descriptors: Electronic Learning, Age Groups, Intention, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Lopes, João M.; Laurett, Rozélia; Ferreira, João J.; Silveira, Paulo; Oliveira, José; Farinha, Luís – Industry and Higher Education, 2023
This study analyzes the predictive factors influencing the entrepreneurial intentions of students at higher education institutions (HEIs) in a peripheral European region. The study includes a sample of 594 students and uses structural equation models for data analysis. The results show that the attitude to behavior and perceived behavioral control…
Descriptors: Foreign Countries, College Students, Entrepreneurship, Intention
Peer reviewed Peer reviewed
Direct linkDirect link
Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Peker, Adem; Kasikci, Furkan – Acta Educationis Generalis, 2022
Introduction: The use of social media tools is increasing day by day. In addition to its positive use, social media tools are also used in the virtual environment to harm others. This harmful use is noted as cyber-bullying. Determining the factors affecting cyber-bullying is of great importance in terms of contributing to intervention studies.…
Descriptors: Bullying, Computer Mediated Communication, Victims, College Students
Carl Crowe – ProQuest LLC, 2022
Academically dishonest behavior, or cheating, has been a continued problem in post-secondary institutions. Research has been varied in terms of understanding the root causes of academically dishonest behaviors and has offered ways in which to mitigate the behaviors by educating students and holding them accountable to institutional expectations.…
Descriptors: Predictor Variables, Cheating, Student Behavior, Behavior Theories
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  16