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Caroline North; Lou Ann Grossberg; Alexandra Loukas – Journal of American College Health, 2025
Purpose: Examine tobacco use on college campuses by assessing: (1) types of tobacco products used, (2) where they are most commonly used, and (3) the sociodemographic characteristics of students most likely to use on campus. Method: Participants were a convenience sample of 3,575 18- to 25-year-old enrolled in 14 Texas colleges during Spring 2021…
Descriptors: Smoking, College Students, Health Behavior, Student Characteristics
D. O. Oyeka; C. A. Oyeka – Discover Education, 2024
The aim of this work is to explore the relationship between the skills acquired by students of Engineering in the Nigerian university education system and the demographic characteristics of the students, such as gender and age, which could influence the attainment of these skills. A total of 112 students were surveyed to determine which of 24…
Descriptors: Age Differences, Gender Differences, Skill Development, Engineering Education
Cathryn Knight; Emily Lowthian; Tom Crick; Carys Jones; Anna Rawlings; Hoda Abbasizanjani; Sarah Rees – British Educational Research Journal, 2025
In the context of an emerging new additional learning needs (ALN) system in Wales, this research explores who was likely to be identified with special educational needs (SEN) under the previous system. Our study reveals analysis of linked Welsh education and health data on SEN identification in learners in mainstream education settings born…
Descriptors: Foreign Countries, Students with Disabilities, Disability Identification, Mainstreaming
Nergiz Ercil Cagiltay; Sacip Toker; Kursat Cagiltay – Open Praxis, 2024
Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…
Descriptors: MOOCs, Behavior Patterns, Gender Differences, Age Differences
Anna Stepanovna Borisova; Oksana Ivanovna Aleksandrova; Svetlana Alekseevna Moskvitcheva; Muhammad Arif Soomro – Asian-Pacific Journal of Second and Foreign Language Education, 2025
The present study investigates the correlations between socio-biographical variables (such as age, gender, years of studying English language, and educational environment) and foreign language anxiety learning. The study also compares the manifestation of foreign language anxiety among Chinese and Russian university students. A mixed-method of…
Descriptors: Student Characteristics, English (Second Language), Second Language Learning, Age Differences
Hannah G. Mitchell; Shelby A. King; Meredith K. Ginley; Kelly N. Foster; Nicholas E. Hagemeier; Rajkumar J. Sevak – Journal of American College Health, 2024
Objective: The present study identified common motives for nonmedical use of prescription stimulants (NMUS) among community college (CC) students and examined behavioral and demographic correlates of certain motives. Participants: The survey was completed by 3,113 CC students (72.4% female; 81.7% White). Methods: Survey results from 10 CCs were…
Descriptors: Drug Abuse, Stimulants, Student Motivation, Gender Differences
Çelikkol, Ömer – Shanlax International Journal of Education, 2023
The present research attempted to investigate the impacts of gender and age on the freshly-graduated eighth graders' percentiles in the central high school entrance exam (LGS) in 2020. The sample of this causal-comparative study comprised 6,039 students selected from secondary schools in Isparta who took the LGS in 2020. The data were obtained…
Descriptors: School Entrance Age, Academic Achievement, Secondary School Students, Gender Differences
Ghita Ibrahimi; Bouchra Benchekroun – International Journal of Learning and Change, 2024
ChatGPT has advanced substantially, altering an array of industries and aspects of daily life. As it grows in popularity, ChatGPT has made its first steps into the field of education, especially higher education. This study aims to investigate the factors that affect the adoption of ChatGPT among higher education students. The novelty of this…
Descriptors: Artificial Intelligence, College Students, Student Characteristics, Technology Uses in Education
Mengdi Chen; Marjolein Zee; Debora L. Roorda – Journal of Research in Childhood Education, 2025
Student-teacher relationship drawings were employed to investigate how students' mental representations of student-teacher relationships were affected by their gender, age, and shyness across the Netherlands and China. The sample included 752 third- to sixth-graders (48.5% boys; M[subscript age] = 9.96) from the Netherlands and 574 third- to…
Descriptors: Teacher Student Relationship, Freehand Drawing, Student Characteristics, Gender Differences
Kaitlyn G. O'Hagan; Leanna Stiefel – Remedial and Special Education, 2025
Research increasingly seeks to answer the question: does special education work? This is different than asking if specific interventions have positive effects and instead aims to identify system-wide impacts. We systematically review published quantitative research on the impact of receiving special education services on student outcomes using…
Descriptors: Special Education, Program Effectiveness, Academic Achievement, Educational Research
Adrienne R. Lee; Alex Gonzalez; Jenna M. Garcia; Lourdes S. Martinez; Eyal Oren – Journal of American College Health, 2024
Objective: College students play a major role in the transmission of SARS-CoV-2, the viral agent responsible for COVID-19. We aim to understand risk perceptions, self-efficacy, and adoption of prevention behaviors in this population to inform prevention strategies. Participants: Undergraduate students attending a large public university. Methods:…
Descriptors: Undergraduate Students, Student Attitudes, COVID-19, Pandemics
Rawan Alzukari; Tianlan Wei – Journal of International Students, 2024
This meta-analysis examines gender differences in acculturative stress among international students. Despite numerous studies on cultural adjustment, inconsistencies persist regarding gender differences in acculturative stress. This study synthesizes findings from 12 empirical studies. Comprehensive searches across databases, including…
Descriptors: Gender Differences, Foreign Students, Stress Variables, Student Characteristics
Anupama Prashar; Parul Gupta; Yogesh K. Dwivedi – Studies in Higher Education, 2024
Widespread academic dishonesty among higher education (HE) students has been a concern for higher education institutes (HEIs). Ethics literature reports that unintentional plagiarism is more prevalent among HE students and the root cause is, limited or no awareness of nuances of ethics concerning plagiarism resulting in poor ethical judgments.…
Descriptors: Ethics, Cheating, Plagiarism, Student Attitudes
Yingqi Tang; Hungwei Tseng; Yu-Chun Kuo; Hsin-Te Yeh; Jianfang Liu – Online Learning, 2025
Through a hierarchical multiple regression analysis, this study investigated how dimensions of online learning readiness and online connectedness influence students' intentions to continue to take online courses. Data from 369 students who took at least one online course at a four-year public university showed that online learning readiness had a…
Descriptors: Success, Electronic Learning, Learning Readiness, Online Courses
Christine R. Starr; Glona Lee-Poon; Charlott Rubach; Yannan Gao; Nayssan Safavian; Anna-Lena Dicke; Jacquelynne S. Eccles; Sandra D. Simpkins – Journal of Adolescence, 2025
Introduction: Individuals' math value beliefs are theorized to influence who persists in STEM. However, the existing findings on gender differences in adolescents' math value beliefs are inconsistent. The goal of this study was to use three existing datasets to help clarify when gender differences emerge for high school adolescents and for whom…
Descriptors: Longitudinal Studies, High School Students, Achievement Tests, Mathematics Achievement