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Anja Møgelvang; Simone Grassini – Discover Education, 2025
Identifying valid and reliable instruments measuring attitudes toward Artificial Intelligence (AI) and examining attitudinal gaps are becoming increasingly important as they may inform ethical and appropriate development, adoption, and regulation of AI technologies. In this study, we validated the 4-item AI Attitude Scale (AIAS-4) in a large…
Descriptors: Attitude Measures, Artificial Intelligence, College Students, Student Attitudes
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
Gilber Chura-Quispe; Yesica Sofia Nicole Román Bullon; Edwin Gustavo Estrada-Araoz; José Ricardo Pujaico-Espino; Dony Edwin Mamani-Velasquez – Educational Process: International Journal, 2025
Background/purpose: The increasing use of technology in people's daily lives has given rise to novel social phenomena such as "phubbing," the act of ignoring someone in a physical environment to attend to a mobile phone. This behavior has sparked interest in the academic field, where social interaction is fundamental for the emotional…
Descriptors: Computer Use, Telecommunications, Handheld Devices, Psychological Patterns
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
Amy Tomlinson; Lois Smith; Chris Wilcox; Andrew Simpson – Journal of Further and Higher Education, 2024
Retention of higher education students is of major concern within the United Kingdom due to the financial and reputational impact on institutions, financial and personal impact on students and loss of potential skills and knowledge within society. Student background characteristics are acknowledged as the initial factors influencing retention…
Descriptors: Athletics, Exercise, Academic Persistence, College Students
Desy K. Sari; Supahar Supahar; Dadan Rosana; Pri A. C. Dinata; Muhammad Istiqlal – Journal of Pedagogical Research, 2025
As artificial intelligence [AI] increasingly permeates various sectors--including education, economics, healthcare, and government--a comprehensive understanding of this technology becomes essential. This analysis aims to identify four dimensions of AI literacy--awareness, usage, evaluation, and ethics--among Indonesian higher education students…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Foreign Countries
Ezgi Pelin Yildiz; Metin Çengel – International Education Studies, 2024
Social media has often started to be used as the first source for accessing information. Country agenda, general issues, research, new ideas, entertainment, shopping, instant communication and cooperation are the positive contributions of social media. Excessive use of social media in every aspect of life certainly causes harm. It causes serious…
Descriptors: Foreign Countries, Social Media, Addictive Behavior, Young Adults
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
Tugay Yilmaz – Shanlax International Journal of Education, 2023
Aim: This research aims to examine the students studying at the faculty of sports sciences and physical education and sports colleges by different variables according to the multidimensional sportsmanship scale. Materials & Methods: The universe of the research consists of students studying at the faculty of sports sciences at 7 Aralik…
Descriptors: College Students, Physical Education, Athletics, Sportsmanship
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
Gulgun Afacan Adanir; Gulshat Muhametjanova – International Journal of Research in Education and Science, 2024
There is growing concern about the influence of nomophobia among the majority of young people, attributed to excessive mobile phone use. This study aims to investigate the nomophobia levels of Azerbaijani and Kyrgyz university students. The Nomophobia Questionnaire (NMP-Q) was employed as the data collection tool. Data were collected from…
Descriptors: Telecommunications, Handheld Devices, Student Attitudes, College Students
Xiaolin Wang; Xuezhen Yang; Nasnoor Juzaily bin Mohd Nasiruddin; Shasha Wei; Delong Dong; Shamsulariffin bin Samsudin – Health Education & Behavior, 2024
Although physical activity (PA) has a profound impact on health, many college and university students are still physically inactive. There is some evidence to suggest that social support (SS) could impact the PA levels of students, but the internal relationship and specific effects are not very clear. The purpose of this review was to determine…
Descriptors: Physical Activity Level, College Students, Social Support Groups, Gender Differences
Jonathan Paris; Sawsen Lakhal; Joséphine Mukamurera – Educational Technology & Society, 2025
The extensive adoption of online education by universities worldwide was further propelled by the coronavirus disease pandemic (COVID-19), giving rise to a key challenge: high dropout rates. Previous studies based on the Community of Inquiry (CoI) framework have examined the effects of social presence (SP), cognitive presence (CP), and teaching…
Descriptors: Student Satisfaction, Academic Persistence, College Students, Online Courses
Veli Ozan Cakir; Cagri Ilk; Cemal Guler – European Journal of Educational Sciences, 2023
This study aimed to investigate the level of social media addiction among university students. The sample group comprised a total of 238 participants, 56.7% of whom are female and 43.3% of whom are male, enrolled at Istanbul University-Cerrahpasa Faculty of Sports Sciences. The data were collected using a personal information form and the 5-point…
Descriptors: Social Media, Internet, College Students, Foreign Countries
Hakan Kilinc; Nil Goksel – Turkish Online Journal of Distance Education, 2024
As information and communication technologies and learner characteristics in higher education develop, so do distance education methods, which are implemented at various levels by higher education institutions. The involvement of students in the learning process is one of the most crucial factors to consider throughout the distance education…
Descriptors: Foreign Countries, College Students, Open Education, Distance Education