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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
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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
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Mauricio Blanco-Molina; Sacramento Pinazo-Hernandis; José M. Tomas – Educational Gerontology, 2025
The aim of this research is to compare a series of subjective indicators of healthy aging. We analyzed two samples of people 60 years or older enrolled in university courses in two public universities, the National University (Costa Rica, N = 206) and the University of Valencia (Spain, N = 857). The subjective indicators of successful aging…
Descriptors: Aging (Individuals), Older Adults, College Students, Foreign Countries
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Ryan Lee; Michele Nicolo; Eric S. Kawaguchi; Howard Hu; Angie Ghanem-Uzqueda; Frank Gilliland; Jeffrey D. Klausner; Lourdes Baezconde-Garbanati; Andrea Kovacs; Sarah Van Orman; Sheridan Coomer; Daniel Soto; Jennifer B. Unger – Journal of American College Health, 2025
Objective, Participants, & Methods: The COVID-19 pandemic has exacerbated mental health challenges of university students, staff, and faculty alike. We used linear mixed models to examine demographic predictors of, and change over time in, self-reported depression and anxiety symptoms of a cohort of university students and staff/faculty…
Descriptors: COVID-19, Pandemics, Depression (Psychology), Anxiety
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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
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Stanislaw Fel; Jaroslaw Kozak – British Educational Research Journal, 2025
The present paper aims to determine and compare religiosity levels in university students (n = 2098) from the United Kingdom (n = 1010) and Poland and to attempt an explanation of how nationality differences in the cultural context and affiliations with different religious traditions influence their religiosity. The current global trends regarding…
Descriptors: College Students, Religious Factors, Religion, Foreign Countries
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Ayse Alkan – International Journal of Technology in Education and Science, 2025
COVID-19's impact catalyzed the integration of distance education into our lives, shaping a crucial facet of modern learning. Initially, students, educators, and administrators encountered diverse challenges in navigating this paradigm shift. Swiftly addressing these hurdles promises enhanced efficacy in remote education. This research, blending…
Descriptors: Student Adjustment, Distance Education, Elementary Secondary Education, College Students
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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
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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
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Keston G. Lindsay; Jessica B. Kirby; Brynn C. Adamson – International Journal of Research in Education and Science, 2024
This study aimed to validate a modified Statistics Anxiety Scale for students in the United States taking university courses. Modifications were made by changing the wording of several items to be consistent with American English, and to accommodate students taking statistics courses in various formats. Items were added to investigate anxiety…
Descriptors: Test Validity, Test Construction, College Students, Statistics Education
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Mike C. Parent; Nathaniel W. Woznicki; Jackie Yang – Journal of American College Health, 2024
Objective: Kratom use represents a growing risk for public health. The present study examined demographic and behavioral factors linked with kratom use. Participants: Participants were college students in the United States who participated in the 2019-2020 Healthy Minds Study. Methods: Participants completed survey-based assessment of kratom use…
Descriptors: Drug Abuse, College Students, Student Characteristics, Mental Health
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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
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Zamboanga, Byron L.; Merrill, Jennifer E.; Olthuis, Janine V.; Martin, Jessica L.; Cannon, Margeaux; Jarrell, Juliet T.; Meca, Alan; Milroy, Jeffrey J.; Wyrick, David L. – Journal of American College Health, 2023
Objective: Athletic involvement is linked to increased risk for heavy alcohol use among college students. We examined whether student-athletes from diverse racial/ethnic backgrounds differ with respect to heavy drinking and related consequences. Method: Participants were 15,135 student-athlete drinkers (50.7% female) from 170 NCAA member…
Descriptors: Racial Differences, Ethnicity, Gender Differences, Alcohol Abuse
Maria Y. Pena – ProQuest LLC, 2024
Efforts like holistic review admissions by nursing programs to create a more ethnically diverse student body have led to increased enrollment of students with underrepresented ethnic and cultural social identities. However, these students continue to experience higher attrition rates compared to their White, middle-class peers. Although both sense…
Descriptors: Student Attitudes, Sense of Belonging, Student Participation, Minority Group Students
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Kyle T. Ganson; Kelly Cuccolo; Jason M. Nagata – Journal of American College Health, 2025
Objective: To identify the association between loneliness and eating disorder symptomatology among a national sample of U.S. college students during COVID-19. Participants: Cross-sectional data from the 2020-2021 Healthy Minds Study (N = 96,645) were analyzed. Methods: Loneliness was measured using the UCLA 3-item Loneliness Scale and eating…
Descriptors: Psychological Patterns, Eating Disorders, Correlation, College Students
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