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Gaurav Chopra; Preeti Bhaskar; Ajay Purohit; Artur Strzelecki – Education and Information Technologies, 2025
This comparative study explores the determinants affecting universities students' inclinations to adopt ChatGPT across India and Poland via the unified theory of acceptance and use of technology (UTAUT) model. The research employs a quantitative methodology by collecting data from 1074 students (528 from Poland and 546 from India) through a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Students
Juan Jesús Torres-Gordillo; Carolina Sanhueza – Journal of Education and e-Learning Research, 2025
This article examines AI use in early and primary education, identifying ethical and pedagogical challenges for equitable policies. It also highlights research gaps on how technologies such as chatbots worsen educational inequalities, especially across gender and socioeconomic contexts and emphasizes the need for regulations ensuring responsible…
Descriptors: Artificial Intelligence, Technology Uses in Education, Public Policy, Higher Education
Emilia Eichinger; Verena Oberhofer; Christian Seifert; Simon J. Preis – International Journal on E-Learning, 2025
Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Artificial Intelligence
Yingying Jiang; Lindai Xie; Xiaoyu Cao – Higher Education Quarterly, 2025
As generative artificial intelligence (Gen AI) becomes more integrated into higher education, institutions struggle to communicate clear and effective policies. This multiple-methods study examines survey and interview data collected with 124 undergraduates and seven faculty members from two U.S. R1 universities regarding their perceptions of…
Descriptors: Educational Policy, School Policy, Technology Uses in Education, Artificial Intelligence
Richard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
Adtani, Rachana; Arora, Rachna; Raut, Rajesh; Neelam, Netra – Higher Education, Skills and Work-based Learning, 2023
Purpose: This study examines students' perspectives towards the utilization of information and communication technology (ICT), during this sudden shift to remote online education due to COVID-19 worldwide pandemic. The aim is to identify the predictors of learning outcomes and understand if they are here to exist as the new normal.…
Descriptors: Information Technology, Technology Uses in Education, Higher Education, Distance Education
Kamdjou, Herve D. Teguim – Open Education Studies, 2023
This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…
Descriptors: Outcomes of Education, Artificial Intelligence, Human Capital, Regression (Statistics)
Melissa Bond – International Journal of Educational Technology in Higher Education, 2024
In celebrating the 20th anniversary of the "International Journal of Educational Technology in Higher Education (IJETHE)," previously known as the "Revista de Universidad y Sociedad del Conocimiento (RUSC)," it is timely to reflect upon the shape and depth of educational technology research as it has appeared within the…
Descriptors: Periodicals, Journal Articles, Educational Technology, Higher Education
Al-Hunaiyyan, Ahmed A.; Alhajri, Rana; Alzayed, Asaad; Al-Sharrah, Ahmed – International Journal of Virtual and Personal Learning Environments, 2022
Higher education (HE) in Kuwait suffers from high dropout rates, and one of the leading causes of this desertion is a lack of academic advising. Effective academic advising systems must fulfill its user's needs and provide a positive user experience (UX), which allows users to successfully and effectively fulfill their goals. This study used…
Descriptors: Higher Education, Academic Advising, Student Attitudes, Foreign Countries
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
Theo Bastiaens, Editor – Association for the Advancement of Computing in Education, 2024
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in Brussels,…
Descriptors: Educational Technology, Foreign Countries, Elementary Secondary Education, Electronic Learning
Zhoc, Karen C. H.; Li, Johnson C. H.; Webster, Beverley J. – Journal of Psychoeducational Assessment, 2017
Emotional Intelligence Scale (EIS) is a popular EI measure. Yet, it has been criticized for an unclear factor structure, and its psychometric properties were mainly examined in the Western context. This study was to evaluate its psychometric properties based on 1,724 Hong Kong undergraduate students, including its (a) factor structure, (b)…
Descriptors: Validity, Reliability, Emotional Intelligence, Measures (Individuals)
Relojo, Dennis; Pilao, Sonia Janice; Dela Rosa, Rona – Journal on Educational Psychology, 2015
Positive thinking, in conjunction with a robust attitude, can affect one's well-being and coping strategies under stressful events. This study sought to identify the role of Emotional Quotient (EQ) to Work Attitude Behaviour (WAB) of selected faculty members from three higher educational institutions in the Philippines. Using a non-experimental…
Descriptors: Foreign Countries, Emotional Intelligence, Predictor Variables, Work Attitudes
Akerson, Valari, Ed.; Sahin, Ismail, Ed. – Online Submission, 2020
"International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES) which took place on October 15-18, 2020 in Chicago, IL, USA. The aim of the conference is to offer opportunities to share your ideas, to discuss theoretical and practical…
Descriptors: Conference Papers, Social Sciences, Undergraduate Students, Engineering Education
Verniers, Catherine; Martinot, Delphine – Social Psychology of Education: An International Journal, 2015
The aim of the present study was to test whether the content of a gender stereotype concerning general academic achievement matched the characteristics deemed to predict success in the fields of higher education dominated by women and men respectively. A sample of 207 undergraduate students rated the extent to which characteristics ascribed to…
Descriptors: Undergraduate Students, Academic Achievement, Higher Education, Gender Differences
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