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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
Ernest Opoku; Dominic Owusu; Francis Arthur; Iddrisu Salifu; Emmanuel Quayson; Eric Boateng; Francis Obeng Gyedu; Stanley Asare-Bediako; Emmanuel Rungson Attom; Solomon Adjatey Tetteh; Sharon Abam Nortey; Ayishatu Ameen – Discover Education, 2025
The evolving landscape of higher education requires a better understanding of students' cognitive strengths, especially in complex disciplines such as Economics where multiple approaches to problem solving are essential. This study explored students' multiple intelligences (MI) approach to learning Economics and examined gender differences in the…
Descriptors: College Students, Profiles, Multiple Intelligences, Economics Education
John Mark R. Asio; Dante P. Sardina – Journal of Pedagogical Research, 2025
Artificial Intelligence (AI) is taking the educational system by storm due to its various implications and endless possibilities. Nevertheless, the teachers, the schools, and most importantly, the students have different perspectives on using AI in their learning experience, especially when gender is involved. In this study, the proponents delve…
Descriptors: Gender Differences, Artificial Intelligence, Technology Uses in Education, Anxiety
Rosa de Las Heras-Fernández; María Jesús Cuellar-Moreno; María Espada Mateos; Juana María Anguita Acero – Research in Dance Education, 2025
Choosing a Teaching Style is an important decision which affects the different elements of teaching, as well as the students, both men and women. Consequently, this study aims at determining the differences that exist in the emotional intelligence skills in learning dance depending on students' sex, analysing the preferences for the Command…
Descriptors: Teaching Styles, College Students, Dance Education, College Faculty
Volkan Burak Kibici – International Journal of Education in Mathematics, Science and Technology, 2025
This research aimed to investigate the relationship between the digital literacy levels of university students enrolled in art education and their attitudes towards Artificial Intelligence (AI) technologies. The study utilized a relational survey model and was conducted with a total of 229 students studying in fine arts, music, visual arts…
Descriptors: Foreign Countries, College Students, Technological Literacy, Art Education
Patricia del Pilar Diaz Gamarra; Fernando Joel Rosario Quiroz; Erika Roxana Estrada Alomía; Roxana Maribel Cárdenas Vila – Electronic Journal of Research in Educational Psychology, 2025
Introduction: The study of emotional regulation in university students is of great importance given the negative consequences of stress and mental distress caused by emotional dysregulation. The purpose of the study therefore was to carry out confirmatory factor and invariance analysis of Difficulties in Emotional Regulation Scale Short Form,…
Descriptors: Foreign Countries, College Students, Mental Health, Emotional Intelligence
Khalid Bashir Hajam; Sanjib Gahir – Journal of Educational Technology Systems, 2024
The research seeks to delve into and comprehend the attitudes of university students regarding artificial intelligence (AI) and to identify potential factors influencing these attitudes. The research employs a descriptive research design with a quantitative approach. A sample of 240 university students, including both males and females, was…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Gender Differences
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
Khalida Rauf; Naveed Iqbal – Journal of Education and Educational Development, 2024
This study was conducted to find the relationship of test-anxiety, emotional intelligence and academic performance of public private sector university students. A sample of 388 students, 194 male and 194 females was drawn through convenient sampling from the Public and Private universities of Karachi in Pakistan, using a cross sectional design.…
Descriptors: Test Anxiety, Emotional Intelligence, Academic Achievement, 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
Rachel-Tzofia Sinvani; Haya Fogel-Grinvald; Shimon Sapir – Journal of Speech, Language, and Hearing Research, 2024
Purpose: We studied the role of gender in metacognition of voice emotion recognition ability (ERA), reflected by self-rated confidence (SRC). To this end, we guided our study in two approaches: first, by examining the role of gender in voice ERA and SRC independently and second, by looking for gender effects on the ERA association with SRC.…
Descriptors: Gender Differences, Metacognition, Emotional Response, Self Esteem
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Caroline V. Bhowmik; Mitja D. Back; Steffen Nestler; Friedrich-Wilhelm Schrader – Social Psychology of Education: An International Journal, 2025
Which behavioral and visual information do teachers rely on when judging relevant characteristics of their students and which cues should they rely on? Drawing on Brunswik's Lens Model (Perception and the representative design of psychological experiments, University of California Press, 1956. https://doi-org.bibliotheek.ehb.be/10.1525/9780520350519), we…
Descriptors: Evaluative Thinking, Accuracy, Teacher Attitudes, College Students
Ayse Merzifonluoglu; Habibe Gunes – European Journal of Education, 2025
Artificial intelligence (AI) is significantly shaping education and currently influencing pre-service teachers' academic and professional journeys. To explore this influence, the present study examines 389 Generation Z pre-service teachers' attitudes towards AI and its impact on educational decision-making at two state universities, using an…
Descriptors: Decision Making, Artificial Intelligence, Teacher Attitudes, Age Groups
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

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