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Behera, Ranjit Kumar; Seth, Manas Kumar – Journal of Educational Technology, 2023
One of the unique contributions of technology in the field of Education is E-learning. The easy accessibility, flexible learning environment, and cost-effectiveness have made e-learning popular among students. Despite its many benefits, several problems have been faced by students, such as a lack of technical knowledge, computer experience, and…
Descriptors: Student Attitudes, Undergraduate Students, Electronic Learning, Gender Differences
Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
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
Sami E. Shaath; Tagreed B. Abed – Tertiary Education and Management, 2024
The current study investigated the effectiveness of teaching performance in seven faculties at Birzeit University from students' point of view. A questionnaire, consisting of (50) items based on the domains of teaching planning, teaching execution, personal features and communications skills and evaluating students' learning, was developed and…
Descriptors: Teacher Effectiveness, College Faculty, Student Attitudes, Foreign Countries
Jiayun Yan; Ting Wang – International Journal of Learning Technology, 2024
This study investigates the relationship between higher education students' demographic backgrounds and their interactions and experiences with online learning during the COVID-19 pandemic. Data were collected using a quantitative cross-sectional online survey of students across China. The survey was distributed from October 10, 2021, to October…
Descriptors: Demography, Differences, College Students, Electronic Learning
Elmira Uaidullakyzy; Sarsengul Jetpisbayeva; Saule Bazarbaevna Zhorayeva; Nurgul Shadiyeva – Novitas-ROYAL (Research on Youth and Language), 2024
This research evaluates future teachers' attitudes regarding developing educational culture through interactive technologies in higher education. The study group of this mixed methods research consists of 388 teacher candidates. Research data were collected using a scale developed by the researchers and the teacher candidates' semi-structured…
Descriptors: Preservice Teachers, Student Attitudes, Educational Technology, Technology Uses in Education
Siyao Chen; Li-fang Zhang; Mengting Li – Educational Psychology, 2025
Drawing on the job demands-resources model and conservation of resources theory, this study explored the roles of two types of resources, namely academic buoyancy (a personal resource) and perceived autonomy support (a social resource), and their interactive effect on self-regulated learning (an adaptive outcome), controlling for age, gender, and…
Descriptors: Doctoral Students, Self Management, Resilience (Psychology), Personal Autonomy
Singh, Falguni; Saini, Monika; Kumar, Ashish; Ramakrishna, Seeram; Debnath, Mousumi – Learning Environments Research, 2023
Cross-sectional research was designed using the Dundee Ready Education Environment Measure (DREEM) to examine the impact of the educational environment on students' perceptions of learning and teaching in a university offering higher education. Using a Likert scale, 300 participants from various streams were assessed. There were no disparities in…
Descriptors: Student Attitudes, Educational Environment, College Students, Teacher Student Relationship
Katerina Berková; Katarína Krpálková Krelová; Andrea Kubisová; Dagmar Frendlovská; Pavel Krpálek – Education & Training, 2024
Purpose: Many studies point out that a complication in the professional training is connected with the division of education into the formal and non-formal part. There is a need to integrate these two components to achieve a greater learning effect. The aim of the study is to find out whether students perceive non-formal education as important and…
Descriptors: Nonformal Education, Gender Differences, Educational Attainment, Intellectual Disciplines
Lei Zhao; Jiahui Liu; Ayaz Karimov; Mirka Saarela – International Journal of Educational Technology in Higher Education, 2025
Learning power has become a significant impacting factor on learning quality in digital age. This study is a survey at a university in China, using a questionnaire with seven evaluation indicators integrated into learning dimensions, to assess college students' digital learning power (DLP). The main findings are as follows. College students have…
Descriptors: Digital Literacy, Gender Differences, Intellectual Disciplines, Undergraduate Students
Çetin, Filiz; Göloglu Demir, Cennet – International Journal of Curriculum and Instructional Studies, 2023
This study aims to determine the attitudes of pre-service teachers towards the teachers' lounge. Differences between the attitudes of pre-service teachers towards the teachers' lounge in terms of gender, program, perception of the teaching profession, and the time spent in the teachers' lounge during the internship were examined. The research has…
Descriptors: Preservice Teachers, Student Attitudes, Gender Differences, Teaching (Occupation)
Wang, Faming; King, Ronnel B.; Chai, Ching Sing; Zhou, Ying – International Journal of Educational Technology in Higher Education, 2023
Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy-value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive…
Descriptors: Artificial Intelligence, College Students, Intention, Student Attitudes
Maoyan She; Yiyang Xu; Yuyan Luo; Peng Hu – SAGE Open, 2025
With the global rise of digital education, fragmented academic reading has attracted increasing attention, as an emerging learning mode among university students in various countries. This study explores the factors influencing university students' acceptance and use of fragmented academic reading through a comprehensive framework that integrates…
Descriptors: Undergraduate Students, Foreign Countries, Student Attitudes, Reading
Oguz Cetin; Gizem Celen – Journal of Education in Science, Environment and Health, 2025
This study aims to investigate the artificial intelligence (AI) literacy levels of pre-service teachers and their views on the use of AI in education. Adopting a mixed-methods approach, the study employed both quantitative and qualitative techniques to ensure comprehensive analysis. The quantitative data were collected using the "Artificial…
Descriptors: Artificial Intelligence, Technological Literacy, Preservice Teachers, Student Attitudes
Anne J. Maheux – Journal of Adolescence, 2025
Introduction: Healthcare, early education, and domestic (HEED) fields refer to feminine-typed care-oriented workforce domains. HEED fields remain dominated by women, yet this disparity and its developmental antecedents are often overlooked. This study investigated factors associated with early adolescents' interest in HEED professions. Methods: US…
Descriptors: Early Adolescents, Vocational Interests, Allied Health Occupations, Early Childhood Education

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