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Li, Qian; Liu, Qian; Chen, Yi – Education and Information Technologies, 2023
"Virtual Reality" (VR) is increasingly being viewed as one of the most effective and efficient instructional tools in educational settings. The successful implementation of this innovative instructional technology presupposes teachers' acceptance and diffusion. And prospective teachers, as the teacher talent pool, their beliefs and…
Descriptors: Preservice Teachers, Student Attitudes, Computer Simulation, Technology Uses in Education
Tajibayeva, Zhibek; Nurgaliyeva, Saniya; Aubakirova, Kymbat; Ladzina, Natalya; Shaushekova, Bayan; Yespolova, Gulden; Taurbekova, Ainur – International Journal of Education in Mathematics, Science and Technology, 2023
The aim of this study is to examine the psychological, pedagogical and technological adaptation levels of repatriated students studying at different universities in Kazakhstan with a comparative and relational approach. In the research, since it is aimed to determine the psychological, pedagogical and technological adaptation levels of the…
Descriptors: College Students, Foreign Countries, Relocation, Adjustment (to Environment)
Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
Miao Miao; Mansoora Ahmed; Noman Ahsan; Bushra Qamar – International Journal of Educational Management, 2024
Purpose: The study aims to investigate students' attitudes toward using technology for micro-credential programs (MCPs) and their behavioral intention toward using MCPs for learning and enhancing their skills. The study also intends to investigate the moderating influence of labor market conditions (LMC). Design/methodology/approach: A…
Descriptors: Foreign Countries, College Students, Microcredentials, Technology Integration
Adefuye Adetayo Linus; Gboyega Ayodeji Aladesusi – International Journal of Education and Development using Information and Communication Technology, 2025
This study examined the relationship between College of Education students' attitudes, behavioral intentions, and actual use of online learning resources in North Central Nigeria. A structured questionnaire was used to collect data, which was then analyzed quantitatively. The findings show no significant relationship between students' perceptions…
Descriptors: Foreign Countries, Schools of Education, College Students, Student Attitudes
Louie Giray; Jomarie Jacob; Valerie Encanto; Crisza Joy Mansilungan – Journal of Academic Ethics, 2026
Employing a qualitative research design utilizing semi-structured interviews we explored the motivations of Filipino undergraduate students who admitted to using generative AI (GenAI) to cheat in their writing. Using the theory of planned behavior as a theoretical framework this study, we found that students reframed GenAI cheating as a legitimate…
Descriptors: Foreign Countries, Artificial Intelligence, Undergraduate Students, Cheating
Anamika Chandra; Sarthak Sengupta; Anurika Vaish – Education and Information Technologies, 2025
E-learning systems have strengthened the learning process among students by providing online learning opportunities to them. With the diminishing difference between the academic world and the job markets, students must get the full benefits of e-learning platforms. The disparity in online learning opportunities due to a lack of resources has…
Descriptors: College Students, Intention, Electronic Learning, Student Behavior
Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Katarína Žáková; Diana Urbano; Ricardo Cruz-Correia; José Luis Guzmán; Jakub Matišák – Education and Information Technologies, 2025
Understanding how students interact with AI bots is a first step towards integrating them into instructional design. In this report, the results of a survey conducted in three European higher education institutions, and in the context of four different areas are presented. Among other things, they reveal for what purposes students use ChatGPT,…
Descriptors: Student Attitudes, Teacher Attitudes, Artificial Intelligence, Natural Language Processing
Emmanuel John Anagu; Oladunjoye John Abiodun; Felicia Cletus; Brown Ephraim – International Journal of Technology in Education and Science, 2024
Metaverse, an amalgamation of diverse information technologies, is seen as the future of the internet and holds promise for transforming education. Leveraging metaverse media for immersive learning has the potential to reshape education practices. Despite being a novel concept, metaverse-based education has the capacity to enrich online learning…
Descriptors: Computer Simulation, Foreign Countries, Universities, Student Attitudes
Hasan, Asif; Habib, Sufyan; Khan, Mohammed Arshad; Hamadneh, Nawaf N. – International Journal of Information and Communication Technology Education, 2023
This study aims to explore the various factors influencing students in adopting e-learning in educational institutions in Saudi Arabia and analyze the relationship between factors of students' adoption of e-learning and student behavior intention. The study also analyzes perceived opportunities and challenges faced by students in adopting an…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, College Students
Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa – Smart Learning Environments, 2021
The social distancing due to the COVID-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may…
Descriptors: Student Behavior, Intention, Adoption (Ideas), Technology Integration
Al-Qaysi, Noor; Mohamad-Nordin, Norhisham; Al-Emran, Mostafa – Interactive Learning Environments, 2023
To identify the most frequent factors that showed significant results in the previous literature of social media, a quantitative systematic approach of 713 studies was conducted. The results showed that perceived enjoyment (PE), subjective norm (SN), self-efficacy (SE), perceived critical mass (PCM), facilitating conditions (FC), perceived…
Descriptors: Social Media, Higher Education, Student Behavior, Student Attitudes
Legramante, Douglas; Azevedo, Ana; Azevedo, Jose Manuel – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to analyse the factors that influence the satisfaction and intention of continuity of use, of teachers and students, regarding using Moodle in undergraduate courses in one Campus at the Federal Institute of Rondônia in Brazil. The starting point was an integration of DeLone and McLean's Information Systems Success Model…
Descriptors: Technology Integration, Undergraduate Students, Learning Management Systems, Student Attitudes
Trinh Le Tan; Hoai Thu Thi Nguyen; Nguyen Chau Ngoc Khanh; Thanh Hien Thi Le; Uyen Truong Hoang Vo – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The study aims to analyze the elements/factors that impact students' augmented reality/virtual reality (AR/VR) adoption through their behavior in Vietnamese higher education. In particular, the research demonstrates the influences of and relationships between multiple goals, learner experience, and barriers to adopting AR/VR.…
Descriptors: Computer Simulation, Technology Uses in Education, Student Behavior, Learning Experience

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