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Hongzhu Long; Jiangting Liu – SAGE Open, 2025
This study aims to investigate the influence of interaction on undergraduates' continuance intention to use Massive Open Online Courses based on the Expectation Confirmation Model (ECM) and to examine the moderating effect of gender. 235 undergraduates were randomly sampled and surveyed, providing self-reports on 10 constructs (student-student…
Descriptors: MOOCs, Student Attitudes, Undergraduate Students, Peer Relationship
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Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Ismaila Temitayo Sanusi; Enoch Shadrack Cudjoe; Musa Adekunle Ayanwale; Bisola Adepoju – SAGE Open, 2025
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile,…
Descriptors: Preservice Teachers, Student Attitudes, Programming, Computer Science Education
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Yuanqing Hu; Xinyue Yu; Yongbin Hu; Kangkang Li – Education and Information Technologies, 2025
The rapid advancement of generative artificial intelligence (GAI) has transformed academic research, especially for graduate students, who are progressively depending on GAI for diverse research activities. However, despite its potential to revolutionize research practices, a critical gap remains in understanding the factors that influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Graduate Students, Intention
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Sandeep Gajendragadkar; Rachna Arora; Rushabh Trivedi; Netra Neelam – Journal of Workplace Learning, 2024
Purpose: This study aims to explore the impact of "Performance Expectancy" (PE) on the performance of Indian automotive manufacturing employees through their "Behavioural Intention" (BI) in the context of digital learning within the volatile, uncertain, complex and ambiguous (VUCA) world. Design/methodology/approach: A…
Descriptors: Intention, Job Performance, Electronic Learning, Expectation
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Sultan Hammad Alshammari; Muna Eid Alrashidi – International Journal of Information and Communication Technology Education, 2024
The metaverse is a mixed blend of digital and tangible worlds, indicating the future directions of Internet sector development. This study aimed to assess the factors affecting students' intentions to use a metaverse platform. The unified theory of acceptance and use of technology was applied as the research model. Data were collected using a…
Descriptors: Intention, Computer Simulation, Student Attitudes, Foreign Countries
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Abdus Saboor; Muhammad Zahid Khan; Muhammad Nawaz Khan; Tariq Hussain; Razaz Waheeb Attar; Mrim M. Alnfiai; Nabil Sharaf Almalki – Education and Information Technologies, 2025
Online learning technologies have turned into an essential part of education, particularly in this cutting-edge era of ICT. These technologies are becoming more and more popular in increasing educational access in impoverished nations. The ongoing investigation looks into the variables impacting students' use of online learning technologies in…
Descriptors: Online Courses, Technology Uses in Education, Educational Technology, College Students
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Radu Bogdan Toma; Antonio García-Carmona; Juan Quílez – Journal of Research in Science Teaching, 2025
Integrated STEM education (iSTEMe) is increasingly emphasized in educational reforms around the world. These reforms prompted curricular changes in many countries, including Spain. In the Autonomous Community of Valencia, a new curriculum model was introduced that organized both STEM and non-STEM subjects into broader interdisciplinary domains,…
Descriptors: STEM Education, Educational Change, Teacher Motivation, Barriers
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Nurul Hafizul Mohamed; Abdul Halim Masnan; Lu Man Hong – Southeast Asia Early Childhood, 2024
Parental controls are a method of controlling who has access to smart devices because individuals may regulate who else in their family members, particularly younger ones, sees inappropriate websites. Indeed, parental control software provides the ability to select which applications are permitted on online devices, and it may also be used to see…
Descriptors: Foreign Countries, Parent Role, Computer Software, Parent Attitudes
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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
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Jiwon Chung; Hun-yeong Kwon – Education and Information Technologies, 2025
OpenAI's generative pre-trained transformer (ChatGPT) is rapidly transforming fields such as education and becoming an integral part of our daily lives. However, its rise has sparked intense privacy debates, raising concerns about the storage of personal information and attracting global regulatory scrutiny. ChatGPT is gaining popularity among…
Descriptors: Artificial Intelligence, Privacy, Technology Uses in Education, Undergraduate Students
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Domingo Verano-Tacoronte; Alicia Bolívar-Cruz; Silvia Sosa-Cabrera – Education and Information Technologies, 2025
This study investigates the role of technology-related anxiety in shaping university teachers' behavioral intention to adopt ChatGPT. Three distinct types of anxiety are examined: (a) anxiety about the future of the academic profession, (b) anxiety regarding the personal misuse of ChatGPT, and (c) anxiety concerning negative impacts on student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Anxiety, College Faculty
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Mohammed Nasiru Yakubu; Nakama David; Naima Hafiz Abubakar – Education and Information Technologies, 2025
Generative Artificial Intelligence tools have the potential to impact students learning significantly and positively in several ways. However, the factors responsible for student's behavioural intentions to use these tools are still not fully understood, especially in the context of Nigerian higher education institutions (HEIs). To support…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Intention
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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
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K. Kavitha; V. P. Joshith – Journal of Educational Technology Systems, 2025
ChatGPT, an advanced generative AI language model, has rapidly emerged as a transformative tool in education. This study explores the key determinants influencing the continuance intention of digitally native Gen Z students in higher education to engage with ChatGPT 4o. Employing the Expectation-Confirmation Model (ECM), the study examines the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Attitudes
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