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Anna Korchak; Ghadah Al Murshidi; Aleksandra Getman; Noor Raouf; Marwa Arshe; Nawal Al Meheiri; Galina Shulgina; Jamie Costley – Innovations in Education and Teaching International, 2025
This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Artificial Intelligence
Yi Chen; Honghe Gao – SAGE Open, 2025
Against the backdrop of rapid advancements in information technology, Information and Communication Technology (ICT) has been widely applied in art education. Whether teachers accept and use these tools largely depends on their digital literacy. This study explores how teachers' digital literacy influences their ICT integration intention based on…
Descriptors: Technological Literacy, Technology Uses in Education, Art Education, Technology Integration
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
Hüseyin Gokal; Cem Ufuk Baytar – Turkish Online Journal of Educational Technology - TOJET, 2025
This study aims to examine university students' intentions to use artificial intelligence (AI) applications in their educational processes within the context of job characteristics (JC), technology characteristics (TC), task-technology fit (TTF), and self-efficacy (SE). The research was conducted with 965 students enrolled in Information…
Descriptors: College Students, Intention, Technology Uses in Education, Artificial Intelligence
Ravi Sankar Pasupuleti; Deevena Charitha Jangam; Anitha Bhimavarapu; Venkata Reddy Gunnam; Venkata Ramana Sikhakolli; Deepthi Thiyyagura – Electronic Journal of e-Learning, 2025
This research explores adoption of the Deepseek, an artificial intelligence (AI) platform among higher education students in India by integrating the Technology Acceptance Model (TAM) with learning motivation factors. Given the rapid rise of AI-based platforms in educational sector, understanding their adoption is not only timely but also…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, College Students
Ben Siu; John White – British Educational Research Journal, 2025
This study employs the Technology Readiness and Acceptance Model to uncover the factors influencing university students' intentions to adopt generative artificial intelligence (AI) technologies in higher education. With the rapid integration of Generative AI into academic contexts, understanding what drives students' intention to use these tools…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Students, Student Attitudes
Rosalyn H. Shute – Improving Schools, 2025
Addressing school bullying is a matter of social justice, but prevention and intervention efforts worldwide have achieved only modest results. Bullying has traditionally been conceptualised within psychology in terms of individuals' dysfunctionality, but research now also encompasses bullying based on bias rather than personal characteristics,…
Descriptors: Bullying, Social Bias, Definitions, Social Influences
Nena Vukelic; Darko Loncaric; Nena Roncevic – Journal of Teacher Education for Sustainability, 2025
The study aims to understand the relationship between predictors of student teachers' intention to implement education for sustainable development (ESD). It proposes and evaluates the intention to implement the ESD model, which identifies the following predictors of student teachers' intention to implement ESD: (I) teacher self-efficacy, (II)…
Descriptors: Preservice Teachers, Intention, Sustainable Development, Environmental Education
Merve Eker Çelebi; Fatma Taskin Ekici – International Journal of Assessment Tools in Education, 2025
The aim of this study is to develop a measurement tool entitled the Sustainable Consumption Behavior and Intention Scale (SuCBIS) that provides valid and reliable data for identifying individuals' sustainable consumption behaviors and their intentions within the framework of zero waste regulation. The scale was constructed based on the steps of…
Descriptors: Test Construction, Sustainability, Intention, Ecology
Mohammad Husam Alhumsi – Technology in Language Teaching & Learning, 2025
Several higher educational institutions have employed Learning Management Systems. The Blackboard Collaborate system, featured as one of the technological instructional systems, is an example of considerable and outstanding Learning Management Systems utilized by most universities. Nevertheless, literature revealed that there is a missing…
Descriptors: Foreign Countries, Learning Management Systems, Technology Uses in Education, Student Attitudes
Scotti, Paul S.; Maxcey, Ashleigh M. – Cognitive Research: Principles and Implications, 2021
Directed forgetting is a laboratory task in which subjects are told to remember some information and forget other information. In directed forgetting tasks, participants are able to exert intentional control over which information they retain in memory and which information they forget. Forgetting in this task appears to be mediated by intentional…
Descriptors: Memory, Executive Function, Recognition (Psychology), Intention
Liangliang Xia; Xin An; Xinyi Li; Yan Dong – Journal of Educational Computing Research, 2026
Student learning agency, encompassing key abilities, essential mental characteristics and active actions, is recognized as a crucial factor for effective teaching and learning in the generative artificial intelligence (AI) era. This study examines the structural relationships among perceptions of generative AI (i.e., effort expectancy, performance…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, College Students
Liping Guo; Enze Yang; Xiaoqiang Gao; Derui Ma – Psychology in the Schools, 2024
Improving the management of principals has been proven to be an effective strategy to reduce preschool teachers' turnover. However, relevant empirical evidence for preschool teachers is still insufficient. A total of 3623 preschool teachers from the Chinese mainland participated in the current study through random cluster sampling and were…
Descriptors: Principals, Administrator Behavior, Teacher Administrator Relationship, Preschool Teachers
Patricia Moreira; Vicente Talanquer – Chemistry Education Research and Practice, 2024
Teaching is a complex activity that demands paying attention to diverse components and relationships that affect the learning process, and acting with intentionality to build and nurture those connections. In this qualitative research study, we proposed and used an intentional-relational framework to explore differences in the relationships that…
Descriptors: College Faculty, Chemistry, Science Instruction, General Education
Aida Alisic; Bettina S. Wiese – International Journal for Educational and Vocational Guidance, 2024
The purpose of the present investigation is to analyze the relation of frustration tolerance and delay of gratification with PhD-intention and expectations. We conducted one correlational and two experimental studies. In Study 1 (N[subscript 1] = 171 undergraduates), we found the hypothesized positive association between delay of gratification and…
Descriptors: Psychological Patterns, Delay of Gratification, Undergraduate Students, Doctoral Students

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