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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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Victoria Hogan; Mary Pat O'Malley; Michael Hogan; Margaret Hodgins – International Journal of Language & Communication Disorders, 2025
Background: Few studies have examined well-being among speech and language therapists (SLTs), and no study to date has examined quality of working life. Research is also needed to better understand how individual and organisational factors influence quality of working life and well-being of SLTs. Aims: The aims of this study were to characterise…
Descriptors: Speech Language Pathology, Allied Health Personnel, Well Being, Foreign Countries
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Yashasvi Walia; Rajnish Kumar Gupta – Cognitive Research: Principles and Implications, 2025
Cognitive conflict and risk-taking behaviors are linked in complex ways. This study examined whether threat sensitivity explains the relationship between conflict monitoring and risk-taking in young adults. A sample of 204 university students (ages 18-25, mean = 20.55, SD = 2.14) completed a computerized Stroop task (cognitive conflict), the RT-18…
Descriptors: Foreign Countries, Young Adults, College Students, Interference (Learning)
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Chenxi Liu; Ana-Paula Correia; Young Min Kim – Educational Technology Research and Development, 2025
Mobile learning can positively impact learning in different aspects, but the retention rate of mobile learning applications could be better. Based on the Technology Acceptance Model and the updated DeLone and McLean Information System Success Model, this study develops a novel model to examine the determinants of learners' acceptance of mobile…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Learning Activities
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Tony Robinson – Journal of Educational Technology, 2025
Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Technology Integration
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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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Irum Alvi – IAFOR Journal of Education, 2025
Gamified learning apps have proliferated for language learning in contemporary Higher Educational contexts, owing to their capacity to enhance learner engagement and motivation. However, limited empirical attention has been given to the psychological and cognitive mechanisms through which learners' interactions with gamified elements translate…
Descriptors: Second Language Learning, Gamification, Technology Uses in Education, Computer Software
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Saeed Alzahrani; Anish Kumar Bhunia – Educational Process: International Journal, 2025
Background/purpose: The present study utilizes an integrated theoretical framework that integrates the Theory of Planned Behaviour, Technology Acceptance Model, and Value-Based Adoption Model to explore the effects of Digital Literacy (DL) on the behavioral intention of the Saudi Generation Z students toward adopting Fintech (FAI). It emphasizes…
Descriptors: Foreign Countries, Technology Integration, Educational Technology, Technological Literacy
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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
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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
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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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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
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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
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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
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