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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Xinrui Sui; Qicong Lin; Qi Wang; Haipeng Wan – Education and Information Technologies, 2025
This study explores the role of Artificial Intelligence Generated Content (AIGC) in undergraduates' learning and research, and its increasing significance in higher education. Against this backdrop, understanding college students' attitudes, behaviors, and intentions towards AIGC is beneficial for better guiding their learning under the support of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Higher Education
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
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
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)
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
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
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
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
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
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
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
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
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

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