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Showing 1 to 15 of 18 results Save | Export
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Sophia Mavridi – Technology in Language Teaching & Learning, 2025
This article proposes a critical typology of five emerging responses to artificial intelligence (AI) in language education, from prohibition and hype to critical engagement, highlighting the assumptions, tensions, and possibilities each orientation embodies. This typology serves as a reflective tool to examine how educators and institutions are…
Descriptors: Artificial Intelligence, Classification, Responses, Language Teachers
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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Ahmet Volkan Yüzüak; Emrah Higde; Zekiye Merve Öcal; Görkem Avci; Sinan Erten – International Journal of Assessment Tools in Education, 2025
In today's educational landscape, students have access to enriched learning environments through augmented and virtual reality (AR/VR) applications. Effective digital learning depends on identifying the key factors and learner attitudes that influence engagement and task performance. We focused more on preservice teachers' intentions to use AR/VR…
Descriptors: Computer Simulation, Computer Uses in Education, Preservice Teachers, Intention
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Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
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Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
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Michelle Xin Yi Tan; Yao Qu; Jue Wang – Higher Education Quarterly, 2025
The rapid adoption of generative artificial intelligence (GenAI) in higher education has raised questions about student use, academic integrity, and institutional regulation. This study examines students' perceptions of and compliance with GenAI regulations in higher education, using a Singaporean university as a case study. Adopting a…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Hae Sun Jung; Haein Lee; Keon Chul Park – SAGE Open, 2025
This study investigates user experience (UX) priorities in early childhood education applications by analyzing Korean-language user reviews using Bidirectional Encoder Representations from Transformers topic modeling (BERTopic). Eighteen latent topics were extracted and systematically mapped to the eight software quality characteristics defined by…
Descriptors: Early Childhood Education, Computer Uses in Education, Computer Software, Usability
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Nur Faizin; Muhammad Alfan; Abdul Basid; Mochammad Rizal Ramadhan; Siti Aisyah Panatik; Akhmad Nurul Kawakip – Discover Education, 2025
The emergence of artificial intelligence (AI) in education and religion in today's world has presented various challenges, such as plagiarisms, the credibility of AI and, its acceptance by students. This study uses an extended Technology Acceptance Model (TAM) framework to analyse Muslim students' perceptions towards the use of artificial…
Descriptors: Foreign Countries, Muslims, College Students, Student Attitudes
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Shanshan Qi; Ning Chen – International Journal of Education and Development using Information and Communication Technology, 2025
The use of e-learning methods in higher education is rapidly increasing worldwide. However, the relationship between students' acceptance of e-learning methods and their psychological adaptation remains uncertain. Events such as a global pandemic have brought significant changes to higher education while accelerating the popularity of e-learning.…
Descriptors: Higher Education, College Students, Electronic Learning, Computer Uses in Education
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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
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Amin Davoodi – Professional Development in Education, 2025
This study introduces a novel Connectivist model for professional development (PD) aimed at enhancing AI literacy among bilingual/ESL teachers in K-12 education. As AI technologies rapidly reshape educational landscapes, effective PD programs are essential to equip educators with the skills to integrate AI responsibly and equitably. Grounded in…
Descriptors: Bilingual Education, Artificial Intelligence, Faculty Development, Language Teachers
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Sankaranarayanan Paleeri; Sneha Parambath – Journal of Educational Technology, 2025
This study explored the perceptions of learners, teachers, and administrators on the role of artificial intelligence (AI) in the higher secondary school education scenario of Kerala. The study was a comprehensive survey, and sample groups included 360 students, 60 teachers, and 5 administrators. Both qualitative methods and quantitative techniques…
Descriptors: Artificial Intelligence, Computer Uses in Education, Student Attitudes, Teacher Attitudes
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Irum Alvi; Hager Khechine – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning, which emphasises cooperative group techniques, intersects with the evolving role of social media as a tool. Understanding how cultural values influence these dynamics is crucial for effectively integrating and utilising social media into collaborative learning environments. Objective: This research aims to…
Descriptors: Foreign Countries, College Students, Student Attitudes, Engineering Education
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Ferhan Sahin; Hatice Guler; Mehmet Akif Hasiloglu – Turkish Online Journal of Distance Education, 2025
The empirical evidence regarding the acceptance and use of hybrid education and online instructional technologies in mandatory educational contexts remains limited. Specifically, studies addressing instructors' acceptance and usage of these technologies in the context of hybrid education are even scarcer. This study aims to fill this gap by…
Descriptors: College Faculty, Computer Attitudes, Teacher Attitudes, Teacher Surveys
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Benjamin Brummernhenrich; Christian L. Paulus; Regina Jucks – British Journal of Educational Technology, 2025
Generative AI systems like chatbots are increasingly being introduced into learning, teaching and assessment scenarios at universities. While previous research suggests that users treat chatbots like humans, computer systems are still often perceived as less trustworthy, potentially impairing their usefulness in learning contexts. How are…
Descriptors: Higher Education, Artificial Intelligence, College Students, Feedback (Response)
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