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Yuxia Ma – European Journal of Education, 2025
The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners are willing to adopt the technology. This study, grounded in the Theory of Planned Behaviour (TPB), investigated the factors influencing the behavioural intention to…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Gifty Edna Anani; Ernest Nyamekye; Daniel Bafour-Koduah – Discover Education, 2025
This research explores postgraduate students' attitudes and use of Artificial Intelligence (AI) tools in academic writing, using the Theory of Planned Behavior (TPB). Guided by the mixed method approach, quantitative and qualitative measures like questionnaires and interviews were adopted to gather data from postgraduate students. Descriptive…
Descriptors: Artificial Intelligence, Student Attitudes, Academic Language, Universities
Taufik Slamet; Thomas Brush; Kyungbin Kwon – Technology, Knowledge and Learning, 2025
This study aims to investigate the effects of competition through a digital leaderboard in gamified online discussions on learners' behavioral and cognitive engagement in learning. Twenty-three graduate students pursuing master's degree in instructional technology in a public university in Indonesia were involved in a five-week quasi-experiment (N…
Descriptors: Competition, Gamification, Computer Mediated Communication, Group Discussion
Shivakami Rajan; L. R. Niranjan – International Journal of Educational Management, 2025
Purpose: This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning and assessment using empirical data collected from postgraduate students. In addition, the study explores the student's intrinsic motivation for usage to understand student…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Creativity
Thijs Loonstra; Valentina C. Tassone; Zoë Robaey; Perry den Brok – Environmental Education Research, 2025
While environmental problems are urgent in modern society, they are especially difficult to tackle because of their normative and politically controversial nature. Universities may choose different theoretical paradigms for the teaching of environmental problems. However, limited theoretical and/or practical analysis has been undertaken of the…
Descriptors: Environmental Education, Models, Social Problems, Outcomes of Education
Hermann Astleitner; Sarah Schlick – Active Learning in Higher Education, 2025
Social media has a strong influence on the everyday lives of college students. A particular question of advanced research interest is whether social media also play a role when attending class. This exploratory study was aimed at designing a theoretical model that embraces such concepts. First, we identified that identity development, learning…
Descriptors: Social Media, College Students, Self Concept, Computer Use
Joseph Calvin Gagnon; Sungur Gurel; Brian R. Barber; David E. Houchins; Holly B. Lane; Erica D. McCray; Richard G. Lambert – Journal of Emotional and Behavioral Disorders, 2025
To address instructional challenges and poor academic outcomes of youth in juvenile correctional facilities (JCFs), we must understand how and why some teachers are effective and why students are responsive to instruction in these settings. We observed and coded teacher--student instructional interactions from 733 fifteen-minute classroom reading…
Descriptors: Correctional Education, Delinquency, Males, Students
B. Herawan Hayadi; Taqwa Hariguna – Contemporary Educational Technology, 2025
This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…
Descriptors: Student Behavior, Intention, Telecommunications, Handheld Devices
A. Devisakti; M. I. Rohayati – TechTrends: Linking Research and Practice to Improve Learning, 2025
Students from diverse backgrounds often face challenges that are not in parallel with the evolution of equitable assessments in higher education. Thus, this study employed the UTAUT model with the inclusion of additional constructs, namely self-efficacy and technology awareness, to examine the intention to use online assessments among diverse…
Descriptors: Computer Assisted Testing, Student Diversity, Self Efficacy, Technological Literacy
Sunkanmi Afeez Yekinni; Theresa Chinyere Ogbuanya – Discover Education, 2025
The realities of accidents free situation in academic workshops and classrooms are anchored on strict adherence to laboratory safety rules and regulations, and normal classroom behaviour. The reality is less abided by Electrical/Electronic Technology students in classroom and workshops in the universities, causing accidents that lead to minor and…
Descriptors: Foreign Countries, Undergraduate Students, Technology Education, Electronics
Mehedi Hasan Anik; Shahriar Nafees Chowdhury Raaz; Nushat Khan – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) technologies, especially language models like ChatGPT, are revolutionizing academic writing by generating human-like text and supporting thesis development. While some research explores ChatGPT in academic writing, none compares the experiences of young researchers using AI for the first time versus non-users in their…
Descriptors: Artificial Intelligence, Theses, Research, Science Education
Smriti Mathur; Alok Tewari; Sushant Vishnoi; Vaishali Agarwal – Journal of International Education in Business, 2025
Purpose: The online learning environment is a function of dynamic market forces constantly restructuring the e-learning landscape's complete ecosystemcape. This study aims to propose an e-learning framework by integrating the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) to predict students' Online Learning Readiness and…
Descriptors: Electronic Learning, Student Behavior, Developing Nations, Usability
Shiya Chen; Lu Huang; Rustam Shadiev; Peiying Hu – Education and Information Technologies, 2025
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources, a convenient platform for completing assignments, real-time interactive learning opportunities, and accurate feedback. However, there is a paucity of research exploring the perspectives of elementary…
Descriptors: Elementary School Students, Student Attitudes, Intention, Electronic Learning
Anjee Gorkhali; Asim Shrestha – International Journal of Information and Learning Technology, 2025
Purpose: Educators are raising ethical concerns over the use of ChatGPT in schools. They have implemented various strategies to minimize its use, particularly by labeling ChatGPT-produced work as plagiarism. However, the use of ChatGPT among students is still on the rise. Our study aims to find the behavioral motivation behind students' increased…
Descriptors: Self Concept, Prevention, Student Behavior, Artificial Intelligence
Vu Thanh Tam Nguyen; Hsiu-Ling Chen; Van Tran Kieu Nguyen – Journal of Computer Assisted Learning, 2025
Background: Social-emotional practices are crucial in today's educational landscape, fostering students' emotional intelligence, resilience and interpersonal skills. Integrating these practices into the gamified flipped classroom approach creates an enriched learning environment. However, there exists a notable research gap regarding the specific…
Descriptors: Social Emotional Learning, Gamification, Flipped Classroom, Emotional Response

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