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Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Erik Lundberg; Ali Abdelzadeh – Journal of Adolescence, 2025
Introduction: Current literature recognizes that various socialization agents often shape political behavior. This study employs frameworks of political socialization and political agency to explore how extracurricular activities and political intentions established at age 16 influence aspects of political participation and civic engagement at age…
Descriptors: Foreign Countries, High School Students, Political Attitudes, Political Socialization
Eric Richardson; Jean Gordon; Richard Ginnetti; Rachel Carroll; Randyl Cochran; Laura Morris; Valerena Candy; Margaret Brown – Journal of Education Human Resources, 2025
Beyond informing human resources (HR) policies and practices, information gleaned from predictive analytics, visualized via dashboards, can increase awareness and prompt employee and management actions based on identified variables often related to intent to leave and employee wellness. While considerable research, relevant measurements, and tools…
Descriptors: Higher Education, Employee Attitudes, Labor Turnover, Occupational Mobility
Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Knowledge Management & E-Learning, 2025
Drawing on the technology acceptance model (TAM), self-determination theory (SDT), expectation-confirmation model (ECM), and massive open online courses (MOOCs) design effects, the present work introduced a conceptual model for understanding the fine-grained mechanism underlying learner satisfaction and continuance intention. A structural equation…
Descriptors: Foreign Countries, Technology Uses in Education, Self Determination, Expectation
Areen Hazzan-Bishara; Ofrit Kol; Shalom Levy – Education and Information Technologies, 2025
This study examines factors influencing teachers' intention to adopt Generative AI technologies in education by extending the Technology Acceptance Model (TAM). The proposed comprehensive model incorporates both external factors (exposure to AI information, information credibility, and institutional support) and internal factors (intrinsic…
Descriptors: Technology Uses in Education, Artificial Intelligence, Teacher Attitudes, Computer Attitudes
Ayesha C. Penuela; Maylin P. Habaña; Ryan Michael F. Oducado; John Erwin P. Pedroso; Ernie A. Bonzo; Khen A. Tamdang – Journal of Education and Learning (EduLearn), 2025
The proliferation of ChatGPT in educational contexts and incorporating such technology into students' academic lives raise intriguing questions. Understanding the factors influencing the intention to adopt this novel technology is necessary for better integration and utilization. This study determined the correlates of intention to use ChatGPT…
Descriptors: Technology Uses in Education, Artificial Intelligence, Intention, College Freshmen
Brian Shambare; Thuthukile Jita – Education and Information Technologies, 2025
Virtual learning technologies have become integral in education globally, with developed countries leading in implementation. In contrast, Global South countries like South Africa are only beginning to conceptualise Virtual Laboratory (VL) integration, with limited practical implementation. This study underscores the importance of understanding…
Descriptors: Science Teachers, Teacher Attitudes, Computer Simulation, Science Laboratories
Claudia A. Rivera Munoz; Chi Baik; Tracii Ryan; Raoul A. Mulder – Student Success, 2025
Students' involvement in both curricular and extracurricular activities at university can foster a sense of belonging, and support academic persistence and achievement, particularly during the first year. For over a decade, universities have observed diminishing student engagement patterns. These include declining attendance at face-to-face…
Descriptors: College Freshmen, Student Participation, School Activities, Extracurricular Activities
Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Robert L. Moore; Chuang Wang; Lan Liu; Sophia Soomin Lee – Education and Information Technologies, 2025
This study introduces a novel Learner-Intention Continuum, spanning from curiosity and exploration to purposeful, goal-directed learning. This continuum fills a critical gap in understanding the diverse motivations of informal and semi-formal learners, specifically those who enroll in massive open online courses (MOOCs). Through latent class…
Descriptors: Personality Traits, Intention, MOOCs, Introductory Courses
Lucas Vasconcelos; Ismahan Arslan-Ari; Bridget Miller; Renato Gonzalez-Tapia – Education and Information Technologies, 2025
There is a large disconnect between the increasing need for computer science education in K-12 schools and the preservice teacher training provided. Consequently, preservice teachers may graduate feeling unprepared to infuse computer science concepts such as computational thinking (CT) into their teaching. To address this, we created Robotics in…
Descriptors: Early Childhood Education, STEM Education, Robotics, Preservice Teacher Education
Zarqa Shaheen; Pak Hang Tse – International Journal on E-Learning, 2025
Since ChatGPT offers free access for everyone, it has created a new phenomenon and has the potential to disrupt the education industry. The primary purpose of this quantitative study is to understand the factors that influence the use of ChatGPT in tertiary education, how it motivates students to learn and how the potential misuse negatively…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Intelligent Tutoring Systems
Lewes Peddell; Royce Willis; David Lynch; Christos Markopoulos; Darius Samojlowicz; Tony Yeigh; Declan Forrester – Mathematics Education Research Journal, 2025
This study employs the Theory of Planned Behaviour to investigate mathematics teachers' beliefs regarding their intention to collaborate regularly in an online community. The central premise is that initiating such a community necessitates an implementation strategy informed by a better understanding of underlying beliefs influencing teachers'…
Descriptors: Mathematics Teachers, Teacher Behavior, Intention, Teacher Participation
Daniel Makini Getuno; Ezra Kiprono Maritim; Fred Nyabuti Keraro – International Journal of Education and Development using Information and Communication Technology, 2025
This study advances an e-learning adoption model by exploring the link between Performance Expectancy (PE) and Behavioural Intention (BI) to adopt e-learning among undergraduate students in Kenya's public universities. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), data were collected from a sample of 388 respondents through…
Descriptors: Foreign Countries, Electronic Learning, Intention, Expectation

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