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Arsheed Ahmad Dar; Shabir Ahmad Hurrah; Aamir Hassan; B. B. Mansuri; Ambreen Saleem – Industry and Higher Education, 2024
This study aims to examine the impact of students' entrepreneurial self-efficacy on their opportunity recognition capability after their exposure to classroom-based entrepreneurship education, leading to the development of intention to undertake an entrepreneurial activity. A detailed questionnaire was used to collect data from 351 students…
Descriptors: Entrepreneurship, Self Efficacy, Undergraduate Students, Graduate Students
Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
J. Broadbent; M. Bearman; D. Boud; P. Dawson – Higher Education: The International Journal of Higher Education Research, 2025
Following the COVID-19 pandemic, higher education teachers, having transitioned to new teaching methodologies, including online learning and modified assessment strategies, face the question: Do they intend to revert to pre-pandemic ways of operating or retain their new practices? A university-wide invitation with an incentive resulted in 63…
Descriptors: COVID-19, Pandemics, College Faculty, Educational Practices
Thanh Huong Nguyen; Do Anh Tu Ha – Educational Process: International Journal, 2025
Background/purpose: The study addresses the lack of clear policies and ethical concerns surrounding AI use in Vietnamese universities, where debates continue over balancing AI's benefits with risks of academic misconduct. This study seeks to investigate determinants of students' use of AI-powered study tools, by applying the Theory of Planned…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Intention
Battaglia, Daniele; Cucino, Valentina; Paolucci, Emilio; Piccaluga, Andrea – Studies in Higher Education, 2022
The literature on Entrepreneurial University has emphasised the importance of encouraging and supporting the entrepreneurial intent of students, both PhDs and undergraduates. However, more research is needed about how PhD students can be supported in their entrepreneurial and technology transfer initiatives. This study seeks to contribute to this…
Descriptors: Doctoral Students, Entrepreneurship, Technology Transfer, Foreign Countries
Keith McNaught; Colette Rhoding – Australian and International Journal of Rural Education, 2023
Understanding the rural intentions of medical students has the potential to improve the effective allocation of rural clinical placements, the demand for which regularly exceeds availability. Longitudinal studies on students' rural intentions have been published but a refined understanding of the spectrum of intentions is absent in the literature.…
Descriptors: Medical Students, Student Attitudes, Intention, Rural Education
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
Jullie Jeanette Sondakh; Joy Elly Tulung – Journal of Education and e-Learning Research, 2024
This study aims to predict accounting students' inclination toward a career in accounting in Indonesia by integrating the Social Cognitive Career Theory (SCCT) and the Theory of Reasoned Action (TRA). The research relies on primary data obtained through an online, closed-ended questionnaire. We employ Structural Equation Modeling (SEM) for the…
Descriptors: Prediction, Intention, Student Attitudes, Career Choice
Keng Fong Chau – International Journal of Educational Management, 2024
Purpose: This study aims to provide new insights into the relationship between individual characteristics, particularly personality traits and mature students' intention to use (ITU) mobile learning (m-learning). Design/methodology/approach: The research model was constructed by integrating the Big Five personality traits into the unified theory…
Descriptors: Electronic Learning, Individual Characteristics, Personality Traits, Intention
Vasiliki Paltsoglou; Kostas Zafiropoulos – Open Education Studies, 2025
The usage of artificial intelligence (AI) in education is quickly growing, with chatbots gaining popularity as potential tools for supporting teaching and learning. This study looks into the elements that influence teachers' willingness to use chatbots in their teaching techniques. Drawing on the Unified Theory of Acceptance and Use of Technology,…
Descriptors: Foreign Countries, Elementary School Teachers, Artificial Intelligence, Natural Language Processing
Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
Angélica Cristina Brandão Farias; Gustavo Hermínio Salati Marcondes de Moraes; Matheus Leite de Campos; Alexandre Cappellozza; Bruno Brandão Fischer; Rosley Anholon – Innovations in Education and Teaching International, 2024
This article aims to evaluate the moderating effect exerted by students' perceptions of the university support environment on the relationship between their respective entrepreneurial characteristics and entrepreneurial intentions. The subjective norms associated with the university support environment encompass perceptions on teaching activities,…
Descriptors: College Students, Student Attitudes, Universities, Entrepreneurship
Sonia Chawla; Gyan Prakash; Gursimranjit Singh; Japneet Kaur – Education and Information Technologies, 2024
Blockchain technology usage in education sector has a capacity to change the way academic records, diplomas, and credentials are maintained, communicated, and verified. Thus, this study aims at understanding the role of blockchain in the higher education sector. Mixed method approach was used in the study for a deeper understanding of the concept.…
Descriptors: Information Technology, Educational Technology, Information Management, Adoption (Ideas)
Elvira Barrios; Irene Acosta-Manzano – Language Teaching Research, 2025
This study aimed to identify associations and predictors of willingness to communicate (WTC) of adult foreign language (FL) learners and whether they are contingent upon the FL being learned. To this end, our research investigated learner variables associated with WTC in adult FL learners of English and of French in an under-researched field of…
Descriptors: Second Language Learning, English (Second Language), French, Foreign Countries
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

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