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Mohammad Islam Biswas; Md. Shamim Talukder; Yasheng Chen – International Journal of Educational Management, 2025
Purpose: The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research interest. This study investigates the factors influencing the intention, usage and recommendation of ChatGPT among university students by employing the…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Hieu Hoang Nguyen; Na Le Pham; Trang Thu Nguyen; Chau Minh Mai – Educational Process: International Journal, 2025
Background/purpose: The introduction of ChatGPT has rapidly transformed various aspects of life. It has raised concerns about its impact on current jobs, especially in education. The study aims to examine the factors that may influence university lecturers' intention to adopt ChatGPT in their work. Materials/methods: This study uses the Unified…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Lisa B. Limeri – CBE - Life Sciences Education, 2025
Mindset (beliefs about the malleability of intelligence) has been studied in a variety of contexts for decades. Recent research highlights the importance of contextual factors in moderating mindset's impact on student outcomes. The commonly-used original mindset measure is context-general. Recently, a mindset measure that is specific to science…
Descriptors: Science Education, Mathematics Education, Undergraduate Students, Student Attitudes
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Alejandro Álvarez-Marín; J. Ángel Velázquez-Iturbide; Mauricio Castillo-Vergara; Christian Acuña-Opazo – Innovations in Education and Teaching International, 2025
This study explores the moderating role of aesthetics and information quality on the technological acceptance of augmented reality. A technology acceptance model with the following variables was used: perceived ease of use, perceived usefulness, attitude towards using, and behavioural intention to use. Analysis was conducted by using structural…
Descriptors: Physical Environment, Computer Simulation, Synthesis, Simulated Environment
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Lindelani Mnguni – Journal for STEM Education Research, 2025
This paper explores pre-service life sciences teachers' behavioral intentions toward integrating artificial intelligence into life sciences teaching. Despite the growing influence of AI in education, there is limited understanding of the factors affecting teachers' willingness to integrate AI into life sciences teaching. These factors could inform…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Biological Sciences
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Liwei Hsu – European Journal of Education, 2025
As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…
Descriptors: Second Language Learning, English (Second Language), Artificial Intelligence, Student Attitudes
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Jérémie Verner-Filion; Anne C. Holding; Isabelle Gingras; Richard Koestner – Journal of Adolescence, 2025
Introduction: There is growing interest in the developmental consequences of extracurricular activities. While past research has mostly focused on the direct effect of extracurricular activities on outcomes (Farb and Matjasko 2012; Marsh and Kleitman 2002), the current study used a Self-Determination Theory (SDT) framework to test a serial…
Descriptors: Extracurricular Activities, Self Determination, Student Motivation, Student Needs
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Sahoo, Swagatika; Panda, Rajeev Kumar – Education & Training, 2019
Purpose: The purpose of this paper is to empirically investigate the impact of the contextual antecedents on the individual entrepreneurial orientation (IEO) of university graduates, which, in turn, affects their entrepreneurial intentions (EIs). Design/methodology/approach: Primary data were collected in the form of 510 valid responses from…
Descriptors: Entrepreneurship, Intention, College Students, Engineering Education
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de Oliveira, Manoela Ziebell; de Andrade, Alexsandro Luiz; Beria, Francielle Machado; Gomes, William Barbosa – International Journal for Educational and Vocational Guidance, 2019
Studies indicate that the costs resulting from voluntary turnover range from 93 to 200% of the annual salary for a single position, besides intangible losses for teams and individuals. The present study tested an explanatory model of turnover intention and a predictive model of voluntary turnover behavior among Brazilian employees. Participants…
Descriptors: Foreign Countries, Employee Attitudes, Labor Turnover, Intention
OECD Publishing, 2019
Just as a compass orients a traveller, the OECD Learning Compass 2030 indicates the knowledge, skills, attitudes, and values students need not just to weather the changes in our environment and in our daily lives, but to help shape the future. The Learning Compass 2030 is composed of seven elements: (1) core foundations; (2) transformative…
Descriptors: Learning Processes, Models, Intention, Expectation
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Anna-Lisa Max; Sarah Lukas; Holger Weitzel – British Journal of Educational Technology, 2024
The aim of this study was (1) to describe challenges prospective teachers perceive during project work in a pedagogical makerspace and coping strategies they develop to deal with the challenges, (2) to analyse the development of prospective teachers' TPACK and attitudes towards the use of ICT in class. Challenges regarding project work and coping…
Descriptors: Preservice Teachers, Shared Resources and Services, Technological Literacy, Pedagogical Content Knowledge
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Faten Hamad; Ahmed Shehata; Noura Al Hosni – International Journal of Educational Technology in Higher Education, 2024
The shift toward electronic learning due to the COVID-19 pandemic has created many opportunities to shape Oman's learning styles. This study explores the factors that affect students' acceptance of blended learning (BL) in higher education institutions in developing countries, focusing on Oman. The study examines the impact of demographic and…
Descriptors: Blended Learning, Teaching Methods, Outcomes of Education, Foreign Countries
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Tam T. Nguyen-Louie; Nathan F. Dieckmann; Hanzhe Zhang; Zachary H. Mastrich; Balca Alaybek; Alicia Richmond – American Journal of Sexuality Education, 2024
This study characterized the patterns and predictors of pre-post changes in knowledge, attitudes, beliefs, behaviors, and intentions (KABBIs) among 641 youth who completed evidence-based teen pregnancy prevention programs. At follow-up, 64.0% of youth showed changes knowledge, communication, and attitudes; 22.5% showed changes in knowledge,…
Descriptors: Youth, Disproportionate Representation, Disadvantaged, Minority Groups
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LaTanya L. Dixon; Suzanne M. Dugger; Hsien-Yuan Hsu – Educational Forum, 2024
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain a student's intent to declare a STEM major in the first semester of college. The results show only student-level factors…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
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Chiao Ling Huang; Chen Ling; Shu Ching Yang – European Journal of Psychology of Education, 2024
The popularity of Internet usage and the diverse and rich information available online make it easier for students to engage in academic misconduct, especially Internet plagiarism (IP). Therefore, this study investigated the IP intention of Chinese students and analyzed the influence of gender, educational level, achievement goals (AG), low…
Descriptors: Cheating, Student Attitudes, Student Experience, Intention
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