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Showing 1 to 15 of 133 results Save | Export
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Jesús J. Cambra-Fierro; María Fuentes Blasco; María-Eugenia Eugenia López-Pérez; Andreea Trifu – Education and Information Technologies, 2025
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and…
Descriptors: Educational Technology, Artificial Intelligence, College Faculty, Teacher Attitudes
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Yu-xi Wang; Li-ping Chen; Jia-yin Han – Education and Information Technologies, 2024
The study of students' willingness to use translation technology can motivate students to use the translation technology and improve their translation efficiency. This paper reports on a survey which collected 716 valid questionnaires from students in the Master-level Program in Translation and Interpreting. Structural equation modeling (SEM) was…
Descriptors: Student Attitudes, Graduate Students, Translation, Information Technology
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Tony Robinson – Journal of Educational Technology, 2025
Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Technology Integration
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Caleb Or – International Journal of Technology in Education and Science, 2024
The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…
Descriptors: Attitudes, Technological Literacy, Usability, Value Judgment
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Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
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Teng Ma; Ahmad Samed Al-Adwan; Na Li; Erick Purwanto; Wan Meng; Hai-Ning Liang – IEEE Transactions on Education, 2025
Contribution: This study has proposed a hybrid framework of acceptance and self-determination for the use of digital textbooks in higher education programming courses. The intertwined relationships between acceptance and self-determination factors, and their joint effects on student's engagement and learning performance are all examined.…
Descriptors: Textbooks, Electronic Publishing, College Students, Programming
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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
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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A. Devisakti; Muhammad Muftahu; Hu Xiaoling – Education and Information Technologies, 2024
While technological advances have led to digital transformation in many higher education institutions (HEIs), digital divide, especially among students in developing nations, is becoming a growing concern. This study aims to investigate the use of digital technology among B40 students (students from the lower socioeconomic backgrounds) in…
Descriptors: Foreign Countries, Higher Education, Educational Technology, Access to Computers
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Kaili Lu; Jianrong Zhu; Feng Pang; Zhi Liu – International Journal of Educational Technology in Higher Education, 2024
While test anxiety is a problem in asynchronous online courses, few studies have systematically investigated learning factors influencing test anxiety in asynchronous online courses. Additionally, emotional engagement has been identified as a mediator between learning factors and test anxiety. Therefore, this study clarified the mediating role of…
Descriptors: College Students, Test Anxiety, Online Courses, Emotional Response
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Md.Abu Issa Gazi; Muhammad Khalilur Rahman; Mohammad Bin Amin; Md Arafat Hossain; Moniya Sultana; Abdul Rahman bin S Senathirajah; Veronika Fenyves – Educational Process: International Journal, 2025
Background/purpose: The crisis caused by the COVID-19 pandemic has altered the direction of education worldwide, emphasizing the prospects and problems of using online learning platforms. This study aims to investigate the dual aspects of COVID-19 (positive and negative) on facilitating conditions for learning quality that affect students'…
Descriptors: COVID-19, Pandemics, Student Attitudes, Online Courses
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Shuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Fengyao Sun; Peiyao Tian; Daner Sun; Yanhua Fan; Yuqin Yang – British Journal of Educational Technology, 2024
In the ever-evolving AI-driven education, integrating AI technologies into teaching practices has become increasingly imperative for aspiring STEM educators. Yet, there remains a dearth of studies exploring pre-service STEM teachers' readiness to incorporate AI into their teaching practices. This study examined the factors influencing teachers'…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
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Moses Kumi Asamoah; Yaw Oheneba-Sakyi – E-Learning and Digital Media, 2024
The current surge in the usage of Internet, multimedia, and educational technologies as well as the exigencies of the COVID-19 pandemic has imposed ICT-driven education globally. One of the tools deployed for ICT-mediated teaching and learning is the Learning Management System (LMS). Unfortunately, some lecturers' adoption or use of the LMS for…
Descriptors: Foreign Countries, College Faculty, Technology Integration, Learning Management Systems
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Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
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