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Showing 1 to 15 of 93 results Save | Export
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Meral Yavuz Kartal; Dinçay Koksal – Novitas-ROYAL (Research on Youth and Language), 2025
Using technology in foreign language learning can provide a variety of possibilities, significant opportunities, and significant benefits. Considering that Generation Z is a generation born into technology and grew up with it, it is critical to understand the intentions of Generation Z students to use technology in learning English and to find out…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Student Attitudes
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Tribikram Budhathoki; Araz Zirar; Eric Tchouamou Njoya; Achyut Timsina – Studies in Higher Education, 2024
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Adoption (Ideas), Anxiety, Computer Attitudes, Artificial Intelligence
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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning
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Okocha, Foluke – International Journal of Web-Based Learning and Teaching Technologies, 2022
Computer Based Testing has become a prominent method in student assessment in Nigeria and student perception on this testing technique is paramount. This study examined the perception of undergraduate students towards computer based testing by comparing several modules studied by Undergraduate students in Nigeria which constitutes a major gap in…
Descriptors: Student Attitudes, Computer Assisted Testing, Foreign Countries, Undergraduate Students
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Gutierrez-Aguilar, Olger; Talavera-Mendoza, Fabiola; Chicaña-Huanca, Sandra; Cano-Villafuerte, Sharmila; Sotillo-Velásquez, José Antonio – Journal of Technology and Science Education, 2023
The aim of this research has enabled us to establish the influential relationship between factors associated with e-learning, such as individual impact and depression, and the mediating role in psychological distress and computer anxiety related to the fear of failing an academic year in times of COVID-19 in university students at two universities…
Descriptors: Electronic Learning, Academic Failure, Fear, COVID-19
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Kashive, Neerja; Mohite, Sayali – Interactive Technology and Smart Education, 2023
Purpose: This study aims to look at the integration of gamification in an e-learning model based on the technology acceptance model. The data was collected from respondents residing in India and elements of gamification (achievement, immersion and social) and personal characteristics of learners (self-efficacy, computer anxiety and enjoyment) and…
Descriptors: Gamification, Electronic Learning, Learning Experience, Foreign Countries
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Norah Basheer Alotaibi – Education and Information Technologies, 2025
Information and Communication Technology (ICT) has profoundly impacted social, psychological, and physical well-being, presenting positive and negative effects. This study primarily explores the negative aspects, specifically technostress, and its influence on mobile learning (m-learning) among university students, a crucial area with limited…
Descriptors: Electronic Learning, Academic Achievement, Undergraduate Students, Foreign Countries
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Tamba, Georgiana Ioana; Iancu, Ioana – Research in Social Sciences and Technology, 2023
Digital communication is a great facilitator of human connection, positively contributing to life satisfaction and prosocial behavior. However, the existing findings also insist on the drawbacks of the digital communication, as low levels of wellbeing satisfaction, or happiness. Thus, aiming to reconciliate the two sets of assumptions and relying…
Descriptors: Telecommunications, Handheld Devices, Usability, Value Judgment
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Wu, Ting-Fang; Chen, Cheng-Ming – Journal of Special Education Technology, 2023
The purpose of the current study was to develop an appropriate model to represent the relationships among all the significant factors about information and communication technology use for university students, both with and without learning disabilities. This study was conducted in Taiwan with a sample consisting of an international array of…
Descriptors: College Students, Students with Disabilities, Learning Disabilities, Models
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Nuryatin, Agus; Mukhibad, Hasan; Tusyanah, Tusyanah – European Journal of Educational Research, 2022
This study aims to explain the success factors of e-learning. The participants were 427 students in public universities in Indonesia. To demonstrate the success of this e-learning, we developed a more comprehensive e-learning evaluation model that considers the system's characteristics, students, and instructors. The results show that higher…
Descriptors: Instructional Effectiveness, Electronic Learning, College Students, Social Differences
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Nja, Cecilia Obi; Idiege, Kimson Joseph; Uwe, Uduak Edet; Meremikwu, Anne Ndidi; Ekon, Esther Etop; Erim, Costly Manyo; Ukah, Julius Ukah; Eyo, Eneyo Okon; Anari, Mary Ideba; Cornelius-Ukpepi, Bernedette Umalili – Smart Learning Environments, 2023
This study investigated the factors influencing science teachers' 'Artificial Intelligence' (AI) utilization by using the 'Technology Acceptance Model' (TAM). The factors investigated alongside TAM variables were teachers' data like; age, sex, and residence type. TAM items that were correlated in this study included; self-esteem, stress and…
Descriptors: Science Teachers, Educational Technology, Technology Integration, Artificial Intelligence
Turgut, Mustafa; Ince, Murat – Online Submission, 2022
The aim of this study is to investigate the relationship between nomophobia and the level of using educational technologies in teachers working in the centre of Zonguldak. A total of 274 teachers, 128 female and 146 male, participated in this study which was conducted by using a relational survey model. "Scale for Determination of Level of…
Descriptors: Foreign Countries, Technology Uses in Education, Educational Technology, Teacher Attitudes
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Xinyu Liu; Yijia Liu – European Journal of Education, 2025
As artificial intelligence (AI) technology continues to advance, its influences across various industries have grown, leading to increasing levels of anxiety, including that in education. Nonetheless, in terms of current knowledge, the literature lacks a valid scale to measure AI anxiety among EFL teachers, particularly university EFL teachers.…
Descriptors: Artificial Intelligence, Anxiety, Second Language Instruction, English (Second Language)
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Harmandaoglu Baz, Esra; Cephe, Pasa Tevfik – Education and Information Technologies, 2022
This study aims to test a model investigating the contribution of computer self-efficacy, computer anxiety, constructivist teaching beliefs, and computer attitude to predicting English student teachers' behavioral intention to use information and communication technologies (ICT) in their future classes. The sample of the study consists of 861…
Descriptors: Foreign Countries, Self Efficacy, Computer Literacy, Anxiety
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