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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
Abdulmohsin A. Alshehri – Australian Journal of Applied Linguistics, 2025
This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…
Descriptors: Pronunciation, Computer Uses in Education, English (Second Language), Second Language Instruction
Liqaa Habeb Al-Obaydi; Marcel Pikhart; Md Kamal Hossain – Contemporary Educational Technology, 2025
Chatbots with artificial intelligence (AI) capabilities, such as ChatGPT, are an important tool for language learning because they provide an interactive and adaptive learning environment that can be adjusted to each learner's level of skill. This paper explores the application of ChatGPT, an advanced AI-powered chatbot, as a tool for language…
Descriptors: Artificial Intelligence, Computer Uses in Education, Language Skills, English (Second Language)
Zheng Zong; Christian Schunn; Meihui Zheng; Ying Gao – Australasian Journal of Educational Technology, 2025
Computer-based peer review systems have received extensive attention due to their rapid development and broad application. Although studies have generally found strong assessment validity and positive learning effects, several have found negative reactions in students. More work is needed to understand the reasons for students' negative reactions…
Descriptors: Peer Evaluation, Feedback (Response), Student Attitudes, Familiarity
Akhmad Habibi; Mailizar Mailizar; Lalu Nurul Yaqin; Turki Mesfer Alqahtani; Mukhlash Abrar; Budianto Hamuddin; Failasofah Failasofah – Journal of Technology and Science Education, 2024
This study examines the factors affecting the intention to use and actual use of YouTube in improving English-speaking skills in Indonesia. To meet the aims, we extended the theory of technology acceptance model (TAM); two external factors, subjective norms, and perceived enjoyment, to support the TAM variables (perceived ease of use, perceived…
Descriptors: Foreign Countries, College Students, English (Second Language), Language Skills
Basil Wahn; Laura Schmitz – Cognitive Research: Principles and Implications, 2024
With the increased sophistication of technology, humans have the possibility to offload a variety of tasks to algorithms. Here, we investigated whether the extent to which people are willing to offload an attentionally demanding task to an algorithm is modulated by the availability of a bonus task and by the knowledge about the algorithm's…
Descriptors: College Students, Algorithms, Cognitive Processes, Technology Uses in Education
García-Santillán, Arturo; Mexicano-Fernández, Esmeralda; Molchanova, Violetta S. – European Journal of Contemporary Education, 2021
The purpose of the study is to determine the degree of Internet addiction in engineering students. It takes as a theoretical reference the scale proposed by Young (1998), which establish the criteria and ranges of addiction. The instrument is in Likert format with responses ranging from 1 (rarely) to 5 (always). The participants were 306 students…
Descriptors: Internet, Addictive Behavior, Engineering Education, Foreign Countries
Yu-Hung Chiang; Yu-Chen Su; Wei-Tsong Wang; Tien-Chi Huang – Journal of Educational Computing Research, 2025
As big data and artificial intelligence become integral to business decision-making, business management students require proficiency in data science and big data. However, the use of instructional technologies, such as augmented reality (AR) and mind mapping to teach these subjects is limited. This study introduces an innovative pedagogical model…
Descriptors: Business Education, College Students, Foreign Countries, Data
Diego F. Angel-Urdinola; Marjorie Chinen – World Bank, 2025
This study evaluates the impact of incorporating mixed reality--including both augmented and virtual reality--into auto-mechanics training for students enrolled in selected public technical technological institutes in Ecuador. The intervention aims to enhance students' understanding of automotive mechanics by teaching the fundamental principles of…
Descriptors: Foreign Countries, Developing Nations, Career and Technical Education, Auto Mechanics
Lupo, Toni; Buscarino, Ester – Education Sciences, 2021
Nowadays, in the higher education sector, the quality measurement process of education-related services is assuming a crucial role to support focused and targeted improvement activities deeply centered on students' needs/necessities. These are considered crucial factors for dealing with the current academic competitive context. Therefore, the…
Descriptors: Foreign Countries, Questionnaires, Student Satisfaction, College Students
Robert R. Wright; Jordan Larson; Sarah Richards; Shaylee Larson; Christian Nienstedt – Journal of American College Health, 2024
Objective: To explore differences before and during the COVID-19 pandemic in electronic media use (i.e. TV watching, social media use, screen time), health (i.e. physical, behavioral, social, mental), and the relationship between them among college students. Participants: Nine hundred sixty-five United States college students with 367…
Descriptors: COVID-19, Pandemics, Social Media, Computer Use
Hidayat-ur-Rehman, Imdadullah; Akram, Muhammad Shakaib; Malik, Aneela; Mokhtar, Shamsul A.; Bhatti, Zeeshan Ahmed; Khan, Muhammad Asif – SAGE Open, 2020
The study investigates the underlying motives facilitating users' continuance intention for digital content in academic settings. Extending the expectation confirmation model of IS continuance (ECM-ISC), the study proposes a conceptual model by incorporating personal and technological antecedents of users' continuance intention for digital…
Descriptors: Adoption (Ideas), Intention, Models, Computer Uses in Education
Jazzmyn M. Ivery-Robinson – ProQuest LLC, 2024
This exploratory sequential mixed methods study explored how African American, Asian/Pacific Islander, Latino/Hispanic, and Native American (ALANA) students develop a sense of belonging within higher education at one private, Predominantly White Institution (PWIs) within the United States when co-curricular programs are offered within the…
Descriptors: Extracurricular Activities, African American Students, Asian American Students, Hispanic American Students
Chiang, Eric P.; Sumell, Albert J. – Journal of Economic Education, 2019
The concept of mindfulness has received significant attention in recent years as the effects of ubiquitous distractions become more apparent in the workplace and in education. This study examines the relationship between three measures of mindfulness and student performance among a sample of 922 students in introductory economics classes from two…
Descriptors: Metacognition, Economics Education, College Students, Personality Traits
Gondi, Vamsi; Hua, David; Bajracharya, Biju Raja – Information Systems Education Journal, 2021
In the age of COVID-19, traditional teaching techniques are under scrutiny. Most concepts and labs in the area of information technology are intended to be taught face-to-face in labs using clusters and networking infrastructure. Simulation software's such as uCertify, Pearson online, etc.., are good alternative, but are not always a viable…
Descriptors: Computer Science Education, Computer Software, Computer Simulation, Information Technology

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