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Showing 1 to 15 of 177 results Save | Export
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Hao Lijie; Shahazwan Mat Yusoff; Anwar Farhan Mohamad Marzaini – Education and Information Technologies, 2025
This research examines the factors that affect critical thinking disposition (CTD) in Malaysian university students using AI-based educational technologies. It analyzes the impact of AI literacy (AIL), perceived ease of use (PEOU), perceived usefulness (PU), and motivation (MO) through the lens of the Technology Acceptance Model (TAM) and…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Technology Uses in Education
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Disa Cornish; Zak Larter – Journal of Educational Technology Systems, 2024
ChatGPT and AI programs are creating a stir on college campuses nationwide. Concerns about cheating are strong and many instructors are adopting new teaching strategies to dissuade students from using the technology in assignments. In the present study, undergraduate students in an introductory epidemiology course were assigned to use ChatGPT to…
Descriptors: Artificial Intelligence, Student Attitudes, Synchronous Communication, Computer Software
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Reham Adel Ali; Mohamed Soliman; Muhammad Roflee Weahama; Muhammadafeefee Assalihee; Imran Mahmud – Smart Learning Environments, 2025
The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives of the metaverse as a learning platform. Even though this technology was just recently introduced to the higher education sector, very few attempts have been made to evaluate its impact.…
Descriptors: Technology Uses in Education, College Students, Student Attitudes, Private Colleges
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Jinhee Kim – TechTrends: Linking Research and Practice to Improve Learning, 2025
While there has been ample discussion regarding Artificial Intelligence (AI)'s contributions and challenges on the development agenda at the policy level, little is known about how students translate the potential and barriers of AI in achieving Sustainable Development Goals (SDGs). Drawing upon various qualitative data, including class…
Descriptors: Artificial Intelligence, Sustainable Development, Undergraduate Students, Student Attitudes
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Marta Modrego-Alarcón; Héctor Morillo; Daniel Campos; María Teresa Navarro-Gil; Jesús Montero-Marín; Alicia Monreal-Bartolomé; Javier García-Campayo; Yolanda López-Del-Hoyo – Journal of Computing in Higher Education, 2025
Mindfulness practices have proven to be effective for improving the mental health of many populations, including university students. However, these practices can be challenging for naive meditators. Virtual reality (VR) can create virtual scenarios that facilitate the practice of mindfulness. This study presents secondary data from a randomized…
Descriptors: Computer Simulation, Metacognition, Technology Uses in Education, Universities
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Azmi Fitriati; Subuh Anggoro; Corrienna Abdul Talib; Tin Lam Toh – Turkish Online Journal of Distance Education, 2025
The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM…
Descriptors: Foreign Countries, College Students, Young Adults, Self Efficacy
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Oguzhan Nacaroglu; Oktay Kizkapan; Hüseyin Demir – Psychology in the Schools, 2025
Science learning motivation refers to the drive and enthusiasm that students exhibit towards learning science. Science learning competencies, on the other hand, are the skills and knowledge enabling students to understand and apply scientific concepts effectively. Digital literacy, defined as the ability to effectively use digital tools and…
Descriptors: Middle School Students, Student Motivation, Science Education, Digital Literacy
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Gifty Edna Anani; Ernest Nyamekye; Daniel Bafour-Koduah – Discover Education, 2025
This research explores postgraduate students' attitudes and use of Artificial Intelligence (AI) tools in academic writing, using the Theory of Planned Behavior (TPB). Guided by the mixed method approach, quantitative and qualitative measures like questionnaires and interviews were adopted to gather data from postgraduate students. Descriptive…
Descriptors: Artificial Intelligence, Student Attitudes, Academic Language, Universities
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Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
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Hui Yang – International Review of Research in Open and Distributed Learning, 2025
This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. The study used the methods of a survey and online discussions. Participants verified that the present advancement…
Descriptors: Foreign Countries, Young Adults, Music Education, Music
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Taha Oruç; Özgen Korkmaz; Murat Kurt – International Journal of Technology in Education and Science, 2024
The aim of this study is to examine primary school students' views on artificial intelligence. Phenomenology design, one of the qualitative research methods, was used in the study. The study was conducted with 25 fourth grade students. The participants of the study were determined using the criterion sampling method, one of the purposeful sampling…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Student Attitudes
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Ce Song – European Journal of Education, 2025
This study examines the role of AI-powered learning tools in influencing cognitive load, well-being and academic success among music education students, with a focus on technology acceptance as a key factor. Data were collected through a random sampling of 454 Chinese music students (192 males, 262 females) aged 18-24, with varying levels of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Music Education
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Almudena Cotán; Rafael Carballo; Yolanda Spinola-Elias – International Journal of Inclusive Education, 2024
This article presents the testimonies of 24 faculty members of Arts and Humanities from five Spanish universities on the use of digital technology resources and their benefits for learning and educational inclusion of students with disabilities. They were selected by their own students with disabilities for their inclusive practices. Using a…
Descriptors: Foreign Countries, College Faculty, Humanities Instruction, Inclusion
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Adcharawan Buripakdi; Le Truong An – LEARN Journal: Language Education and Acquisition Research Network, 2024
Amidst the integration of AI tools in education, ChatGPT is considered prevalent for its potential capacities. Although research into this phenomenon has been conducted by worldwide scholars, little has been known about the perceptions of Ph.D. students of non-English speaking countries. Hence, this qualitative study shifted the focus to this…
Descriptors: Doctoral Students, Foreign Countries, Student Attitudes, Artificial Intelligence
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Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
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