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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
Özgen Korkmaz; Hacer Çolak Kiliç – International Journal of Technology in Education, 2024
The aim of this study is to determine the digital literacy skills of secondary school students and their social media addictions and attitudes towards social media use. Descriptive survey model was used in the study. Convenient sampling method was used to determine the study group. The research was conducted on 327 volunteer middle school students…
Descriptors: Foreign Countries, Middle School Students, Digital Literacy, Social Media
Mohammed Fadel Arandas; Ali Salman; Syed Arabi Idid; Yoke Ling Loh; Syaira Nazir; Yuek Li Ker – Journal of Media Literacy Education, 2024
Online distance learning policies were formulated and implemented among some Malaysian universities long ago, but their value emerged since COVID-19. Emanating from the diffusion of innovation theory, this study examined the perception of higher education students on the influence and relationship between six independent variables (compatibility,…
Descriptors: Foreign Countries, Distance Education, Digital Literacy, Undergraduate Students
Lorna Smith – English in Education, 2025
This paper reflects on two research projects undertaken a decade apart. The first, "Celebrating creativity collaboratively (CCC)," undertaken in 2009-10 (see Fitzgerald and Smith 2012), explored how a collaborative approach could inspire student teachers of English to become competent, confident teachers of creative writing. The second,…
Descriptors: Creativity, Cooperative Learning, Preservice Teachers, Student Attitudes
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
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
Satoshi Sugahara; Keita Kano; Sumitaka Ushio – Accounting Education, 2024
This study explores the role of the perceived image of accounting in determining key variables that influence high school accounting students' acceptance of using cloud accounting as a new technology. We adopted the technology acceptance model (TAM) as its theoretical framework. High school accounting students enrolled in the 'Kyoto Subaru High…
Descriptors: Foreign Countries, High School Students, Accounting, Student Attitudes
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
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
Ana Isabel Cea; Inmaculada Sánchez-Macías – Journal of Technology and Science Education, 2024
Fake news and artificial intelligence are phenomena addressed in academia and research within the fields of communication and audiovisual education. As a medium and language, cinema has mirrored these challenges, exemplified by the short film "Deep Soria." The primary objective proposed in this study is to ascertain whether this short…
Descriptors: Foreign Countries, Undergraduate Students, Journalism Education, Elementary Education
Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
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
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
Irwanto Irwanto; Ucu Cahyana; Ni Putu Sri Ayuni – Journal of Education and e-Learning Research, 2024
The COVID-19 epidemic has impacted higher education institutions across the country by switching traditional teaching practices to online learning. The attitudes of students towards elearning are essential to research in order to determine the extent to which successful implementation of online learning. Thus, this research aims to evaluate the…
Descriptors: Electronic Learning, Student Attitudes, COVID-19, Pandemics
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