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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
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
Joie N. Marhefka; Shirley Campbell; Amy Kuntz; Laura E. Cruz – Biomedical Engineering Education, 2024
In an effort to better engage biomedical engineering technology (BMET) students with material covered in lectures and to connect them with their future careers, we created interactive 360° videos in typical BMET workplaces. Students watched the videos using virtual reality (VR) headsets and reflected on the experience. Students commented that the…
Descriptors: Biomedicine, Engineering Education, Technology, College Students
Krittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
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
Ricardo-Adán Salas-Rueda; Ricardo Castañeda-Martínez; Jesús Ramírez-Ortega; Selene-Marisol Martínez-Ramírez – Digital Education Review, 2025
The aim of this mixed research is to analyze the perception of the students about the use of Zoom and the Learning Management Systems such as Moodle and Google Classroom in the educational field during the COVID-19 pandemic considered data science. In particular, Zoom facilitates the communication, presentation of contents and resolution of…
Descriptors: Foreign Countries, Student Attitudes, Technology Integration, Educational Technology
Lindsey S. Ward – ProQuest LLC, 2023
Educational institutions increasingly rely on educational technology to deliver academic experiences, particularly since the COVID-19 pandemic. This study focused on graduate students' attitudes about online privacy specific to use of technology for educational purposes. Students who participated were all current students at a university in the…
Descriptors: Graduate Students, Student Attitudes, Privacy, Technology
HuiTing Ren – Education and Information Technologies, 2025
The article described the study of possibilities and prospects of teaching dance choreographic skills in a virtual educational environment. The researchers compared the educational achievements in the control and experimental groups and determined the influence of additional educational practices in the virtual interactive dance online studio…
Descriptors: Dance Education, Educational Technology, Technology Uses in Education, Distance Education
Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Boo Young Lim; Vickie E. Lake; Amber H. Beisly; Rae K. Ross-Lightfoot – Early Education and Development, 2024
Research Findings: This mixed-methods study utilized the Technological Pedagogical Content Knowledge (TPACK) framework to examine surveys, reflections, focus groups, and lesson plans from 22 pre-service teachers (PSTs) participating in two technology-rich courses. Following the completion of these courses, the results indicated a notable…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers, Student Attitudes
Emily Carol King – ProQuest LLC, 2024
This dissertation comprises work developing and leveraging technology as a means to aid student learning as well as to provide access to course-specific information. As technology continues to advance, tools are being developed and adopted by instructors to help fill gaps in previous systems and further extend their usefulness in the classroom.…
Descriptors: Science Education, Chemistry, Artificial Intelligence, Intelligent Tutoring Systems
Hakan Güldal; Emrah Oguzhan Dinçer – Education and Information Technologies, 2025
The purpose of this study was to investigate student perceptions and acceptance of a rule-based educational chatbot in higher education, employing the TAM (Technology Acceptance Model) framework. The researchers developed a rule-based chatbot for this purpose and examined the students' technology acceptance using qualitative research methods.…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Simulation
Yunus Dogan; Coskun Akça – Journal of Learning for Development, 2025
There is strong evidence in the relevant literature that the use of technology in higher education positively affects academic achievement and motivation. However, while there are some international studies on the effect of technology acceptance on college student commitment, it is understood that there has not been enough research in the national…
Descriptors: Higher Education, College Students, Technology Uses in Education, Student Attitudes
Jacob Pleasants; Jeffrey Radloff; Amy Mueller – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
While educational technologies are often considered a panacea for improving K-12 teaching and learning, they frequently produce unintended or problematic effects. Consequently, preservice teachers (PSTs) must be prepared to think critically, or "technoskeptically," when making decisions about the technologies they use in their future…
Descriptors: Educational Technology, Preservice Teachers, Student Attitudes, Critical Thinking
Dwayne Wood; Scott H. Moss – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The purpose of the study was to evaluate the impact of generative artificial intelligence (GenAI) on students' learning experiences and perceptions through a master's-level course. The study specifically focused on student engagement, comfort with GenAI and ethical considerations. Design/methodology/approach: The study used an action…
Descriptors: Artificial Intelligence, Learning Experience, Influence of Technology, Evaluation