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Isabel Pedersen – OTESSA Journal, 2024
The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Change
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Lucía Márquez; Valeria Henríquez; Henrique Chevreux; Eliana Scheihing; Julio Guerra – British Journal of Educational Technology, 2024
Learning analytics (LA) is an emerging area that has had extensive development in higher education in recent years, focused both on the learning process of students within subjects and on monitoring their trajectories in training programmes. However, most of the developments remain in the pilot phase without reaching institutional adoption. This…
Descriptors: Higher Education, Learning Analytics, Ethics, Leadership
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Ran Jiang – Action, Criticism, and Theory for Music Education, 2025
Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…
Descriptors: Educational Philosophy, Music Education, Artificial Intelligence, Computer Software
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Anthemis Raptopoulou – European Journal of Education, 2025
Recent advancements in Artificial Intelligence (AI), particularly AI chatbots like ChatGPT, have sparked significant discussions in higher education regarding their impact on teaching and academic integrity. This study examines the integration of ChatGPT into a philosophy of education course for first-year Education students at a Swedish…
Descriptors: Artificial Intelligence, Computer Software, Undergraduate Students, Literacy Education
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Siran Li; Jiangyue Liu; Qianyan Dong – Australasian Journal of Educational Technology, 2025
Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Programming
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Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
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Samar Shailendra; Rajan Kadel; Aakanksha Sharma – IEEE Transactions on Education, 2024
Contributions: An adoption framework to include generative artificial intelligence (GenAI) in the university curriculum. It identifies and highlights the role of different stakeholders (university management, students, staff, etc.) during the adoption process. It also proposes an objective approach based upon an evaluation matrix to assess the…
Descriptors: Guidelines, Artificial Intelligence, Computer Software, Technology Uses in Education
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Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
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Elizabeth Landa – Journal of Educational Technology Systems, 2025
This study shed light on the obstacles to the effective integration of technologies for teaching and learning (TTL) from the opinions of 192 respondents who are in Tanzanian universities. Descriptive statistics, ANOVA, and Linear regression analysis were performed to reveal out the relationship between technological-pedagogical challenges and use…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Faculty Development, Higher Education
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Hassan Hessari; Ankit Agarwalla; Mohammad Bai; Morteza Vahedian; Ali Bai – International Journal on E-Learning, 2025
This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Learning Processes
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Janne Olavi Väätäjä – European Journal of Teacher Education, 2025
This case study aims to identify which characteristics that define the concept of Community of Practice (CoP) can be recognised at the primary school teacher education practicum and how stakeholders perceive digital pedagogy in the context of practices for co-development. The case study took place in a primary school teacher education practicum at…
Descriptors: Mentors, Communities of Practice, Elementary School Teachers, Teaching Methods
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Shahper Richter; Marilyn Giroux; Inna Piven; Herbert Sima; Patrick Dodd – Journal of Marketing Education, 2025
AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…
Descriptors: Constructivism (Learning), Artificial Intelligence, Computer Software, Technology Integration
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Peter E. Doolittle; Krista P. Wojdak; C. Edward Watson; Dawn N. Adams; Gina Mariano – Journal of the Scholarship of Teaching and Learning, 2024
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were…
Descriptors: Undergraduate Students, Task Analysis, Critical Incidents Method, Self Efficacy
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Sashi Ranjan; V. P. Joshith; K. Kavitha; Shana Chittakath – Knowledge Management & E-Learning, 2024
Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Knowledge Management, Sustainability
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Xiting Yang – Interactive Learning Environments, 2024
Nowadays, modern technologies provide a variety of opportunities in many fields, including education. In this context, it is crucial to comprehend the possibility of developing new ways of teaching electroacoustic music using such technology tools. For this purpose, the researchers of the present study elaborated and implemented a study program…
Descriptors: Music Education, Higher Education, Teaching Methods, Electronic Learning
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