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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
Danial Hooshyar – Education and Information Technologies, 2024
Neural and symbolic architectures are key techniques in AI for learner modelling, enhancing adaptive educational services. Symbolic models offer explanation and reasoning for decisions but require significant human effort. On the other hand, neural architectures demand less human input and yield better predictions, yet lack interpretability. Given…
Descriptors: Artificial Intelligence, Modeling (Psychology), Learner Engagement, Achievement
Jack Reed – Journal of Experiential Education, 2024
Background: The use or non-use of mobile technologies and social media in residential outdoor adventurous education (OAE) remains contested and generates an often-cited for-and-against argument in both theory and practice. Purpose: This qualitative study explored instructor perceptions of mobile technologies and social media in their practice as…
Descriptors: Foreign Countries, Teacher Attitudes, Handheld Devices, Computer Oriented Programs
Lockias Chitanana – Education and Information Technologies, 2024
This study investigated how lecturers and university students used WhatsApp as an academic tool. The study employed an ANT methodological and analytical framework to investigate WhatsApp as an academic tool in a university set-up in post COVID-19 era. Participants were selected from one state university. The snowball purposive sampling approach…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, College Faculty
Lu Yin; Ruosi Guo – European Journal of Education, 2025
This quasi-experimental study aims to investigate the effectiveness of artificial intelligence (AIVA app) within an interactive music-learning environment. The ANCOVA was used to compare the performance of students using Artificial Intelligence Virtual Artist (AIVA) and those studying with traditional lecture-based instructions. Students in the…
Descriptors: Artificial Intelligence, Music Education, Foreign Countries, Cultural Capital
Amy Brown – Journal of General Music Education, 2024
Pre-pandemic, technology integration into music lessons was helpful but not a necessity for effectively teaching elementary music. Those who believed technology integration was important for student engagement, as well as those comfortable with their technological skills, were experimenting with tools on an interactive board or through a website…
Descriptors: Music Education, Technology Integration, Technology Uses in Education, Learner Engagement
Odd Rune Stalheim; Hege Merete Somby – Smart Learning Environments, 2024
There has long been an increased focus on and investment in digital technology in schools to improve the quality of education. While digital tools have gained access to pedagogical spheres, physical activity has been overlooked, as pupils often engage in activities that require minimal bodily movement. In this article, we discuss pupils'…
Descriptors: Simulated Environment, Physical Environment, Educational Games, Human Body
Xue Yang – Education and Information Technologies, 2024
Mobile devices have increased exponentially in the past decades and the rapid development of digital technology has provided rich soil for the growth of mobile learning (m-learning), which is a more convenient means of learning because of no limitations of space and time. Applying the stimulus-organism-response (S-O-R) framework, this study…
Descriptors: Electronic Learning, Learning Processes, Stimuli, Attention Span
Victor K. Y. Chan – International Association for Development of the Information Society, 2024
This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Usability
Adam Carreon; Caitlin Criss; Maggie Mosher – Journal of Special Education Technology, 2024
Virtual reality (VR) is an innovative technology that is rapidly gaining popularity in and out of the classroom. With improvements in hardware and software technology and the push for one-to-one computing, teachers have access to innovative VR supports and resources. These innovative technologies have the potential to improve instruction for…
Descriptors: Computer Simulation, Students with Disabilities, Technology Uses in Education, Student Motivation
Cheng Wei Lim; Kong Yen Liew; Sie Hui Lim; Manraj Singh Cheema; Puteri Suhaiza Sulaiman; Hanis Hazeera Harith; Hasni Idayu Saidi; Chau Ling Tham – International Journal of Educational Technology in Higher Education, 2024
The high cost of establishing a cell and tissue culture facility has denied students an opportunity to practice proper aseptic techniques during their studies. An in-house application named AsepticTech Virtual Reality (VR) was developed to simulate a cell and tissue culture facility for students to train their aseptic techniques virtually.…
Descriptors: Student Attitudes, Science Instruction, Teaching Methods, Cytology
Aliabd Kadhum – Journal on English Language Teaching, 2024
This study explores the impact of mobile learning applications on the vocabulary acquisition, motivation, and engagement of Iraqi ESP medical students. This study was conducted with 60 students from Meisan University, who were randomly divided into an experimental group using the Quizlet mobile application and a control group following traditional…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Computer Oriented Programs
Shatha Mohammed Almalki – International Journal of Mobile and Blended Learning, 2024
This critical participatory action research explored undergraduate female Saudi students' perspectives on the implications of a self-organised learning environment (SOLE) via their mobile devices. Data was gathered from interviews and focus groups using a convenience sample of 27 undergraduate students and the researcher's reflective journals. The…
Descriptors: Student Attitudes, Individualized Instruction, Educational Environment, Handheld Devices
Zhiqun Ouyang; Yujun Jiang; Huying Liu – International Review of Research in Open and Distributed Learning, 2024
This study, which is quasi-experimental in nature, looks into how language learners' willingness to communicate and engagement in English as a foreign language (EFL) classrooms are affected by Duolingo. The control and experimental groups comprised two complete classes with forty EFL students. To compare learner engagement and communication…
Descriptors: Artificial Intelligence, Information Technology, English (Second Language), Communication Strategies
Lane Maxcy; Denise A. Soares; Judith Harrison – Contemporary Educational Technology, 2025
The current study evaluated the effect of technology-based self-management on disruptive behavior and academic engagement (AE) with a student with an emotional and behavioral disorder. A multiple baseline design across three general education settings was used to assess the effectiveness of the intervention, self-management using the…
Descriptors: Technology Uses in Education, Self Management, Emotional Disturbances, Behavior Disorders
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