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Atina Putri; Fahma Waluya Rosmansyah; Chessa Nur Triejunita; Yuda Sukmana; Nyilo Purnami; Sakina Sakina; Yuni Sari Amalia; Yusep Rosmansyah – Smart Learning Environments, 2025
The increasing popularity of mobile devices as alternative tools for learning has led to the adoption of virtual laboratory simulation (VLab) to enhance practical learning experiences. This paper introduces an interactive mobile learning application designed to facilitate medical students in learning ear anatomy using a three-dimensional model.…
Descriptors: Science Laboratories, Anatomy, Science Education, Computer Simulation
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Brian Shambare; Thuthukile Jita – Smart Learning Environments, 2025
Teaching in rural schools is frequently marked by challenges ranging from restricted technological infrastructure and geographical remoteness to sparse professional development. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT), this paper reports findings from a sequential explanatory mixed-methods study that investigated…
Descriptors: Influences, Computer Simulation, Technology Uses in Education, Technology Integration
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Yiannis Koumpouros – Smart Learning Environments, 2024
Augmented Reality (AR) technology is one of the latest developments and is receiving ever-increasing attention. Many researches are conducted on an international scale in order to study the effectiveness of its use in education. The purpose of this work was to record the characteristics of AR applications, in order to determine the extent to which…
Descriptors: Computer Simulation, Educational Technology, College Students, Computer Oriented Programs
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Ernesto Armando Pacheco-Velázquez; Virginia Rodés-Paragarino; Sergio Augusto Ramírez-Echeverri – Smart Learning Environments, 2025
The article discusses the efficacy of game-based learning (GBL) in logistics education, specifically through an empirical evaluation of the "Logistics Simulator LOST." Recognizing the complexities of evaluating serious games--interactive serious games platforms designed for educational, purpose--the article emphasizes the need for games…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Game Based Learning
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Amy Meenaghan; Iris van Sintemaartensdijk – Smart Learning Environments, 2024
XR technology (an umbrella term that incorporates virtual reality (VR), augmented reality (AR), mixed reality (MR), and in some opinions, 360 immersive video) offers considerable potential for supporting learning in the criminal justice sector. The use of XR can allow students and trainees to experience hard-to-reach, risky and dangerous…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
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Fatma Outay; Nafaa Jabeur; Fahmi Bellalouna; Tasnim Al Hamzi – Smart Learning Environments, 2024
To measure the effectiveness of learning activities, intensive research works have focused on the process of competency building through the identification of learning stages as well as the setup of related key performance indictors to measure the attainment of specific learning objectives. To organize the learning activities as per the background…
Descriptors: Competence, Learning Activities, Individual Characteristics, Computer Simulation
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Ajay Shankar Tiwari; Kaushal Kumar Bhagat; Georgios Lampropoulos – Smart Learning Environments, 2024
Currently, augmented reality (AR) is one of the emerging technologies which is being widely used in the education sector. In engineering drawing, AR has been implemented to enhance learners' spatial ability but not their conceptual knowledge yet. Therefore, this study aims to evaluate the effect of AR on engineering drawing students' learning…
Descriptors: College Freshmen, Engineering Education, Physical Environment, Simulated Environment
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Gurjinder Singh; Faizan Ahmad – Smart Learning Environments, 2024
Augmented reality (AR) stands as a widely embraced technology that significantly enhances learning experiences for students. AR offers an instructional approach supported by technological design, thereby fostering enriched learning interactions. This research proposes an interactive AR framework, intended to create an augmented reality learning…
Descriptors: Electronics, Engineering Education, College Students, Computer Simulation
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Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness
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Federico De Lorenzis; Alessandro Visconti; Simone Restivo; Francesca Mazzini; Serena Esposito; Silvia Fraterrigo Garofalo; Luca Marmo; Debora Fino; Fabrizio Lamberti – Smart Learning Environments, 2024
The use of Virtual Reality (VR) in education is getting more and more common, especially when hands-on learning experiences have to be delivered. With VR it becomes possible, e.g., to simulate dangerous or costly procedures that could hardly be implemented in real settings. However, engaging large classes in immersive laboratory activities may be…
Descriptors: Computer Simulation, Cooperative Learning, Chemistry, Science Education
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Maria Efstratopoulou; Maxwell Peprah Opoku; Aizhan Shomotova; Christina Davison; Abdulrafi Jaffarul; Aalya Mesmar – Smart Learning Environments, 2024
A smart learning environment (SLE) encompasses the use of advanced technology and smart pedagogical teaching skills tailored to suit students with diverse learning needs. In recent years, some countries, such as the United Arab Emirates (UAE), have formulated policies to implement SLE in their education systems. Since students are the intended…
Descriptors: Foreign Countries, Secondary School Students, Grade 7, Grade 12
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Álvaro Antón-Sancho; Diego Vergara; Pablo Fernández-Arias – Smart Learning Environments, 2024
Virtual Reality (VR) is a computer-generated environment with noteworthy didactic applications in different educational levels and areas of knowledge. The study of the perceptions of the agents involved about the use of VR in lectures is a fruitful line of research because it has implications in terms of the measures to be taken to improve the…
Descriptors: Computer Simulation, College Faculty, Social Sciences, Engineering
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Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
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Xiaowei Huang; Chung Kwan Lo; Jiaju He; Simin Xu; Kinshuk – Smart Learning Environments, 2024
In the post-pandemic world, open educational resources (OER) have the potential to ensure educational equity by providing all students with access to learning materials and by supporting teachers' instructional practices through readily available, adaptable resources. However, the quality of OER continues to be a concern. Therefore, this study…
Descriptors: Open Educational Resources, Secondary School Mathematics, Mathematics Teachers, Secondary School Teachers