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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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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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Elmoazen, Ramy; Saqr, Mohammed; Khalil, Mohammad; Wasson, Barbara – Smart Learning Environments, 2023
Remote learning has advanced from the theoretical to the practical sciences with the advent of virtual labs. Although virtual labs allow students to conduct their experiments remotely, it is a challenge to evaluate student progress and collaboration using learning analytics. So far, a study that systematically synthesizes the status of research on…
Descriptors: Learning Analytics, Higher Education, Medical Education, Student Behavior
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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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Agbo, Friday Joseph; Olaleye, Sunday Adewale; Bower, Matt; Oyelere, Solomon Sunday – Smart Learning Environments, 2023
Researchers are increasingly exploring educational games in immersive virtual reality (IVR) environments to facilitate students' learning experiences. Mainly, the effect of IVR on learning outcomes has been the focus. However, far too little attention has been paid to the influence of game elements and IVR features on learners' perceived…
Descriptors: Student Attitudes, Technology Uses in Education, Cognitive Processes, Teaching Methods
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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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Luo, Yan; Du, Huan – Smart Learning Environments, 2022
With advantages such as ease of use and low cost, desktop virtual reality (VR) technologies are increasingly being used in practical learning. This study aims to clarify the relationship among students' self-efficacy, goal orientation, technology acceptance [e.g., perceived usefulness (PU) and perceived ease of use (PEOU)] and learning behavior,…
Descriptors: Electronic Learning, Computer Simulation, Self Efficacy, Goal Orientation
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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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Kaplan-Rakowski, Regina; Johnson, Karen R.; Wojdynski, Tomasz – Smart Learning Environments, 2021
Advocates of meditation claim that it can improve various aspects of life, including health, attention, thinking, and learning. The purpose of this empirical, quantitative, between-subject study was twofold. First, it compared the effectiveness of meditation delivered through virtual reality versus video, as measured by students' test scores.…
Descriptors: College Students, Computer Simulation, Relaxation Training, Metacognition
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Tuli, Neha; Singh, Gurjinder; Mantri, Archana; Sharma, Shivam – Smart Learning Environments, 2022
In an era where technology is being used more and more in daily life, the potential and effective use of technology is becoming increasingly vital in education. Engineering education necessitates the use of technology to assist students in understanding abstract concepts and principles. Augmented reality (AR) is a technology that can be used to…
Descriptors: Computer Simulation, Engineering Education, Technology Uses in Education, Teaching Methods
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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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Windsor, Ryan John – Smart Learning Environments, 2021
This paper outlines and describes the effectiveness of a virtual learning environment (VLE) as a grammar learning resource for first year students at a university in southern China over two academic years. The resource, named the Independent Grammar Study Scheme (IGSS), offered short grammar exercises that were completed over a 14-week period by…
Descriptors: Computer Simulation, Second Language Learning, Second Language Instruction, English (Second Language)
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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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Brown, Wayne J.; Reid, Cindy – Smart Learning Environments, 2022
There are many examples of hybrid simulation models in healthcare education which are designed to simulate specific scenarios. However, there appears to be a need for a cost effective and configurable hybrid simulation platform which can be used by educators of various healthcare disciplines to simulate different scenarios. The purpose of this…
Descriptors: Program Implementation, Cost Effectiveness, Computer Simulation, Models
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