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Horota, Rafael Kenji; Rossa, Pedro; Marques, Ademir; Gonzaga, Luiz; Senger, Kim; Cazarin, Caroline Lessio; Spigolon, Andre; Veronez, Mauricio Roberto – IEEE Transactions on Learning Technologies, 2023
Digital outcrop models (DOMs) have facilitated quantitative and qualitative studies in digital and virtual environments of source and reservoir rock analogs important to the oil industry. The use of immersive virtual reality (iVR) to extend field experiences has motivated several research groups to develop software integrating iVR techniques with…
Descriptors: Earth Science, Science Instruction, Immersion Programs, Virtual Classrooms
Bohné, Thomas; Heine, Ina; Gürerk, Özgür; Rieger, Christoph; Kemmer, Lukas; Cao, Lydia Y. – IEEE Transactions on Learning Technologies, 2021
Virtual reality (VR) technology provides new possibilities for educators to design and optimize learning experiences. However, it remains largely unclear how virtual learning environments can be engineered to achieve measurable improvements in the learners' performance. To advance the development and application of VR learning technologies, we…
Descriptors: Computer Simulation, Virtual Classrooms, Educational Principles, Evidence Based Practice
Thomas Sergent; Morgane Daniel; François Bouchet; Thibault Carron – IEEE Transactions on Learning Technologies, 2024
Self-regulated learning (SRL) skills are critical for students of all ages to maximize their learning. Two key processes of SRL are being aware of one's performance (self-evaluation) and believing in one's capabilities to produce given attainments (self-efficacy). To assess and improve these capabilities in young children (5-8), we use a literacy…
Descriptors: Self Evaluation (Individuals), Self Efficacy, Self Management, Children
Perera, Indika; Miller, Alan; Allison, Colin – IEEE Transactions on Learning Technologies, 2017
Immersive 3D Multi User Learning Environments (MULE) have shown sufficient success to warrant their consideration as a mainstream educational paradigm. These are based on 3D Multi User Virtual Environment platforms (MUVE), and although they have been used for various innovative educational projects their complex permission systems and large…
Descriptors: Case Studies, Computer Simulation, Virtual Classrooms, Technical Support
Cen, Ling; Ruta, Dymitr; Al Qassem, Lamees Mahmoud Mohd Said; Ng, Jason – IEEE Transactions on Learning Technologies, 2020
Technology-enhanced learning has attracted increasing attention of educational community focused on improvement of traditional classroom learning. Augmented immersive reality (AIR) technologies enhance users' perception of reality by augmenting it with computer-generated components such as audio, video, 2/3-D graphics, GPS data, etc. The AIR…
Descriptors: Educational Technology, Multimedia Materials, Virtual Classrooms, Simulated Environment
Munoz-Cristobal, Juan A.; Asensio-Perez, Juan I.; Martinez-Mones, Alejandra; Prieto, Luis P.; Jorrin-Abellan, Ivan M.; Dimitriadis, Yannis – IEEE Transactions on Learning Technologies, 2018
Technology offers rich opportunities for learning across different physical and virtual spaces. However, most of current across-spaces proposals are either highly teacher-centered, inflexible in the students' self-management of learning artifacts during the enactment, or allow the teacher little/no control of such students' management of…
Descriptors: Computer Uses in Education, Technology Integration, Pilot Projects, Electronic Learning
Hung, Jui-Long; Shelton, Brett E.; Yang, Juan; Du, Xu – IEEE Transactions on Learning Technologies, 2019
Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…
Descriptors: Prediction, Models, At Risk Students, Identification
Chao, Han-Chieh; Lai, Chin-Feng; Chen, Shih-Yeh; Huang, Yueh-Min – IEEE Transactions on Learning Technologies, 2014
With the rapid development of the Internet and the popularization of mobile devices, participating in a mobile community becomes a part of daily life. This study aims the influence impact of social interactions on mobile learning communities. With m-learning content recommendation services developed from mobile devices and mobile network…
Descriptors: Electronic Learning, Interpersonal Relationship, Social Networks, Elementary School Students