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Simone Porcu; Alessandro Floris; Luigi Atzori – IEEE Transactions on Learning Technologies, 2025
In this article, we preliminarily discuss the limitations of current video conferencing platforms in online synchronous learning. Research has shown that while the involved technologies are appropriate for collaborative video calls, they often fail to replicate the rich nature of face-to-face interactions among students and between students and…
Descriptors: Computer Simulation, Electronic Learning, Synchronous Communication, Videoconferencing
Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Villalonga-Gomez, Cristina; Ortega-Fernandez, Eglee; Borau-Boira, Elena – IEEE Transactions on Learning Technologies, 2023
The application of the metaverse poses important challenges for the field of education. The aim of this article is to analyze the evolution of the development of the metaverse experiences in Higher Education and thus identify the key aspects of its application as a virtual environment for teaching and learning. To this end, a systematic literature…
Descriptors: Higher Education, Electronic Learning, Educational Environment, Second Language Instruction
Teemu H. Laine; Woohyun Lee – IEEE Transactions on Learning Technologies, 2024
The metaverse is a network of interoperable and persistent 3-D virtual worlds where users can coexist and interact through mechanisms, such as gamification, nonfungible tokens, and cryptocurrencies. Although the metaverse is a theoretical construct today, many collaborative virtual reality (CVR) applications have emerged as potential components of…
Descriptors: Computer Simulation, Simulated Environment, College Students, Student Attitudes
Xiao, Hui; Hu, Wenshan; Liu, Guo-Ping – IEEE Transactions on Learning Technologies, 2023
In conventional laboratories, engineering students must attend in person to conduct experiments with real equipment in a physical place, where their work is mainly assessed through self-reports and attendance records. By comparison, online labs can record and analyze students' activities and behaviors automatically. Thus, this article proposes a…
Descriptors: Electronic Learning, Science Laboratories, Engineering Education, Distance Education
Ntourmas, Anastasios; Dimitriadis, Yannis; Daskalaki, Sophia; Avouris, Nikolaos – IEEE Transactions on Learning Technologies, 2022
One of the main challenges of massive open online courses (MOOCs) is the effective facilitation of learners in the course forum. The more learners participating in the forum, the more difficult it is for instructors to provide timely support. The effective intervention of teaching assistants (TAs) can play a crucial role in mitigating this issue;…
Descriptors: Online Courses, Teaching Assistants, Large Group Instruction, Electronic Learning
Shadiev, Rustam; Liu, Jiawen; Cheng, Pei-Yu – IEEE Transactions on Learning Technologies, 2023
In traditional English as a foreign language (EFL) speaking classes, students have insufficient time and opportunities to practice (Zhan et al., 2015). In addition, they lack cultural and communicative contexts (Ko et al., 2021) to improve their speaking skills. Furthermore, a large number of students, especially in Asian countries, have low…
Descriptors: Electronic Learning, Handheld Devices, Second Language Learning, English (Second Language)
Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
Chen Li; Yue Jiang; Peter H. F. Ng; Yixin Dai; Francis Cheung; Henry C. B. Chan; Ping Li – IEEE Transactions on Learning Technologies, 2024
Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the…
Descriptors: Computer Simulation, Computer Assisted Instruction, Cooperative Learning, Technology Uses in Education
Analysis and Prediction of Students' Performance in a Computer-Based Course through Real-Time Events
Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
Furkan Yucel; Hasret Sultan Unal; Elif Surer; Nejan Huvaj – IEEE Transactions on Learning Technologies, 2024
Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, as has been during the COVID-19 pandemic, virtual laboratory courses can be considered as an alternative education medium. This…
Descriptors: Electronic Learning, Engineering Education, COVID-19, Pandemics
Giacomo Cassano; Nicoletta Di Blas – IEEE Transactions on Learning Technologies, 2024
In recent years, the world of education has become increasingly hybrid (online/on location) and flexible (synchronous/asynchronous), frequently referred to as HyFlex. One of the risks of these mixed environments is the distance between teacher and students that can make interaction, a crucial component of the teaching/learning process, more…
Descriptors: Electronic Learning, Asynchronous Communication, Teacher Student Relationship, Feedback (Response)
Lukac, Zeljko; Kastelan, Ivan; Vranjes, Mario; Todorovic, Branislav M. – IEEE Transactions on Learning Technologies, 2021
Education of electronics engineers is one of the most dynamic types of education due to the new technologies that are rapidly being introduced into the field. Therefore, it is necessary to use modern teaching and laboratory methods that accompany the development of new technologies. When it comes to the automotive industry, a modern vehicle must…
Descriptors: Engineering Education, Motor Vehicles, Masters Programs, Computer Software
Maiti, Ananda; Raza, Ali; Kang, Byeong Ho – IEEE Transactions on Learning Technologies, 2021
The Internet-of-Things (IoT) is a collection of technologies to bring the Internet to physically embedded devices and to embed them deeply into human activities to aid in a variety of activities. IoT gained traction with developers and consumers in recent years, driven by low-cost open-source hardware that enables easy prototyping and testing. IoT…
Descriptors: Internet, Active Learning, Student Projects, College Students