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Houssam El Aouifi; Mohamed El Hajji; Youssef Es-Saady; Hassan Douzi – IEEE Transactions on Learning Technologies, 2024
Recently, using videos as a learning resource has received a lot of attention and turned widely exploited as an effective learning tool. With the rapid spread of instructional videos, the number of these tools in all disciplines is becoming very high. It is fractious for learners to find video courses adapted to their needs. Recommender system is…
Descriptors: Video Technology, Teaching Methods, Instructional Effectiveness, Cognitive Style
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
Mangaroska, Katerina; Vesin, Boban; Kostakos, Vassilis; Brusilovsky, Peter; Giannakos, Michail N. – IEEE Transactions on Learning Technologies, 2021
With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different…
Descriptors: Learning Analytics, Electronic Learning, Educational Technology, Instructional Design
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
Tracy Bobko; Mikiko Corsette; Minjuan Wang; Erin Springer – IEEE Transactions on Learning Technologies, 2024
This article discusses the transformative impact of technology on knowledge acquisition and sharing, focusing on the emergence of the metaverse as a virtual community with vast potential for virtual learning. Learning in the metaverse is found to enhance engagement, motivation, and retention, while fostering 21st-century skills. It also offers…
Descriptors: Educational Innovation, Computer Simulation, Technology Uses in Education, Models
Nikola M. Luburic; Luka Z. Doric; Jelena J. Slivka; Dragan Lj. Vidakovic; Katarina-Glorija G. Grujic; Aleksandar D. Kovacevic; Simona B. Prokic – IEEE Transactions on Learning Technologies, 2025
Software engineers are tasked with writing functionally correct code of high quality. Maintainability is a crucial code quality attribute that determines the ease of analyzing, modifying, reusing, and testing a software component. This quality attribute significantly affects the software's lifetime cost, contributing to developer productivity and…
Descriptors: Intelligent Tutoring Systems, Coding, Computer Software, Technical Occupations
Kim, Jihyung; Kim, Kyeongsun; Kim, Wooksung – IEEE Transactions on Learning Technologies, 2022
This article investigated the impact of immersive virtual reality (VR) content, using 360-degree videos, in undergraduate education. To improve the delivery and reality of 360-degree VR content, we filmed the video in the third person so that the viewers could feel like they were in the environment where the lecture was conducted. To verify the…
Descriptors: Computer Simulation, Video Technology, Undergraduate Study, College Students
Hershcovits, Haviv; Vilenchik, Dan; Gal, Kobi – IEEE Transactions on Learning Technologies, 2020
This paper studies students engagement in e-learning environments in which students work independently and solve problems without external supervision. We propose a new method to infer engagement patterns of users in such self-directed environments. We view engagement as a continuous process in time, measured along chosen axes that are derived…
Descriptors: Electronic Learning, Problem Solving, Independent Study, Factor Analysis
Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
Wen, Yun – IEEE Transactions on Learning Technologies, 2020
This paper presents an augmented reality-based Chinese character composition game (ARC) that employs augmented papers to engage lower primary school students in collaborative Chinese character learning. A design research approach was used to gain a holistic view of designing, enacting, and evaluating the ARC. The participants included four…
Descriptors: Computer Simulation, Chinese, Ideography, Elementary School Students
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
García-González, Herminio; Gayo, José Emilio Labra; del Puerto Paule-Ruiz, María – IEEE Transactions on Learning Technologies, 2017
We describe a new educational tool that relies on Semantic Web technologies to enhance lessons content. We conducted an experiment with 32 students whose results demonstrate better performance when exposed to our tool in comparison with a plain native tool. Consequently, this prototype opens new possibilities in lessons content enhancement.
Descriptors: Semantics, Teaching Methods, Electronic Learning, Course Content
Martinez-Garcia, A.; Morris, S.; Tscholl, M.; Tracy, F.; Carmichael, P. – IEEE Transactions on Learning Technologies, 2012
This paper explores the potential of Semantic Web technologies to support teaching and learning in a variety of higher education settings in which some form of case-based learning is the pedagogy of choice. It draws on the empirical work of a major three year research and development project in the United Kingdom: "Ensemble: Semantic…
Descriptors: Foreign Countries, Program Descriptions, Teaching Methods, Instructional Innovation