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Showing 1 to 15 of 36 results Save | Export
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Huang, Tao; Hu, Shengze; Yang, Huali; Geng, Jing; Liu, Sannyuya; Zhang, Hao; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…
Descriptors: Educational Technology, Prediction, Electronic Learning, Intelligent Tutoring Systems
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Yao, Shu-Nung; Liang, Chaoyun – IEEE Transactions on Learning Technologies, 2023
Image processing-based augmented reality (AR) is widely used in several fields. However, audio content is also crucial in certain cases, for example, focusing on appreciating artwork in a museum, rather than a virtually synthesized image. In this study, an attempt was made to provide ubiquitous learning (u-learning) services by using audio AR for…
Descriptors: Computer Simulation, Electronic Learning, Audio Equipment, Educational Technology
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Chen, Xu; Zhong, Zheng; Wu, Di – IEEE Transactions on Learning Technologies, 2023
As a third-generation Internet form, the Metaverse has received widespread attention for its spatio-temporal expansion, high immersion, sensory extension, and human--computer integration. Considering the prospect of application in the field of education, a series of studies on the design of Education Metaverse frameworks and applications have…
Descriptors: Computer Simulation, Simulated Environment, Design, Technology Uses in Education
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Qiusha Min; Zhongwei Zhou; Ziyi Li; Mei Wu – IEEE Transactions on Learning Technologies, 2024
Instructional videos are often a key component of online learning, and their quality significantly influences online learning outcomes and student satisfaction. However, instructional video evaluation is time-consuming. To solve this problem, this study developed an automatic evaluation method for instructional videos. This method first…
Descriptors: Electronic Learning, Outcomes of Education, Program Evaluation, Student Evaluation
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Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
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Campos, Francisco M. – IEEE Transactions on Learning Technologies, 2023
Circuit simulation, together with practical sessions, is considered a fundamental tool to assist in the teaching of electronics. Robotics offers rich real-world applications that foster student interest in developing engineering projects. Despite the potential benefits of uniting these two realities, software tools that combine circuits and…
Descriptors: Electronic Equipment, Computer Simulation, Computer Software, Robotics
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Fabio Buttussi; Luca Chittaro – IEEE Transactions on Learning Technologies, 2024
Educational virtual environments (EVEs) can enable effective learning experiences on various devices, including smartphones, using nonimmersive virtual reality (VR). To this purpose, researchers and educators should identify the most appropriate pedagogical techniques, not restarting from scratch but exploring which traditional e-learning and VR…
Descriptors: Test Items, Educational Technology, Computer Simulation, Telecommunications
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Hernandez-Cuevas, Bryan Y.; Crawford, Chris S. – IEEE Transactions on Learning Technologies, 2021
This literature review explores prior research involving physiological-based mobile educational systems. Mobile computing is advancing, and implementations of ubiquitous systems for educational purposes are increasing. Another growing field is physiological computing, where the user's states are retrieved and applied as control inputs in…
Descriptors: Physiology, Handheld Devices, Telecommunications, Medicine
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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
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Tabuenca, Bernardo; Serrano-Iglesias, Sergio; Martin, Adrian Carruana; Villa-Torrano, Cristina; Dimitriadis, Yannis; Asensio-Perez, Juan I.; Alario-Hoyos, Carlos; Gomez-Sanchez, Eduardo; L. Bote-Lorenzo, Miguel; Martinez-Mones, Alejandra; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2021
Smart learning environments (SLEs) have gained considerable momentum in the last 20 years. The term SLE has emerged to encompass a set of recent trends in the field of educational technology, heavily influenced by the growing impact of technologies, such as cloud services, mobile devices, and interconnected objects. However, the term SLE has been…
Descriptors: Affordances, Electronic Learning, Educational Technology, Educational Trends
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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
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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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Shapsough, Salsabeel Y.; Zualkernan, Imran A. – IEEE Transactions on Learning Technologies, 2020
Ubiquitous learning environments move learners out of a classroom and into the real world where learners engage in experiential and tangible learning involving instrumented physical things. Learners use peer-to-peer networks connecting learners, teachers, and a host of learning "things," such as instrumented pieces of art, flower pots,…
Descriptors: Electronic Learning, Educational Technology, Internet, Experiential Learning
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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
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Tenorio, Thyago; Isotani, Seiji; Bittencourt, Ig Ibert; Lu, Yu – IEEE Transactions on Learning Technologies, 2021
The application of the collective intelligence (CI) concept has yielded significant results in many knowledge areas and it has substantial potential to yield results in the educational context. In view of distance education and online educational technologies, the use of CI has enormous potential to improve collaboration, social learning, and…
Descriptors: Intelligence, Educational Technology, Electronic Learning, Distance Education
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