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Thi Thuy An Ngo; Thanh Tu Tran; Gia Khuong An; Phuong Thy Nguyen – IEEE Transactions on Learning Technologies, 2024
The growing prevalence of advanced generative artificial intelligence chatbots, such as ChatGPT, in the educational sector has raised considerable interest in understanding their impact on student knowledge and exploring effective and sustainable implementation strategies. This research investigates the influence of knowledge management factors on…
Descriptors: Artificial Intelligence, Educational Environment, Knowledge Management, Student Satisfaction
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Pellas, Nikolaos; Dengel, Andreas; Christopoulos, Athanasios – IEEE Transactions on Learning Technologies, 2020
Although virtual reality (VR) simulation training has gained prominence, review studies to inform instructors and educators on the use of this technology in science, technology, engineering, and mathematics (STEM) are still scarce. This article presents various VR-supported instructional design practices in K-12 (primary and secondary) and higher…
Descriptors: STEM Education, Computer Simulation, Computer Uses in Education, Elementary Secondary Education
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Martina Angela Rau; Will Keesler; Ying Zhang; Sally Wu – IEEE Transactions on Learning Technologies, 2020
Instruction in most STEM domains uses visuals to illustrate complex problems. During problem solving, students often manipulate and construct visuals. Traditionally, students draw visuals on paper and receive delayed feedback from an instructor. Educational technologies have the advantage that they can provide immediate feedback on students'…
Descriptors: Visualization, Educational Technology, Chemistry, STEM Education
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Munoz-Merino, Pedro J.; Alario-Hoyos, Carlos; Munoz-Organero, Mario; Kloos, Carlos Delgado; Molina, Manuel Fernandez – IEEE Transactions on Learning Technologies, 2018
Educational computer-based competition environments need to be designed with a set of features that enhance the learning process. Although recently some frameworks for the design of educational computer-based systems (e.g., educational games) have been proposed, they do not focus on the details of the competition. Therefore, the design of…
Descriptors: Educational Environment, Computer Uses in Education, Competition, Computer Simulation
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Kostopoulos, Georgios; Karlos, Stamatis; Kotsiantis, Sotiris – IEEE Transactions on Learning Technologies, 2019
Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…
Descriptors: Academic Achievement, Case Studies, Usability, Data Analysis
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Yao, Ching-Bang – IEEE Transactions on Learning Technologies, 2017
Although m-learning applications have been widely researched, few studies have investigated applying adaptive learning content to various learning environments and efficient input interfaces. This study combined a context-aware mechanism, which can be used to provide suitable learning information anytime and anyplace by using GPS technology, with…
Descriptors: Electronic Learning, Educational Technology, Usability, Individualized Instruction
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Hatala, M.; Gasevic, D.; Siadaty, M.; Jovanovic, J.; Torniai, C. – IEEE Transactions on Learning Technologies, 2012
Recent research in Technology-Enhanced Learning (TEL) demonstrated several important benefits that semantic technologies can bring to the TEL domain. An underlying assumption for most of these research efforts is the existence of a domain ontology. The second unspoken assumption follows that educators will build domain ontologies for their…
Descriptors: Taxonomy, Semantics, Educational Technology, Technology Uses in Education
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Grunewald, Franka; Meinel, Christoph – IEEE Transactions on Learning Technologies, 2015
The use of video lectures in distance learning involves the two major problems of searchability and active user participation. In this paper, we promote the implementation and usage of a collaborative educational video annotation functionality to overcome these two challenges. Different use cases and requirements, as well as details of the…
Descriptors: Web Based Instruction, Lecture Method, Video Technology, Notetaking
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Velazquez-Iturbide, J. A.; Debdi, O.; Esteban-Sanchez, N.; Pizarro, C. – IEEE Transactions on Learning Technologies, 2013
Several years ago we presented an experimental, discovery-learning approach to the active learning of greedy algorithms. This paper presents GreedEx, a visualization tool developed to support this didactic method. The paper states the design goals of GreedEx, makes explicit the major design decisions adopted, and describes its main characteristics…
Descriptors: Computer Science Education, Visual Aids, Mathematics, Experiments
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Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun – IEEE Transactions on Learning Technologies, 2012
In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…
Descriptors: Foreign Countries, Dance Education, Lesson Plans, Pattern Recognition
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Lan, Chung Hsien; Graf, S.; Lai, K. R.; Kinshuk – IEEE Transactions on Learning Technologies, 2011
This study presents a conceptual framework for providing intelligent supports through agent negotiation and fuzzy constraints to enhance the effectiveness of peer assessment. By using fuzzy constraints, it not only provides a flexible marking scheme to deal with the imprecision and uncertainty for the representation of assessment but also provides…
Descriptors: Computer Uses in Education, Educational Technology, Peer Evaluation, Models
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Gasevic, D.; Zouaq, Amal; Torniai, Carlo; Jovanovic, J.; Hatala, Marek – IEEE Transactions on Learning Technologies, 2011
Recent research in learning technologies has demonstrated many promising contributions from the use of ontologies and semantic web technologies for the development of advanced learning environments. In spite of those benefits, ontology development and maintenance remain the key research challenges to be solved before ontology-enhanced learning…
Descriptors: Foreign Countries, Natural Language Processing, Computer Interfaces, Web 2.0 Technologies