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Showing 1 to 15 of 25 results Save | Export
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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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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
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Nuno Verdelho Trindade; Lidia Custodio; Alfredo Ferreira; Joao Madeiras Pereira – IEEE Transactions on Learning Technologies, 2024
Ray tracing is a computer graphics technique used to produce realistic visuals by physically simulating the behavior of light. Although this technique can be described straightforwardly, fully comprehending it might be challenging. It is typically taught in the classroom using the 2-D formats, such as paper or a blackboard. We propose using…
Descriptors: Computer Simulation, Computer Graphics, Visualization, Computer Assisted Instruction
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Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
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Jijian Lu; Ruxin Zheng; Zikun Gong; Huifen Xu – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has emerged as a noteworthy milestone and a consequential advancement in the annals of major disciplines within the domains of human science and technology. This study aims to explore the effects of generative AI-assisted preservice teaching skills training on preservice teachers' self-efficacy and higher…
Descriptors: Professional Development, Artificial Intelligence, Thinking Skills, Self Efficacy
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Kappagantula, Sri Rama Kartheek; Adamo-Villani, Nicoletta; Wu, Meng-Lin; Popescu, Voicu – IEEE Transactions on Learning Technologies, 2020
We present a system that automatically generates deictic gestures for animated pedagogical agents (APAs). The system takes audio and text as input, which define what the APA has to say, and generates animated gestures based on a set of rules. The automatically generated gestures point to the exact locations of elements on a whiteboard nearby the…
Descriptors: Animation, Nonverbal Communication, Lecture Method, Video Technology
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Chin, Kai-Yi; Lee, Ko-Fong; Chen, Yen-Lin – IEEE Transactions on Learning Technologies, 2020
In most cultural heritage courses, students physically visit several renowned heritage sites for educational purposes. However, because of time and manpower limitations, many teachers use traditional outdoor instruction methods to transmit vital information regarding these sites and buildings. This approach could result in students merely…
Descriptors: Cultural Education, Historic Sites, Outdoor Education, Computer Simulation
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Ayedoun, Emmanuel; Hayashi, Yuki; Seta, Kazuhisa – IEEE Transactions on Learning Technologies, 2020
This article proposes a computer-based approach to effectively enhance second language learners' willingness to communicate in the target language. To do so, we implemented a conversational agent embedding a dialogue management model based on two conversational strategies (i.e., communication strategies and affective backchannels), serving as…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Second Language Learning, Second Language Instruction
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Yang, Yang; Leung, Howard; Shum, Hubert P. H.; Li, Jiao; Zeng, Lanling; Aslam, Nauman; Pan, Zhigeng – IEEE Transactions on Learning Technologies, 2018
In this paper, a Chinese character educational system based on Kinect is proposed for guiding beginners to learn the basics of Chinese characters in a more intuitive way. It extracts 19 common components, denoted as alphabets, from Chinese characters. Nineteen postures were designed according to the shapes of these alphabets. Instead of memorizing…
Descriptors: Chinese, Orthographic Symbols, Second Language Learning, Second Language Instruction
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Javaid, Maria; Ashrafi, Seema; Zefran, Mil; Steinberg, Arnold D. – IEEE Transactions on Learning Technologies, 2016
This paper describes the development and evaluation of an interactive educational program, "Tooth" "P"lacement and "I"dentification "C"oach ("ToothPIC"). The program uses a game-based learning paradigm and 3D visualization techniques to allow first year dentistry and hygiene students to get…
Descriptors: Anatomy, Dentistry, Educational Games, Graduate Students
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Papanikolaou, Kyparisia A. – IEEE Transactions on Learning Technologies, 2015
In this paper, we discuss how externalizing learners' interaction behavior may support learners' explorations in an adaptive educational hypermedia environment that provides activity-oriented content. In particular, we propose a model for producing interpretative views of learners' interaction behavior and we further apply this model to…
Descriptors: Student Behavior, Interaction, Hypermedia, Educational Technology
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Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D. – IEEE Transactions on Learning Technologies, 2014
In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…
Descriptors: Artificial Intelligence, Concept Mapping, Teaching Methods, Student Evaluation
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Arnau, David; Arevalillo-Herráez, Miguel; González-Calero, José Antonio – IEEE Transactions on Learning Technologies, 2014
This paper presents an intelligent tutoring system (ITS) for the learning of arithmetical problem solving. This is based on an analysis of (a) the cognitive processes that take place during problem solving; and (b) the usual tasks performed by a human when supervising a student in a one-to-one tutoring situation. The ITS is able to identify the…
Descriptors: Intelligent Tutoring Systems, Arithmetic, Problem Solving, Supervision
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Stanisavljevic, Zarko; Stanisavljevic, Jelena; Vuletic, Pavle; Jovanovic, Zoran – IEEE Transactions on Learning Technologies, 2014
Educational software systems have an increasingly significant presence in engineering sciences. They aim to improve students' attitudes and knowledge acquisition typically through visual representation and simulation of complex algorithms and mechanisms or hardware systems that are often not available to the educational institutions. This paper…
Descriptors: Technology, Mathematics, Visual Aids, Computer Software
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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