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Showing 1 to 15 of 49 results Save | Export
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Mitrovic, Antonija; Ohlsson, Stellan; Barrow, Devon K. – Computers & Education, 2013
Tutoring technologies for supporting learning from errors via negative feedback are highly developed and have proven their worth in empirical evaluations. However, observations of empirical tutoring dialogs highlight the importance of positive feedback in the practice of expert tutoring. We hypothesize that positive feedback works by reducing…
Descriptors: Tutoring, Feedback (Response), Tutors, Intelligent Tutoring Systems
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Arnau, David; Arevalillo-Herraez, Miguel; Puig, Luis; Gonzalez-Calero, Jose Antonio – Computers & Education, 2013
Designers of interactive learning environments with a focus on word problem solving usually have to compromise between the amount of resolution paths that a user is allowed to follow and the quality of the feedback provided. We have built an intelligent tutoring system (ITS) that is able to both track the user's actions and provide adequate…
Descriptors: Intelligent Tutoring Systems, Computer System Design, Word Problems (Mathematics), Problem Solving
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Yang, Yang; Leung, Howard; Yue, Lihua; Deng, Liqun – Computers & Education, 2013
In this paper, an automated lesson generation system for guiding beginners to learn basic dance movements is proposed. It analyzes the dance to generate a two-phase lesson which can provide a suitable cognitive load thus offering an efficient learning experience. In the first phase, the dance is divided into small pieces which are patterns, and…
Descriptors: Courseware, Use Studies, Instructional Design, Automation
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Lorenzo, Gonzalo; Pomares, Jorge; Lledo, Asuncion – Computers & Education, 2013
This paper presents the use of immersive virtual reality systems in the educational intervention with Asperger students. The starting points of this study are features of these students' cognitive style that requires an explicit teaching style supported by visual aids and highly structured environments. The proposed immersive virtual reality…
Descriptors: Intervention, Learning Strategies, Cognitive Style, Asperger Syndrome
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Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
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Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels – Computers & Education, 2013
Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem. But does greater freedom mean that students…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Algebra, Mathematics Instruction
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Bouyias, Yannis; Demetriadis, Stavros – Computers & Education, 2012
Research on computer-supported collaborative learning (CSCL) has strongly emphasized the value of providing student support with micro-scripts, which should withdraw (fade-out) allowing students to practice the acquired skills. However, research on fading shows conflicting results and some researchers suggest that the impact of fading is enhanced…
Descriptors: Control Groups, Persuasive Discourse, Cooperative Learning, Learning Strategies
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Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
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McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E. – Computers & Education, 2011
Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…
Descriptors: Feedback (Response), Test Items, Intervention, Intelligent Tutoring Systems
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Klasnja-Milicevic, Aleksandra; Vesin, Boban; Ivanovic, Mirjana; Budimac, Zoran – Computers & Education, 2011
Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In this paper, we describe a recommendation module of a…
Descriptors: Electronic Learning, Experimental Groups, Control Groups, Cognitive Style
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Wang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan – Computers & Education, 2011
Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…
Descriptors: Foreign Countries, Feedback (Response), Program Effectiveness, Learning Experience
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van Seters, J. R.; Ossevoort, M. A.; Tramper, J.; Goedhart, M. J. – Computers & Education, 2012
Adaptive e-learning materials can help teachers to educate heterogeneous student groups. This study provides empirical data about the way academic students differ in their learning when using adaptive e-learning materials. Ninety-four students participated in the study. We determined characteristics in a heterogeneous student group by collecting…
Descriptors: Foreign Countries, Electronic Learning, Learning Strategies, Computer Assisted Instruction
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Mavrikis, Manolis; Gutierrez-Santos, Sergio – Computers & Education, 2010
This paper presents a methodology for the design of intelligent learning environments. We recognise that in the educational technology field, theory development and system-design should be integrated and rely on an iterative process that addresses: (a) the difficulty to elicit precise, concise, and operationalized knowledge from "experts" and (b)…
Descriptors: Educational Technology, Methods, Expertise, Case Studies
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de-la-Fuente-Valentin, Luis; Pardo, Abelardo; Kloos, Carlos Delgado – Computers & Education, 2011
IMS Learning Design is a specification to capture the orchestration taking place in a learning scenario. This paper presents an extension called Generic Service Integration. This paradigm allows a bidirectional communication between the course engine in charge of the orchestration and conventional Web 2.0 tools. This communication allows the…
Descriptors: Electronic Publishing, Web Sites, Learning Activities, Educational Technology
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Mich, Ornella; Pianta, Emanuele; Mana, Nadia – Computers & Education, 2013
Deaf children have significant difficulties in comprehending written text. This is mainly due to the hearing loss that prevents them from being exposed to oral language when they were an infant. However, it is also due to the type of educational intervention they are faced with, which accustoms them to decoding single words and isolated sentences,…
Descriptors: Reading Comprehension, Usability, Deafness, Story Telling
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