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Showing 1 to 15 of 31 results Save | Export
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Magnisalis, I.; Demetriadis, S.; Karakostas, A. – IEEE Transactions on Learning Technologies, 2011
This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…
Descriptors: Evidence, Instructional Design, Bibliographic Databases, Classification
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Lavoue, Elise; George, Sebastien; Prevot, Patrick – Behaviour & Information Technology, 2012
In this article, we present a co-adaptive design approach named TE-Cap (Tutoring Experience Capitalisation) that we applied for the development of an assistance environment for tutors. Since tasks assigned to tutors in educational contexts are not well defined, we are developing an environment which responds to needs which are not precisely…
Descriptors: Foreign Countries, Tutors, Tutoring, College Faculty
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Robbins, Russell W.; Butler, Brian S. – Journal of Information Systems Education, 2009
Like any infrastructure technology, Virtual World (VW) platforms provide affordances that facilitate some activities and hinder others. Although it is theoretically possible for a VW platform to support all types of activities, designers make choices that lead technologies to be more or less suited for different learning objectives. Virtual World…
Descriptors: Computer Assisted Instruction, Barriers, Educational Objectives, Teaching Methods
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Padiotis, Ioannis; Mikropoulos, Tassos A. – Educational Technology & Society, 2010
The present research investigates the contribution of an interactive educational virtual environment on milk pasteurization to the learning outcomes of 40 students in a technical secondary school using SOLO taxonomy. After the interaction with the virtual environment the majority of the students moved to higher hierarchical levels of understanding…
Descriptors: Foreign Countries, Science Instruction, Technology Education, Misconceptions
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Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Brudermann, Cedric – ReCALL, 2010
This paper deals with the implementation of an "online pedagogical assistant" in a blended learning device for English for Special Purposes (ESP) students in a French university (UPMC, Paris VI). As it is now, it comprises a customized website designed to serve as a guide through the development of the students' work. The architecture of…
Descriptors: Action Research, Classification, Blended Learning, English for Special Purposes
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Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
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Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
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Laakso, Mikko-Jussi; Myller, Niko; Korhonen, Ari – Educational Technology & Society, 2009
In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the…
Descriptors: Visualization, Teaching Methods, Classification, Comparative Analysis
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Ang, Chee Siang; Avni, Einav; Zaphiris, Panayiotis – International Journal on E-Learning, 2008
This article reviews a range of literature of computer games and learning theories and attempts to establish a link between them by proposing a typology of games which we use as a new usability measure for the development of guidelines for game-based learning. First, we examine game literature in order to understand the key elements that…
Descriptors: Constructivism (Learning), Classification, Guidelines, Educational Technology
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Rosell-Aguilar, Fernando – Computer Assisted Language Learning, 2007
The popularization of portable media players such as the "iPod," and the delivery of audio and video content through content management software such as "iTunes" mean that there is a wealth of language learning resources freely available to users who may download them and use them anywhere at any time. These resources vary greatly in quality and…
Descriptors: Educational Quality, Computer Assisted Instruction, Computer Software, Second Language Learning
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Peled, Zimra; And Others – Journal of Educational Computing Research, 1992
Proposes a taxonomy to aid decision makers in selecting computer software consistent with their educational values regarding the nature of instruction and the use of information technology, based on beliefs about human development and learning. Characteristics of instruction, properties of software, and the congruence between them are discussed.…
Descriptors: Algorithms, Classification, Computer Assisted Instruction, Computer Software
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Specht, Marcus; Burgos, Daniel – Journal of Interactive Media in Education, 2007
The paper describes a classification system for adaptive methods developed in the area of adaptive educational hypermedia based on four dimensions: What components of the educational system are adapted? To what features of the user and the current context does the system adapt? Why does the system adapt? How does the system get the necessary…
Descriptors: Hypermedia, Educational Methods, Classification, Models
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McLellan, Hilary – Journal of Educational Multimedia and Hypermedia, 1993
Discusses the use of story models for hypertext design. Relevant research is reviewed; interactive fiction is examined; advantages of the story format in instructional design are described; and a taxonomy of five types of story structures for hypertext design is presented. (Contains 56 references.) (LRW)
Descriptors: Classification, Cognitive Processes, Computer Software Development, Hypermedia
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