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Showing 1 to 15 of 21 results Save | Export
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Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables
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Wu, Po-Han; Hwang, Gwo-Jen; Milrad, Marcelo; Ke, Hui-Ru; Huang, Yueh-Min – British Journal of Educational Technology, 2012
Concept maps have been widely employed for helping students organise their knowledge as well as evaluating their knowledge structures in a wide range of subject matters. Although researchers have recognised concept maps as being an important educational tool, past experiences have also revealed the difficulty of evaluating the correctness of a…
Descriptors: Feedback (Response), Concept Mapping, Learning Strategies, Instructional Innovation
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Huang, Chang-Qin; Duan, Ru-Lin; Tang, Yong; Zhu, Zhi-Ting; Yan, Yong-Jian; Guo, Yu-Qing – International Journal of Distance Education Technologies, 2011
The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS)…
Descriptors: Foreign Countries, Search Engines, Educational Technology, Reaction Time
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Wang, Hao-Chuan; Rose, Carolyn P.; Chang, Chun-Yen – International Journal of Computer-Supported Collaborative Learning, 2011
This paper seeks to contribute new insight to the process of learning during idea generation (i.e., brainstorming) by proposing and evaluating two alternative operationalizations for learning, which we refer to as connection-based learning and multi-perspective learning, during a carefully designed idea-generation task in the earth-sciences…
Descriptors: Feedback (Response), Instructional Materials, Learning Processes, Brainstorming
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Sondag, Tyler; Pokorny, Kian L.; Rajan, Hridesh – ACM Transactions on Computing Education, 2012
Students in all areas of computing require knowledge of the computing device including software implementation at the machine level. Several courses in computer science curricula address these low-level details such as computer architecture and assembly languages. For such courses, there are advantages to studying real architectures instead of…
Descriptors: Programming Languages, Computer Simulation, Computer Graphics, Computer Interfaces
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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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Hainey, Thomas; Connolly, Thomas M.; Stansfield, Mark; Boyle, Elizabeth A. – Computers & Education, 2011
A highly important part of software engineering education is requirements collection and analysis which is one of the initial stages of the Database Application Lifecycle and arguably the most important stage of the Software Development Lifecycle. No other conceptual work is as difficult to rectify at a later stage or as damaging to the overall…
Descriptors: Experimental Groups, Control Groups, Computer Software, Engineering
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
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Lin, Yu-Tzu; Yen, Bai-Jang; Chang, Chia-Hu; Lee, Greg C.; Lin, Yu-Chih – Interactive Technology and Smart Education, 2010
Purpose: The purpose of this paper is to propose an indexing and teaching focus mining system for lecture videos recorded in an unconstrained environment. Design/methodology/approach: By applying the proposed algorithms in this paper, the slide structure can be reconstructed by extracting slide images from the video. Instead of applying…
Descriptors: Video Technology, Lecture Method, Indexing, Educational Experiments
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Pifarre, Manoli; Cobos, Ruth – Educational Technology Research and Development, 2009
The aim of this study was to examine the development of the metacognitive knowledge of a group of higher education students who participated actively in an experiment based on a Computer Supported Collaborative Learning environment called KnowCat. Eighteen university students participated in a 12-month learning project during which the KnowCat…
Descriptors: Metacognition, Educational Environment, College Students, Cooperative Learning
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Garcia Laborda, Jesus; Magal-Royo, Teresa; de Siqueira Rocha, Jose Macario; Alvarez, Miguel Fernandez – Computers & Education, 2010
Although much has been said about ergonomics in interface and in computer tools and interface design, very few articles in major journals have addressed this topic in relation to language testing. This article describes an experiment carried out at the Polytechnic University of Valencia, Spain, in which 27 Media and Communication students provided…
Descriptors: Educational Testing, Language Tests, Foreign Countries, Internet
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Isotani, Seiji; Mizoguchi, Riichiro; Inaba, Akiko; Ikeda, Mitsuru – Computers & Education, 2010
One of the most useful ways to enhance collaboration is to create scenarios where learners are able to interact more effectively. Nevertheless, the design of pedagogically sound and well-thought-out collaborative learning scenarios is a complex issue. This is due to the context of group learning where the synergy among learners' interactions…
Descriptors: Instructional Design, Artificial Intelligence, Instructional Effectiveness, Group Dynamics
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Psycharis, Giorgos; Latsi, Maria; Kynigos, Chronis – International Journal for Technology in Mathematics Education, 2009
This paper reports on a case-study design experiment in the domain of fraction as number-measure. We designed and implemented a set of exploratory tasks concerning comparison and ordering of fractions as well as operations with fractions. Two groups of 12-year-old students worked collaboratively using paper and pencil as well as a specially…
Descriptors: Elementary School Mathematics, Mathematics Instruction, Mathematical Concepts, Mathematics Activities
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Watson, Joseph A.; Pecchioni, Loretta L. – Educational Media International, 2011
The use of multimodal learning techniques is becoming more widespread, however, the pedagogical discourse surrounding its implementation into classroom and course design is complicated as these technologies are either demonized or viewed as the panacea for curriculum ills. Educators are faced with unique challenges when investigating how to…
Descriptors: Feedback (Response), Course Content, Documentaries, Media Literacy
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Loustau, Pierre; Nodenot, Thierry; Gaio, Mauro – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to present a computational approach and a toolset to infer spatial displacements as they occur in route narrative documents and report on first experiments done to produce computer-aided learning (CAL) applications and instructional design editors that exploit the inferred georeferenced itineraries.…
Descriptors: Instructional Design, Semantics, Language Universals, Internet
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