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Showing 1 to 15 of 17 results Save | Export
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Py, Dominique; Després, Christophe; Jacoboni, Pierre – Technology, Instruction, Cognition and Learning, 2015
Although providing open learner models to teachers and learners has proven effective, building accurate learner models remains a very complex task, partly due to the large amount of data that must be analyzed. We propose a method for specifying an open learner model at the conceptual level. This model re-uses constraints or indicators already…
Descriptors: Open Education, Models, Design, Programming Languages
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Edwards, Richard; Carmichael, Patrick – Discourse: Studies in the Cultural Politics of Education, 2012
There is a long tradition in education of examination of the hidden curriculum, those elements which are implicit or tacit to the formal goals of education. This article draws upon that tradition to open up for investigation the hidden curriculum and assumptions about students and knowledge that are embedded in the coding undertaken to facilitate…
Descriptors: Information Technology, Semantics, Case Method (Teaching Technique), Hidden Curriculum
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Graci, Craig – Journal of Educational Technology Systems, 2010
The goal of this article is to contribute fragments of concrete understanding to the on-going search for meaning in ideas associated with the learning sciences (Sawyer, 2006b) by adding to the repertoire of domain specific studies pertaining to this relatively new field. The learning sciences are first characterized as a system of learning…
Descriptors: Higher Education, Music, Cognitive Science, Psychology
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Trumpower, David L.; Sharara, Harold; Goldsmith, Timothy E. – Journal of Technology, Learning, and Assessment, 2010
This study examines the specificity of information provided by structural assessment of knowledge (SAK). SAK is a technique which uses the Pathfinder scaling algorithm to transform ratings of concept relatedness into network representations (PFnets) of individuals' knowledge. Inferences about individuals' overall domain knowledge based on the…
Descriptors: Programming Languages, Problem Solving, Computers, Programming
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Perales, Jose C.; Shanks, David R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
It has been proposed that causal power (defined as the probability with which a candidate cause would produce an effect in the absence of any other background causes) can be intuitively computed from cause-effect covariation information. Estimation of power is assumed to require a special type of counterfactual probe question, worded to remove…
Descriptors: Figurative Language, Probability, Cognitive Mapping, Knowledge Representation
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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
Kirschenbaum, Matthew – Chronicle of Higher Education, 2009
The author advocates that humanities scholars should seek and study programming languages. He believes that, increasingly, an appreciation of how complex ideas can be imagined and expressed as a set of formal procedures--rules, models, algorithms--in the virtual space of a computer will be an essential element of a humanities education. Students…
Descriptors: Programming Languages, Student Motivation, Artificial Intelligence, Computer Mediated Communication
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Najjar, Mehdi – International Journal of Distance Education Technologies, 2008
Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…
Descriptors: Scaffolding (Teaching Technique), Virtual Classrooms, Prompting, Teaching Methods
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Harvey, Leon; Anderson, John – Human-Computer Interaction, 1996
Two experiments tested the hypothesis that subjects introduced to a first programming language develop a representation of basic programming concepts that help them integrate new declarative knowledge from a second programming language. The effect on reading was greater for pages that were conceptually close across texts and for subjects who had…
Descriptors: Information Processing, Knowledge Level, Knowledge Representation, Programmers
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Paquette, Gilbert; Leonard, Michel; Lundgren-Cayrol, Karin; Mihaila, Stefan; Gareau, Denis – Educational Technology & Society, 2006
This chapter states and explains that a Learning Design is the result of a knowledge engineering process where knowledge and competencies, learning design and delivery models are constructed in an integrated framework. We present a general graphical language and a knowledge editor that has been adapted to support the construction of learning…
Descriptors: Learning Strategies, Computer Software, Programming, Instructional Design
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Amorim, Ricardo R.; Lama, Manuel; Sanchez, Eduardo; Riera, Adolfo; Vila, Xose A. – Educational Technology & Society, 2006
In this paper, we present an ontology to represent the semantics of the IMS Learning Design (IMS LD) specification, a meta-language used to describe the main elements of the learning design process. The motivation of this work relies on the expressiveness limitations found on the current XML-Schema implementation of the IMS LD conceptual model. To…
Descriptors: Computer Software, Programming, Instructional Design, Programming Languages
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Poulter, Alan; And Others – Annual Review of Information Science and Technology (ARIST), 1994
Considers the role of library and information science professionals as knowledge engineers. Highlights include knowledge acquisition, including personal experience, interviews, protocol analysis, observation, multidimensional sorting, printed sources, and machine learning; knowledge representation, including production rules and semantic nets;…
Descriptors: Computer Assisted Instruction, Evaluation Methods, Expert Systems, Information Scientists
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Knight, Colin, Gasevic, Dragan; Richards, Griff – Educational Technology & Society, 2006
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly…
Descriptors: Case Studies, Learning Strategies, Computer Software, Programming
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Pitti, Daniel V. – Journal of Archival Organization, 2005
The emergence of computer and network technologies has presented the archival profession with daunting challenges as well as inspiring opportunities. Archivists have been actively imagining and realizing the application of advanced technologies to their professional functions and activities. Using advanced technologies, archivists have been…
Descriptors: Archives, Documentation, Influence of Technology, Technological Advancement
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Holmboe, Christian – Computer Science Education, 2005
Constructing a data model for a problem area requires identifying and formulating some symbolic representation of the concepts involved, their characteristics, and the relationships between them. Taking a socio-cultural perspective on learning, analysis of classroom dialog is used to identify cognitive challenges met by novice students of data…
Descriptors: Concept Formation, Concept Teaching, Psycholinguistics, Metalinguistics
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