Frame based Intelligent Tutoring System with weighted attributes and adaptive hypermedia
22 Sep 2010-International Journal of Electronic Business (Inderscience Publishers)-Vol. 8, pp 342-359
TL;DR: An adaptive tutoring system for students of multiple domains with a web-based interface for flexibility and a weighted approach to evaluate the student's capability, and frames are generated based on a beta distribution.
Abstract: In this paper, we present an adaptive tutoring system for students of multiple domains with a web-based interface for flexibility. The displayed media is adapted according to the student's capability and aptitude by evaluating the student according to historical data and quizzes. The media is divided into dynamic frames and the content of each frame is displayed adaptively. A weighted approach is used to evaluate the student's capability, and frames are generated based on a beta distribution. The initial evaluation of the system based on a paper simulation showed encouraging results.
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TL;DR: According to results, the systems were designed for a wide range of fields such as Information Technologies, Mathematics, Science, Medicine, and Foreign Language Education and content adaptation was generally used in these systems.
Abstract: The aim of this study is to examine adaptation elements and Intelligent Tutoring System (ITS) elements used in Adaptive Intelligent Tutoring Systems (AITSs), using meta-synthesis methods to analyze the results of previous research. Toward this end, articles appearing in the Web of Science, Google Scholar, Eric and Science Direct databases in 2000 and later were identified with the keyphrase “adaptive intelligent tutoring system.” Application of exclusion and inclusion procedures to the articles accessed in the search resulted in the selection of 32 articles, which were analyzed using meta-synthesis methods and then evaluated in the light of prespecified themes and elements used in AITSs were determined. According to results, the systems were designed for a wide range of fields such as Information Technologies, Mathematics, Science, Medicine, and Foreign Language Education. In these systems, content adaptation was generally used, based mostly on such criteria as feedback, student level, student learning and cognitive styles, and student performance. And besides 4 basic ITS modules (knowledge, student, teaching and user interface), some different modules such as guide module, strategy module, personal learning module, knowledge base module, communication module, system administrator module and messaging module were used. Finally, some suggestions were given for such studies in the future.
34 citations
Journal Article•
TL;DR: This paper will show how to produce a guide model parameterized by the learning domain, based on item response theory and metrics, adapted for letting the learners work in several disciplinary fields in the University of Annaba.
Abstract: To design an adaptive intelligent tutoring system which can manage both different disciplinary domains and a guide for the learner is difficult. The specialization of the analysis treatments is responsible for the loss of reusability in other disciplinary domains. The analysis is didactic and thus strongly connected to the domain concerned. It results that an intelligent tutoring system is consequently, specialized in a type of taught knowledge and not easily transposable to other domains. To propose a model transposable to different domains of learning, the former has to take into account this diversity and to situate the learning activity. In this paper, we will show how to produce a guide model parameterized by the learning domain. Our objective was to develop an adaptive intelligent tutoring system based on item response theory and metrics, adapted for letting the learners work in several disciplinary fields in the University of Annaba. In this context, our constraint is threefold: to represent knowledge relative to several disciplinary domains, to propose interactive activities to the learners and finally, to be able to support student guidance in her/his course by proposing her/him relevant support activities when he meets difficulties.
16 citations
Additional excerpts
...Keywords: Hypermedia, Learner model, Strategy guide, Trace, Intelligent tutoring system, Item Response Theory...
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01 Jan 2011
TL;DR: The design approaches for the definition of the AM in AEHS are reviewed and a set of performance evaluation metrics proposed by the literature for validating the use of decision-based approaches are discussed.
Abstract: Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design in Adaptive Educational Hypermedia Systems (AEHS) with either guidance for the direct definition of adaptation rules, or semi-automated mechanisms which generate the AM via the implicit definition of such rules The main drawback of the direct definition of adaptation rules is that there can be cases during the run-time execution of AEHS where no adaptation decision can be made, due to insufficiency and/or inconsistency of the defined adaptation rule sets The goal of the semi-automated, decision-based approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the above mentioned problem However, such approaches still miss a commonly accepted framework for evaluating their performance In this chapter, we review the design approaches for the definition of the AM in AEHS and discuss a set of performance evaluation metrics proposed by the literature for validating the use of decision-based approaches
11 citations
01 Jan 2009
TL;DR: This project aims to construct a set of e-Learning web services, which include assessment, course management, grading and reporting services that eliminate many interoperability issues between components written and running on different hardware and software platforms.
Abstract: Nowadays, Network and multimedia are the trend of the development of the e-Learning technology. With the rapid development of the network technique and the prevalence of the Internet, e-Learning has become the major trend of the development of international education. With the fast development of Internet, people prefer e-Learning to traditional learning in classroom. It promotes e-Learning consequently. Instead of building an e-Learning system from scratch, it can be assembled by choosing the required functionalities from a set of web services related to eLearning. Web services eliminate many interoperability issues between components written and running on different hardware and software platforms. This project aims to construct a set of e-Learning web services. With these web services, new e-Learning system(s) can be constructed by choosing the services which are required. The developed web services include assessment, course management, grading and reporting services.
3 citations
Cites background from "Frame based Intelligent Tutoring Sy..."
... Acting upon the available knowledge on its users and the subject matter at hand, to dynamically facilitate the learning process [2]....
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26 Aug 2015
TL;DR: In this work, the relevance of the guide will be on the learner’s prior knowledge and purpose of apprenticeship referred, and the approach relies on the domain model, pedagogical activities as well as the traces and inference on them.
Abstract: Learners often find themselves in situations where they want to achieve a goal but do not have the sufficient knowledge to enable them to achieve it spontaneously. These situations are referred to problems. Indeed, guiding a learner in a learning activity is a complex task with no guarantee of success. If the learner is not guided in performing the task, the learning objective is often not achieved, and the learning does not occur. In our work, the relevance of the guide will be on the learner’s prior knowledge and purpose of apprenticeship referred. Our approach relies on the domain model, pedagogical activities as well as the traces and inference on them. Their use allows the learner modeling and its management by the system.
2 citations
Cites background from "Frame based Intelligent Tutoring Sy..."
...A general instruction system requires both of these instruction methods to provide a full learning system [23, 15, 8, 18]....
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TL;DR: Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic that can be found either as stand-alone control elements or as int ...
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