Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives

Mizoguchi, Riichiro; Bourdeau, Jacqueline

doi:10.1007/s40593-015-0077-5

Cited by 58 publications

(70 citation statements)

References 15 publications

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“…Ontology is considered to be a highly suitable means of supporting educational-technology systems [11]- [13]. The increasing importance of the Semantic Web, which is based on ontology, is strengthening this argument [14].…”

Section: B Applications Of Ontology In the Educational Domainmentioning

confidence: 99%

Collection of Web Multimedia Teaching Resources Using Ontology

Alhawiti¹,

Abdelhamid²

2016

IJIET

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Abstract-The World Wide Web has a huge amount of e-learning resources in the various branches of science, and it is available in the form of textbooks, presentations, video tutorials, pictures and audio lectures. No doubt that these resources would help students understand academic courses easily, especially those courses that need training and practical activities, like the computer science courses. It also helps the instructor to clarify his ideas in an interesting and innovative way.Searching for the available and suitable resources in the World Wide Web is perhaps one of the most difficult and time consuming tasks, as it requires the exact specification of keywords that characterize each topic in the course syllabus. Collecting such material manually from scratch for each course in a specific domain of knowledge is considered expensive and time consuming effort.Ontology is the explicit formal specifications of the terms and relations among them in a specific domain. It defines a common vocabulary for researchers who need to share information in a specific domain. It is perhaps the key solution to the problems related to the knowledge sharing and reuse, as it includes machine-interpretable definitions of basic concepts in that domain and relations among them.In this paper, a system is proposed to enable instructors to collect e-learning multimedia resources from the World Wide Web and link them automatically to the topics listed in the syllabus of the intended course using the Ontology of the domain of knowledge related to the that course. Index Terms-Automatic retrieval of educational multimedia resources, information retrieval, knowledge sharing and reuse, ontology-based annotation.

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Section: B Applications Of Ontology In the Educational Domainmentioning

confidence: 99%

Collection of Web Multimedia Teaching Resources Using Ontology

Alhawiti¹,

Abdelhamid²

2016

IJIET

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“…We have made a study on an ontology for educational theories and a theory-aware and standard-compliant authoring system based on it [19,20]. Issues addressed in this study are 1) to make computers understand and utilize a variety of educational theories and 2) to keep sharability of designed scenarios with theoretical justification.…”

Section: Introductionmentioning

confidence: 99%

Structurization of Learning/Instructional Design Knowledge for Theory-Aware Authoring Systems

Hayashi

Bourdeau

Mizoguchi

2008

Intelligent Tutoring Systems

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Abstract. Currently, there are little guidelines on building quality standardcompliant learning courses. Although educational theories can be guidelines, there are difficulties in the practical use. An approach to the problem is to build a theory-aware and standard-compliant authoring system based on an ontology that establishes a multi-paradigm conceptual basis for learning/instructional theories. This paper discusses the feasibility of building such an ontology, as well as the functionality of a theory-aware authoring tool based on it.

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“…This is another step forward in the improvement of ontology-aware authoring systems that offer intelligent guidance to design CL activities supported by theoretical knowledge that solves, at least partially, the problems of knowledge representation presented in [15]. The proposed system MARI supported by our model GMIP and theories described as ontologies allow us to work with theories at the macro and micro levels and to create a link between them.…”

Section: Discussionmentioning

confidence: 99%

“…According to [15] there is a deep conceptual gap between knowledge of authoring systems. Because of that these systems cannot share or accumulate new knowledge, usually are based on only one theory that is built in the procedures (programming code) to support the design of learning activities, and do not justify their recommendations systematically and scientifically.…”

mentioning

confidence: 99%

Deployment of Ontologies for an Effective Design of Collaborative Learning Scenarios

Isotani

Mizoguchi

Groupware: Design, Implementation, and Use

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Abstract. Two of the most important research subjects during the development of intelligent authoring systems (IAS) for education are the modeling of knowledge and the extraction of knowledge flows from theory to practice. It bridges the gap between theoretical understanding about learning and the practical foundations of design the knowledge of intelligent systems that support the learning process. Developing an IAS for collaborative learning is especially challenging in view of knowledge representation because it is based on various learning theories and given the context of group learning where the synergy among the learner's interactions affect the learning processes and hence, the learning outcome. The main objective of this work is to introduce an ontological infrastructure on which we can build a model that describes learning theories and to show how we can use it to develop programs that provide intelligent guidance to support group activities based on well-grounded theoretical knowledge.

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Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives

Cited by 58 publications

References 15 publications

Collection of Web Multimedia Teaching Resources Using Ontology

Collection of Web Multimedia Teaching Resources Using Ontology

Structurization of Learning/Instructional Design Knowledge for Theory-Aware Authoring Systems

Deployment of Ontologies for an Effective Design of Collaborative Learning Scenarios

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