A Framework for Conceptually Modelling the Domain Knowledge of an Instructional System

Pecheanu, Emilia; Dumitriu, Luminița; Stefanescu, Diana; Segal, Cristina

doi:10.1007/11758525_27

Cited by 2 publications

(6 citation statements)

References 2 publications

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“…The Precedence Relation and the Contribution Relation defined above have several interesting properties permitting to transform these complex, many-to-many relations into one-to-one incidence relations. These properties have been stated and demonstrated in Pecheanu (2003a) as follows.…”

Section: Definitionmentioning

confidence: 97%

“…The model described herein consists of a theor-etical framework and the resulting knowledge representation approach, which might be adopted in order to build the knowledge space of an intelligent instructional system. The model is called COUL-M (COnceptual Units' Lattice Model) and has been developed and fully described in (Pecheanu, 2003a). The mathematical foundations of the COUL-M model has been also developed in (Pecheanu, 2003a), and has been derived mainly from two mathematical theories: the Formal Concepts Analysis, (Ganter and Wille, 1999) and the Logical Concept Analysis (Ferré, 1999).…”

Section: Design Principles For the Coul-m Modelmentioning

confidence: 99%

“…The model is called COUL-M (COnceptual Units' Lattice Model) and has been developed and fully described in (Pecheanu, 2003a). The mathematical foundations of the COUL-M model has been also developed in (Pecheanu, 2003a), and has been derived mainly from two mathematical theories: the Formal Concepts Analysis, (Ganter and Wille, 1999) and the Logical Concept Analysis (Ferré, 1999).…”

Section: Design Principles For the Coul-m Modelmentioning

confidence: 99%

“…The designing approaches adopted to develop the COUL-M model comply with the following principles, taken from (Pecheanu, 2003a):…”

Section: Design Principles For the Coul-m Modelmentioning

confidence: 99%

“…The formal concepts' intension part (or the intension-sets of the formal concepts) will stand as the "Conceptual Units" related to the teaching material. Several lattices of Conceptual Units, standing as a Conceptual Structures for the domain knowledge can be finally derived (Pecheanu, 2003a).…”

Section: The Mathematical Formalization Of the Coul-m Modelmentioning

confidence: 99%

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From conceptual modelling to knowledge representation in intelligent instructional environments

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This paper presents a new solution for conceptually modeling the training‐domain knowledge of intelligent computerassisted instructional (ICAI) systems. Various cognitive demands from learners impose various modalities of presenting and structuring the knowledge to be taught. This paper is presenting a theoretical framework allowing to develop coherent, flexible models for the training‐domain knowledge of an ICAI system. A case study and an authoring‐system are also presented, in order to describe the main features of the modeling methods. This new approach in ICAI systems’ domain‐knowledge structuring and representation can offer a solution to the problem of adapting the instructional system interaction to users with different learning styles and needs.

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Section: Definitionmentioning

confidence: 97%

Section: Design Principles For the Coul-m Modelmentioning

confidence: 99%