A Fractal Component Based Knowledge Domain Model

Boulehouache, Soufiane; Maamri, Remdane; Imen, K.; Sahnoun, Zaïdi

doi:10.1109/eidwt.2013.34

Cited by 2 publications

(3 citation statements)

References 28 publications

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“…2 The implementation is tackled using Julia, the reference implementation of the Fractal model. 3 For further reading on the Fractal-Based Knowledge Domain model refer to Boulehouache et al (2013). 4 A class in the sense of object-oriented paradigm.…”

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confidence: 99%

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A component-based knowledge domain model for adaptive human learning systems

Boulehouache

Maamri²,

Sahnoun³

2015

IJKL

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Adaptive human learning systems (AHLSs) are important tools to personalise learning. However, the used domain representation formalisms lack the needed precision and flexibility those make the domains efficiently adaptable and intensively reusable. To address this issue, we propose a component based knowledge domain for an AHLS that aims to improve the adapting efficiency and provides intensive reuse of the pre-built (sub) knowledge domains. To show the feasibility and the benefits of the proposed AHLS, a prototype that experiments the explanation variants method is implemented. So, unlike the other, our AHLS achieves the adapted learning by (re)selecting and sequencing the appropriate linear combination of the component variants explaining the corresponding concepts. Also, as a more challenging task, to get a compromised solution of the conflicting learning goals and to reduce the substantial overhead, the adapting is formulated as a multi-objective component variants selection problem and it is implemented using Genetic Algorithms.Reference to this paper should be made as follows: Boulehouache, S., Maamri, R. and Sahnoun, Z. (2015) 'A component-based knowledge domain model for adaptive human learning systems', Int.

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Section: Notesmentioning

confidence: 99%

“…The concepts modelling in Fractal ADL Source:Boulehouache et al (2013) Source:Boulehouache et al (2013) …”

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confidence: 99%

A component-based knowledge domain model for adaptive human learning systems

Boulehouache

Maamri²,

Sahnoun³

2015

IJKL

Self Cite

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“…So, through the graphical representation of the Knowledge Figure 19. Visual presentation of the knowledge structure (Boulehouache, Maamri, Imen, & Sahnoun, 2013) Structure, the learner can pick voluntary the Goal Concept to learn. In the Figure 19, the selected goal concept is the "sub formula concept".…”

Section: Figure 14 Cpu Consumption Of the Sub-components At A Given S...mentioning

confidence: 99%

A Context-Aware Self-Adaptive Fractal Based Generalized Pedagogical Agent Framework for Mobile Learning

Boulehouache

Maamri

Sahnoun

2015

International Journal of Distance Education Technologies

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The Pedagogical Agents (PAs) for Mobile Learning (m-learning) must be able not only to adapt the teaching to the learner knowledge level and profile but also to ensure the pedagogical efficiency within unpredictable changing runtime contexts. Therefore, to deal with this issue, this paper proposes a Context-aware Self-Adaptive Fractal Component based Generalized Pedagogical Agent (CASA FBGPA) framework for Mobile Learning. The proposed framework allows for the construction of PA that self-reconfigures its structure, the functional part, to conform to the unpredictable changing runtime context. To carry out the context-awareness, the PA embeds a distinct Search based Adapting Engine that dynamically monitors and assembles the appropriate linear combination of Fractal components. In addition, to avoid the rules associated conceptual holes, to deal with the conflicting objectives and to reduce the substantial overhead, the components selection is formulated as a multiobjective problem and it is tackled using a metaheuristic search method. Furthermore, to evaluate the design and the feasibility of the proposed framework, a use case and a discussion are provided.

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A Fractal Component Based Knowledge Domain Model

Cited by 2 publications

References 28 publications

A component-based knowledge domain model for adaptive human learning systems

A component-based knowledge domain model for adaptive human learning systems

A Context-Aware Self-Adaptive Fractal Based Generalized Pedagogical Agent Framework for Mobile Learning

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