Content Modeling in Intelligent Instructional Environments

Pecheanu, Emilia; Segal, Cristina; Stefanescu, Diana

doi:10.1007/978-3-540-45226-3_167

Cited by 12 publications

(5 citation statements)

References 1 publication

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“…This approach provides satisfactory answers to the question Q1 formulated in Section 2C, but attempting to answer Q2 and Q3 within this conceptual framework tends to turn the system into a formal e-learning system, not very suitable for unsupervised lifelong learning (see [16]). …”

Section: Database Toolsmentioning

confidence: 99%

Enabling Self-Organization of the Educational Content in Ad Hoc Learning Networks

Șușnea¹,

Vasiliu²,

Mitu³

2013

SIC

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This paper describes a simple solution to create self-organization of the educational content in learning networks by enabling stigmergic interactions between learners. For this purpose, the learning objects have been associated with a special type of metadata, based on the concept of "virtual pheromones". By accessing the learning objects, users create trails of virtual pheromones, which are interpreted as an implicit recommendation for other learners to use those objects. The resulting system operates as a simple recommender system based on collaborative filtering in ad-hoc learning networks. We also suggest the possibility to implement such system in a P2P file sharing environment, as a solution to improve the sustainability of open education systems.

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Section: Database Toolsmentioning

confidence: 99%

Enabling Self-Organization of the Educational Content in Ad Hoc Learning Networks

Șușnea¹,

Vasiliu²,

Mitu³

2013

SIC

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“…A personalized intelligent computer-assisted training system is presented in [14]. A system mapping classroom lectures into Web-based educational lessons is described in [4].…”

Section: Related Workmentioning

confidence: 99%

Cooperative learning objects in an intelligent Web-based tutoring system

Encheva¹,

Tumin

2005

Advanced Industrial Conference on Telecommunications/Service Assurance With Partial and Intermittent Resources Conference/E-Lea

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This paper focuses on an intelligentWeb-based tutorial system composed of reusable learning objects (LOs). Reusable LOs lay down the foundation for a large scale collaboration among educational organizations. LOs developed at different organizations can be used by other organizations thus providing high quality courses to all students. Expert instructors at each organization maintain a repository of LOs. For organizations owning LOs an audit trail for each LO can be easily gathered for billing purposes.

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“…The model (the Conceptual Structure) has to allow for flexibility, i.e., to provide as many as possible transition paths for learning (assimilating) the domain's main concepts. The COUL-M model [9] is a solution for building the Conceptual Structure covering the domain knowledge of a CAI system.…”

Section: Definitionmentioning

confidence: 99%

Domain Knowledge Modelling for Intelligent Instructional Systems

Pecheanu

Dumitriu

Segal

2004

Computational Science - ICCS 2004

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Abstract. This paper presents a solution for conceptually modeling the training domain knowledge of computer-assisted instructional environments. A stringent requirement for an effective computer-assisted instructional environment is to elaborate a proper answer for the differentiated cognitive demands of users. The different cognitive style of learners imposes different modalities of presenting and structuring the information (the knowledge) to be taught. Conceptual organization of the training domain knowledge, with learning stages phasing, can constitute a better solution to the problem of adapting the instructional system interaction to users with different cognitive style and needs.

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Content Modeling in Intelligent Instructional Environments

Cited by 12 publications

References 1 publication

Enabling Self-Organization of the Educational Content in Ad Hoc Learning Networks

Enabling Self-Organization of the Educational Content in Ad Hoc Learning Networks

Cooperative learning objects in an intelligent Web-based tutoring system

Domain Knowledge Modelling for Intelligent Instructional Systems

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