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Education and Information Technologies

Erschienen in:

19.11.2015

A novel method of case representation and retrieval in CBR for e-learning

verfasst von: Aditya Khamparia, Babita Pandey

Erschienen in: Education and Information Technologies | Ausgabe 1/2017

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Abstract

In this paper we have discussed a novel method which has been developed for representation and retrieval of cases in case based reasoning (CBR) as a part of e-learning system which is based on various student features. In this approach we have integrated Artificial Neural Network (ANN) with Data mining (DM) and CBR. ANN is used to find the relationship between student characteristics and learning performance, DM to generate classification rules for learning outcomes which are further used to generate cases for the case base and CBR for reasoning. This adaptive system helps in facilitating the course content of different difficulty level to individuals according to their features. The result shows the above method provides the learning material to student as per their need and helps them to enhance their learning.

Vorheriger Artikel Student teachers’ discourse about digital technologies and transitions between formal and informal learning contexts

Nächster Artikel Pedagogy and interactive white board technology integration in higher education institutions: Computer-based teaching scenario protoypes

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Titel: A novel method of case representation and retrieval in CBR for e-learning
verfasst von: Aditya Khamparia
Babita Pandey
Publikationsdatum: 19.11.2015
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 1/2017
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-015-9447-8

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