Automating the E-learning personalization

Fathi Essalmi; Leila Jemni Ben Ayed; Mohamed Jemni; Kinshuk; Sabine Graf

doi:10.1007/978-3-642-39146-0_32

Automating the E-learning personalization

Fathi Essalmi, Leila Jemni Ben Ayed, Mohamed Jemni, Kinshuk, Sabine Graf

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

10 Citations (Scopus)

Abstract

Personalization of E-learning is considered as a solution for exploiting the richness of individual differences and the different capabilities for knowledge communication. In particular, to apply a predefined personalization strategy for personalizing a course, some learners' characteristics have to be considered. Furthermore, different ways for the course representation have to be considered too. This paper studies solutions to the question: How to automate the E-learning personalization according to an appropriate strategy? This study finds an answer to this original question by integrating the automatic evaluation, selection and application of personalization strategy. In addition, this automation is supported by learning object metadata and an ontology which links these metadata with possible learners characteristics.

Original language	English
Title of host publication	Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings
Pages	342-349
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-39146-0_32
Publication status	Published - 2013
Event	3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013 - Maribor, Slovenia Duration: 1 Jul. 2013 → 3 Jul. 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7947 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013
Country/Territory	Slovenia
City	Maribor
Period	1/07/13 → 3/07/13

Keywords

E-learning
Evaluation of personalization parameters
Personalization strategy

Access to Document

10.1007/978-3-642-39146-0_32

Cite this

Essalmi, F., Ben Ayed, L. J., Jemni, M., Kinshuk, & Graf, S. (2013). Automating the E-learning personalization. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings (pp. 342-349). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7947 LNCS). https://doi.org/10.1007/978-3-642-39146-0_32

Essalmi, Fathi ; Ben Ayed, Leila Jemni ; Jemni, Mohamed et al. / Automating the E-learning personalization. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. 2013. pp. 342-349 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Essalmi, F, Ben Ayed, LJ, Jemni, M, Kinshuk, & Graf, S 2013, Automating the E-learning personalization. in Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7947 LNCS, pp. 342-349, 3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, 1/07/13. https://doi.org/10.1007/978-3-642-39146-0_32

Automating the E-learning personalization. / Essalmi, Fathi; Ben Ayed, Leila Jemni; Jemni, Mohamed et al.
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. 2013. p. 342-349 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7947 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

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AU - Ben Ayed, Leila Jemni

AU - Jemni, Mohamed

AU - Kinshuk,

AU - Graf, Sabine

PY - 2013

Y1 - 2013

N2 - Personalization of E-learning is considered as a solution for exploiting the richness of individual differences and the different capabilities for knowledge communication. In particular, to apply a predefined personalization strategy for personalizing a course, some learners' characteristics have to be considered. Furthermore, different ways for the course representation have to be considered too. This paper studies solutions to the question: How to automate the E-learning personalization according to an appropriate strategy? This study finds an answer to this original question by integrating the automatic evaluation, selection and application of personalization strategy. In addition, this automation is supported by learning object metadata and an ontology which links these metadata with possible learners characteristics.

AB - Personalization of E-learning is considered as a solution for exploiting the richness of individual differences and the different capabilities for knowledge communication. In particular, to apply a predefined personalization strategy for personalizing a course, some learners' characteristics have to be considered. Furthermore, different ways for the course representation have to be considered too. This paper studies solutions to the question: How to automate the E-learning personalization according to an appropriate strategy? This study finds an answer to this original question by integrating the automatic evaluation, selection and application of personalization strategy. In addition, this automation is supported by learning object metadata and an ontology which links these metadata with possible learners characteristics.

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Essalmi F, Ben Ayed LJ, Jemni M, Kinshuk , Graf S. Automating the E-learning personalization. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. 2013. p. 342-349. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39146-0_32

Automating the E-learning personalization

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