A scheme for extracting information from collaborative social interaction tools for personalized educational environments

Amal Al-Abri; Zuhoor Al-Khanjari; Naoufe Kraiem; Yassine Jamoussi

doi:10.1109/ICCNI.2017.8123795

A scheme for extracting information from collaborative social interaction tools for personalized educational environments

Amal Al-Abri, Zuhoor Al-Khanjari, Naoufe Kraiem, Yassine Jamoussi

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Personalized e-learning systems are mainly structured based on two basic models: domain model and user model. When considering personalization in a collaborative environment with user-generated content via Web 2.0 technologies, the task of generating the models is very challenging. This paper presents an approach to extract information related to the domain model and user model for the purpose of personalization. The extraction is using chat conversations using different social media tools during collaborative learning as sources for the text analysis. Text mining technique has been incorporated to clean the collected data and extract the required information.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017
Editors	Victor Olu Matthews, Adewole Adewumi, Sanjay Misr
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
Volume	2017-January
ISBN (Electronic)	9781509046423
DOIs	https://doi.org/10.1109/ICCNI.2017.8123795
Publication status	Published - Nov 28 2017
Event	2017 IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017 - Lagos, Nigeria Duration: Oct 29 2017 → Oct 31 2017

Other

Other	2017 IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017
Country/Territory	Nigeria
City	Lagos
Period	10/29/17 → 10/31/17

Keywords

collaborative learning
information extraction
natural language processing
personalization
social interaction
text mining

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICCNI.2017.8123795

Cite this

Al-Abri, A., Al-Khanjari, Z., Kraiem, N., & Jamoussi, Y. (2017). A scheme for extracting information from collaborative social interaction tools for personalized educational environments. In V. O. Matthews, A. Adewumi, & S. Misr (Eds.), Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017 (Vol. 2017-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNI.2017.8123795

A scheme for extracting information from collaborative social interaction tools for personalized educational environments. / Al-Abri, Amal; Al-Khanjari, Zuhoor ; Kraiem, Naoufe et al.
Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017. ed. / Victor Olu Matthews; Adewole Adewumi; Sanjay Misr. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Abri, A, Al-Khanjari, Z , Kraiem, N & Jamoussi, Y 2017, A scheme for extracting information from collaborative social interaction tools for personalized educational environments. in VO Matthews, A Adewumi & S Misr (eds), Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017, Lagos, Nigeria, 10/29/17. https://doi.org/10.1109/ICCNI.2017.8123795

Al-Abri A, Al-Khanjari Z , Kraiem N , Jamoussi Y. A scheme for extracting information from collaborative social interaction tools for personalized educational environments. In Matthews VO, Adewumi A, Misr S, editors, Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6 doi: 10.1109/ICCNI.2017.8123795

Al-Abri, Amal ; Al-Khanjari, Zuhoor ; Kraiem, Naoufe et al. / A scheme for extracting information from collaborative social interaction tools for personalized educational environments. Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017. editor / Victor Olu Matthews ; Adewole Adewumi ; Sanjay Misr. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-6

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abstract = "Personalized e-learning systems are mainly structured based on two basic models: domain model and user model. When considering personalization in a collaborative environment with user-generated content via Web 2.0 technologies, the task of generating the models is very challenging. This paper presents an approach to extract information related to the domain model and user model for the purpose of personalization. The extraction is using chat conversations using different social media tools during collaborative learning as sources for the text analysis. Text mining technique has been incorporated to clean the collected data and extract the required information.",

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A scheme for extracting information from collaborative social interaction tools for personalized educational environments

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