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

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

نتاج البحث: Conference contribution

6 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017
المحررونVictor Olu Matthews, Adewole Adewumi, Sanjay Misr
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات1-6
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781509046423
المعرِّفات الرقمية للأشياء
حالة النشرPublished - نوفمبر 28 2017
الحدث2017 IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017 - Lagos, Nigeria
المدة: أكتوبر ٢٩ ٢٠١٧أكتوبر ٣١ ٢٠١٧

سلسلة المنشورات

الاسمProceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017
مستوى الصوت2017-January

Other

Other2017 IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017
الدولة/الإقليمNigeria
المدينةLagos
المدة١٠/٢٩/١٧١٠/٣١/١٧

ASJC Scopus subject areas

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