Learning Channels to Support Interaction and Collaboration in CourseMapper

Ain, Qurat Ul; Chatti, Mohamed Amine; Joarder, Shoeb; Nassif, Ilia; Teda, Benjamine Stella Wobiwo; Guesmi, Mouadh; Alatrash, Rawaa

doi:10.1145/3572549.3572590

Cited by 3 publications

(1 citation statement)

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“…Our main goal is to automatically construct an EduKG for the learning material in CourseMapper. CourseMapper is a MOOC platform that we developed to help learners effectively create and manage courses, collaborate with each other, and interact with learning materials using shared annotations [45]. Generally, an EduKG on top of a MOOC platform is a heterogeneous information network consisting of different entities and relationships between them.…”

Section: Edukg In Coursemappermentioning

confidence: 99%

Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based Approach

Ain,

Chatti,

Bakar

et al. 2023

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Knowledge graphs (KGs) are widely used in the education domain to offer learners a semantic representation of domain concepts from educational content and their relations, termed as educational knowledge graphs (EduKGs). Previous studies on EduKGs have incorporated concept extraction and weighting modules. However, these studies face limitations in terms of accuracy and performance. To address these challenges, this work aims to improve the concept extraction and weighting mechanisms by leveraging state-of-the-art word and sentence embedding techniques. Concretely, we enhance the SIFRank keyphrase extraction method by using SqueezeBERT and we propose a concept-weighting strategy based on SBERT. Furthermore, we conduct extensive experiments on different datasets, demonstrating significant improvements over several state-of-the-art keyphrase extraction and concept-weighting techniques.

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Section: Edukg In Coursemappermentioning

confidence: 99%