University of Bahrain
Scientific Journals

An Extractive Summarization for utilizing Learning Content using Deep Learning algorithm: Proposed Framework and Implementation

Show simple item record AlRoshdi, Yusra AlBadawi, Mohammed Alhamadani, Abdullah Sarrab, Mohamed 2023-03-16T07:56:20Z 2023-03-16T07:56:20Z 2023-03-16
dc.identifier.issn 2210-142X
dc.description.abstract Education has always been a critical factor in the long-term economic development of any society. Most educational institutions use Learning Management Systems (LMSs) to manage and organize students’ learning content. These systems contain many learning materials related to a specific topic or course in different formats, such as documents, HTML pages, videos, figures, etc. However, the enormous amount of information in these materials makes it difficult for students to get what they need according to the course objectives. Therefore, summarization techniques could be one way to facilitate the learning process and provide essential content. Therefore, there is a need to summarize the learning content of the course in the guidance of the course outline. Consequently, it is important to investigate how to summarize learning content to enhance and increase students’ achievement. This paper proposes a framework for a Guided Extractive Summarization of the Learning Content (GESLC). The main contribution is proposing and developing a novel framework combining several deep learning algorithms to provide efficient summarization techniques to summarize the learning content according to the course outline. Several methods are utilized in this study to evaluate the proposed Framework. As we contribute, the evaluation process shows better results in guiding instructors or students to summarize learning content according to the course objectives to finally have a perfect summary matching the learning process’s objectives and enhancing the students’ achievement. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Learning Content, Course outline, Summarization, Extractive Summarization, Knowledge Dissemination, Restricted Boltzmann Machine en_US
dc.title An Extractive Summarization for utilizing Learning Content using Deep Learning algorithm: Proposed Framework and Implementation en_US
dc.type Article en_US
dc.volume 13 en_US
dc.issue 1 en_US
dc.pagestart 461 en_US
dc.pageend 474 en_US
dc.contributor.authoraffiliation Department of Computer Science, Sultan Qaboos University, Muscat, Oman en_US
dc.contributor.authoraffiliation Data Services Department Research Division, Organization of the Petroleum Exporting Countries (OPEC), Vienna, Austria en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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