Summarizing Learning Materials Using Graph Based Multi-Document Summarization

Krishnaveni P and Balasundaram S R
Additional contact information
Krishnaveni P: National Institute of Technology, Tiruchirappalli, India
Balasundaram S R: National Institute of Technology, Tiruchirappalli, India

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2021, vol. 16, issue 5, 39-57

Abstract: The learners and teachers of the teaching-learning process highly depend on online learning systems such as E-learning, which contains huge volumes of electronic contents related to a course. The multi-document summarization (MDS) is useful for summarizing such electronic contents. This article applies the task of MDS in an E-learning context. The objective of this article is threefold: 1) design a generic graph based multi-document summarizer DSGA (Dynamic Summary Generation Algorithm) to produce a variable length (dynamic) summary of academic text based learning materials based on a learner's request; 2) analyze the summary generation process; 3) perform content-based and task-based evaluations on the generated summary. The experimental results show that the DSGA summarizer performs better than the graph-based summarizers LexRank (LR) and Aggregate Similarity (AS). From the task-based evaluation, it is observed that the generated summary helps the learners to understand and comprehend the materials easily.

Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... /IJWLTT.20210901.oa3 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwltt0:v:16:y:2021:i:5:p:39-57

Access Statistics for this article

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

More articles in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().