Implementation and Evaluation on Automated E-Learning Contents Creation Based on Natural Language Processing Techniques

Yiyi Wang, Koji Okamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

E-Learning automation is a set of computer instructions used to solve the difficulties of effective E-Learning systems management. And based on the merits of natural language processing techniques, E-Learning automation has already achieved great progress, such as automatic E-Learning online quizzes creation and students’ questions answering. This research mainly focuses on finding a powerful method for E-Learning contents creation to solve the problem of difficulties in E-Learning system management. This research can be mainly divided into four steps: Firstly, automatically summarize relevant texts to get straightaway texts from the source version. Secondly, detect keywords from generated summaries. Then, delete the detected keywords from summaries. Finally, rearrange outputs from previous steps to generate online questions and learning materials.

Original languageEnglish
Title of host publicationWeb, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
EditorsLeonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
PublisherSpringer
Pages662-670
Number of pages9
ISBN (Print)9783030440374
DOIs
Publication statusPublished - 2020
EventWorkshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020 - Caserta, Italy
Duration: Apr 15 2020Apr 17 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1150 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceWorkshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
Country/TerritoryItaly
CityCaserta
Period4/15/204/17/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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