Automatic Generation of E-Learning Contents Based on Deep Learning and Natural Language Processing Techniques

Yiyi Wang, Koji Okamura

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    With the development of automation in all industries, E-Learning automation: automatically generate E-Learning contents gives E-Learning teachers new opportunities to implement effective management of E-Learning systems. And many eLearning professionals already use E-Learning templates and online asset libraries to create cost effective eLearning courses. Moreover, all E-Learning Automation methods have one thing in common—algorithms: used to control various aspects of e-learning course creation. Additionally, another important thing is online exams which are used to get an immediate feedback from learners. This research focuses on automation generation of E-Learning contents, which can be mainly divided into three parts. Firstly, automatically summarize relevant documents using natural language processing and deep learning techniques. Secondly, detecting keywords in generated summaries and then delete them from input summaries. Finally, rearrange output results and fill them into E-Learning system.

    Original languageEnglish
    Title of host publicationLecture Notes on Data Engineering and Communications Technologies
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages311-322
    Number of pages12
    DOIs
    Publication statusPublished - 2020

    Publication series

    NameLecture Notes on Data Engineering and Communications Technologies
    Volume47
    ISSN (Print)2367-4512
    ISSN (Electronic)2367-4520

    All Science Journal Classification (ASJC) codes

    • Media Technology
    • Electrical and Electronic Engineering
    • Computer Science Applications
    • Computer Networks and Communications
    • Information Systems

    Fingerprint Dive into the research topics of 'Automatic Generation of E-Learning Contents Based on Deep Learning and Natural Language Processing Techniques'. Together they form a unique fingerprint.

    Cite this