Architecture, textual context description, and quiz generation scheme for the movie based context-aware learning system

Hazriani, Tsuneo Nakanishi, Akira Fukuda

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

1 Citation (Scopus)

Abstract

The concept of the movie based context-aware language learning, which the authors presented in the previous work, is refined in this paper. This paper presents three tiered architecture of the movie based context-aware learning system to enable reuse of movie context description; textual context description which describes the object oriented context model in the text form to alleviate effort describing the movie context; and a template based quiz generation scheme that generates quizzes and their expected answers from the movie context description in a language independent manner.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2410-2413
Number of pages4
ISBN (Electronic)9781509025961
DOIs
Publication statusPublished - Feb 8 2017
Event2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore
Duration: Nov 22 2016Nov 25 2016

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2016 IEEE Region 10 Conference, TENCON 2016
CountrySingapore
CitySingapore
Period11/22/1611/25/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Hazriani, Nakanishi, T., & Fukuda, A. (2017). Architecture, textual context description, and quiz generation scheme for the movie based context-aware learning system. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016 (pp. 2410-2413). [7848463] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2016.7848463