OBJECT-ORIENTED CONTEXT DESCRIPTION FOR MOVIE BASED CONTEXT-AWARE LANGUAGE LEARNING

Hazriani, Hazriani and Nakanishi, Tsuneo and Hisazumi, Kenji and Fukuda, Akira (2018) OBJECT-ORIENTED CONTEXT DESCRIPTION FOR MOVIE BASED CONTEXT-AWARE LANGUAGE LEARNING. International Journal on Advanced Science and Computer Application (IJACSA), 9 (4). pp. 350-370. ISSN 2156-5570

This is the latest version of this item.

[img] Text
1.6 IJACSA_ObjectOrientedContextModel.pdf
Download (491kB)
[img] Text
UjiSimilarity_Object-OrientedContextDescription.pdf
Download (536kB)
[img] Text
RekapKorespondensiArtikel_IJACSAVol9No4.pdf
Download (631kB)
Official URL: https://thesai.org/Publications/ViewPaper?Volume=9...

Abstract

Context-aware ubiquitous learning is a promising way to learn languages; however, it requires developers and operators of much effort to construct, deploy, and use the specialized system. As its alternative, this paper proposes movie based context-aware language learning (MBCALL) that enables learners to learn languages through quizzes generated along virtual contexts occurring in the movie to be replayed. Since full automatic context capturing from the movie is impossible, the authors define an object-oriented context model (OOCM) and also a textual context description language subject to the OOCM to describe the movie context easily by human work. The OOCM introduces the case grammar concept of natural language processing. This enables quiz generation based on types of the words for objects, actions, and modes found in the movie. Evaluation with a small movie by three subjects shows that the OOCM can guide them to enrich information included in the movie context; therefore, we can generate more types of quizzes based on the movie context.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: Dr. Eng. Hazriani S.Kom., M.T.
Date Deposited: 17 Jun 2022 03:27
Last Modified: 17 Jun 2022 03:27
URI: http://repo.handayani.ac.id/id/eprint/140

Available Versions of this Item

Actions (login required)

View Item View Item
Test Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.