New Smart Virtual Content for Hanzi Characters in Mandarin Laboratories

DOI

10.2991/aer.k.201124.004How to use a DOI?

Keywords

Virtual Content, Virtual Laboratory

Abstract

Industrial technology is developing rapidly accompanied by learning technology, especially in some virtual applications. Virtual Laboratory is one of the virtual learning applications that is currently being developed in the 4.0 industrial revolution. The use of virtual laboratories in Revolution 4.0 made major contributions in several educational institutions especially inadequate facilities and infrastructure. Recent years of virtual laboratory research have been carried out. Media, models, and materials in the laboratory are some of the things that are mostly developed in virtual laboratories, but the learning developed is limited to one direction. One weakness is the user/user cannot develop content in a virtual laboratory. This research develops intelligent virtual content for virtual laboratories. This intelligent virtual content is developed based on content material that matches the capabilities and expectations of users in the virtual laboratory. Virtual laboratory users are lecturers, students, and third parties. Test smart virtual content in virtual laboratories at Chinese Language University Malang State University students with Hanzi Character material. The results of trials using intelligent virtual content in this virtual laboratory obtain an accuracy value of 90.4%.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - S Sunarti
AU  - Tiksno Widyatmoko
AU  - Lukluk Ul Muyassaroh
AU  - Dewi Kartika Ardiyani
AU  - Edy Hidayat
AU  - Maria Mintowati
PY  - 2020
DA  - 2020/11/24
TI  - New Smart Virtual Content for Hanzi Characters in Mandarin Laboratories
BT  - Proceedings of the International Joint Conference on Science and Engineering (IJCSE 2020)
PB  - Atlantis Press
SP  - 19
EP  - 24
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201124.004
DO  - 10.2991/aer.k.201124.004
ID  - Sunarti2020
ER  -