Development of a Personalized Virtual Laboratory Using Artificial Intelligent

DOI

10.2991/assehr.k.200711.018How to use a DOI?

Keywords

virtual laboratory, artificially intelligent, personalized, web learning

Abstract

The development of learning technology in industry 4.0 in the last few years was growing rapidly one of which was a virtual application. One of the virtual learning applications developed was a virtual laboratory. The use of virtual laboratories in Revolution 4.0 was very useful especially educational institutions that did not have enough space and equipment. Virtual laboratory research had been carried out in recent years. The development of virtual laboratories developed was the media, models, and materials in virtual laboratories. The existing virtual laboratory was one-way learning. Virtual laboratories had no feedback with users especially the desires and abilities of users in virtual laboratories. Laboratory learning based on user desires and abilities as needed. This learning model was known as personalization. This research developed a virtual laboratory that was personalized by utilizing artificial intelligence. The ability and will of the user were processed by artificial intelligence to determine the model, media, and materials suitable for the user. The results of testing in this virtual laboratory obtained accuracy values according to users based on personalized obtained at 90.8%.

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  - Irawan Dwi Wahyono
AU  - Hari Putranto
AU  - Djoko Saryono
AU  - Khoirudin Asfani
AU  - Sunarti
PY  - 2020
DA  - 2020/07/13
TI  - Development of a Personalized Virtual Laboratory Using Artificial Intelligent
BT  - Proceedings of the International Conference on Learning Innovation 2019 (ICLI 2019)
PB  - Atlantis Press
SP  - 101
EP  - 107
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200711.018
DO  - 10.2991/assehr.k.200711.018
ID  - Wahyono2020
ER  -