Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019)

Developing a Learning Monitoring System Dashboard for Augmented Reality in Ubiquitous Geometry (Authentic-UG)

Authors
R Nurtantyana, Suprapto, W Y Hwang, U Hariyanti
Corresponding Author
R Nurtantyana
Available Online 22 May 2020.
DOI
https://doi.org/10.2991/assehr.k.200521.002How to use a DOI?
Keywords
Learning Monitoring System Dashboard (LMSD), Authentic-UG mobile app, AR technology, Augmented Reality
Abstract
The Authentic-UG mobile app requires a monitoring system to process the data produced on AR technology so that it can be displayed with interactive data as a method of assessing student learning behavior. The purpose of this study to develop a Learning Monitoring System Dashboard (LMSD), that can record and analyze student learning behavior during using the Authentic-UG app. This is a research and development (R&D) with the method of agile Extreme Programming (XP). We use white-box testing with nit testing and black box testing with the Unit Acceptance Test (UAT) to measure the system development. The result of this study, we created LMSD with a three-part of main architecture: data source, web service and consumer who can manage, monitor, and analyze the AR technology with the results of testing using unit testing passed 36 scenarios of 36 (100%) and UAT passed 40 scenarios of 40 (100%) which means all functions on LMSD can work successfully. Finally, for the future of the LMSD also can be applied to another AR mobile app.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - R Nurtantyana
AU  - Suprapto
AU  - W Y Hwang
AU  - U Hariyanti
PY  - 2020
DA  - 2020/05/22
TI  - Developing a Learning Monitoring System Dashboard for Augmented Reality in Ubiquitous Geometry (Authentic-UG)
BT  - Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019)
PB  - Atlantis Press
SP  - 9
EP  - 13
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200521.002
DO  - https://doi.org/10.2991/assehr.k.200521.002
ID  - Nurtantyana2020
ER  -