VisualOPIE was designed to leverage the logging capabilities of OPIE to provide a human-friendly visualisation of data. In turn, this visualisation will assist teachers, linguists, and engineers, in identifying where OPIE is effective and where OPIE could be improved.
VisualOPIE is a dashboard visualising data that is: User-centric (e.g., how well is a particular person doing with learning words?) Language-centric (e.g., which languages are being utilised, how easy or difficult are certain words?) * Activity-centric (e.g., which activities are being used, how long, and which activities are performing as expected?)
VisualOPIE is part of the Indigenous Langauge Robot eco-system, initially developed for the OPIE version!
Aninda Saha (a.saha@uq.net.au), James Nguyen (j.nguyen@uq.net.au)
OPIE is part of the OPAL project at the University of Queensland, within the Social Robotics Group which is part of the ITEE Co-Innovation Group.
The Indigenous Language Robot project is a collaborative project with the Ngukurr community, and Ngukurr Language Centre in Australia. More information.
The project was supervised by Dr Gautier Durantin.
User Guides : For general guides on how to use VisualOPIE.
In the R console:
install.packages("devtools") # If not already installed.
devtools::install_github("CoEDL/visualopie")
Installation will also install package dependencies detailed in the 'Tech Stack' section.
library(visualopie)
run_visualopie()
R with the following required packages: Shiny Shiny Dashboard Tidyverse data.table * DT
Packages can be installed manually in R or the R Studio console with install.packages('PackageName'), e.g., install.packages('tidyverse').
If necessary you can download and install R here, and R Studio here.
Shiny Directory Input License: BSD 3-Clause License (View) Author: W. Lee Pang, PhD
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