TY - DATA
T1 - Re-Organise - Game data
PY - 2021/11/05
AU - Kasper Lange
AU - Gijsbert Korevaar
UR - https://data.4tu.nl/articles/dataset/Re-Organise_-_Game_data/16930732/1
DO - 10.4121/16930732.v1
KW - Circular economy (CE)
KW - Business Model Innovation
KW - Text mining
KW - Game-based Learning
KW - Serious Gaming
KW - Industrial Symbiosis
N2 - This is an anonymised data set from a game-based learning experiment 
performed in 2019. In the experiment, the effect of playing a business 
game called Re-Organise on learning about circular business model 
innovation was tested. The data set consists of four RDS-datafiles, 
containing the pre-test (prep) and post-test (iter) results of a game 
group and a control group of participants. In order to make the data 
more accessible, these RDS-files are exported to CSV-format using the 
R-script in the repository.
ER -