2019
Legaki, Nikoletta Zampeta; Xi, Nannan; Hamari, Juho; Assimakopoulos, Vassilios
Gamification of the Future: An Experiment on Gamifying Education of Forecasting Proceedings Article
In: Bui, Tung (Ed.): Proceedings of the 52nd Hawaii International Conference on System Sciences, pp. 1813-1822, HICSS, 2019, ISBN: 978-0-9981331-2-6.
Abstract | Links | Tags: Controlled experiments, Decision analytics, Forecasting, Gamification, Learning, Mobile services, Service science
@inproceedings{Legaki2019,
title = {Gamification of the Future: An Experiment on Gamifying Education of Forecasting},
author = {Nikoletta Zampeta Legaki and Nannan Xi and Juho Hamari and Vassilios Assimakopoulos},
editor = {Tung Bui},
url = {https://urn.fi/URN:NBN:fi:tuni-202101111167},
doi = {doi:10.24251/HICSS.2019.219},
isbn = {978-0-9981331-2-6},
year = {2019},
date = {2019-01-08},
urldate = {2019-01-08},
booktitle = {Proceedings of the 52nd Hawaii International Conference on System Sciences},
pages = {1813-1822},
publisher = {HICSS},
abstract = {In this study, we developed a gamied learning platform called F-LauReLxp that employed three gamification strategies (called Horses for Courses, JudgeIt and Metrics to Escape) to help educate statistical, judgmental forecasting and forecasting accuracy respectively. This study presents a quantitative analysis of experimental design concerning learning performance of 261 students of an undergraduate and a MBA course. Treatment and control groups were compared in a series of experiments. The results show that using gamified applications as a complementary teaching tool in a forecasting course had a positive impact on students’ learning performance.},
keywords = {Controlled experiments, Decision analytics, Forecasting, Gamification, Learning, Mobile services, Service science},
pubstate = {published},
tppubtype = {inproceedings}
}
In this study, we developed a gamied learning platform called F-LauReLxp that employed three gamification strategies (called Horses for Courses, JudgeIt and Metrics to Escape) to help educate statistical, judgmental forecasting and forecasting accuracy respectively. This study presents a quantitative analysis of experimental design concerning learning performance of 261 students of an undergraduate and a MBA course. Treatment and control groups were compared in a series of experiments. The results show that using gamified applications as a complementary teaching tool in a forecasting course had a positive impact on students’ learning performance.