Optimizing Token Distribution in Reward Schemes: A Simulation-Based Case Study

By exploring the potential of blockchain technology in educational settings, this study delves into the implementation of token economies in online learning platforms aiming to enhance student motivation and address educational inequalities. The research focuses on how token reward schemes can be formalized and implemented within blockchain-based educational systems. A significant gap identified in literature is the lack of strategies for the formalization and consistent distribution of token rewards in educational contexts. The case study addressed in this work focuses on a Learning-to-Earning platform in South Africa, attempting to tackle issues of educational inequalities. The research methodology involves the use of simulations of different token reward schemes over a 30-day period, assessing their potential impact on student engagement and learning outcomes. The results show that each token reward scheme can be designed to cover specific course contents. This allows for the optimization of student incentives to not only encourage course completion but also to improve their academic performance. These findings play a crucial role in the application of blockchain-based token reward systems in online educational platforms, that allows equal learning opportunities.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/bcca62388.2024.10844480
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Token Distribution in Reward Schemes: A Simulation-Based Case Study

Lukas Sparer
Diverse Scientific and Economic Studies
article

Optimizing Token Distribution in Reward Schemes: A Simulation-Based Case Study

Lukas Sparer
article en

Abstract

By exploring the potential of blockchain technology in educational settings, this study delves into the implementation of token economies in online learning platforms aiming to enhance student motivation and address educational inequalities. The research focuses on how token reward schemes can be formalized and implemented within blockchain-based educational systems. A significant gap identified in literature is the lack of strategies for the formalization and consistent distribution of token rewards in educational contexts. The case study addressed in this work focuses on a Learning-to-Earning platform in South Africa, attempting to tackle issues of educational inequalities. The research methodology involves the use of simulations of different token reward schemes over a 30-day period, assessing their potential impact on student engagement and learning outcomes. The results show that each token reward scheme can be designed to cover specific course contents. This allows for the optimization of student incentives to not only encourage course completion but also to improve their academic performance. These findings play a crucial role in the application of blockchain-based token reward systems in online educational platforms, that allows equal learning opportunities.

Vienna University of Economics and Business (AT)
Openalex Percentile: Top 69%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.