HCAug 12, 2020

Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study

arXiv:2008.05847v13 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for validation of gamification recommendations in e-learning, but it is incremental as it builds on existing strategies without introducing new methods.

The study aimed to validate the effectiveness of data-driven gamification strategies in e-learning by surveying students on 25 predefined strategies, finding that Acknowledgement, Objective, and Progression are perceived as important elements.

Gamification design has benefited from data-driven approaches to creating strategies based on students characteristics. However, these strategies need further validation to verify their effectiveness in e-learning environments. The exploratory study presented in this paper thus aims at verifying how data-driven gamified strategies are perceived by the students, i.e., the users of e-learning environments. In this study, we conducted a survey presenting 25 predefined strategies, based on a previous study, to students and analysed each strategys perceived relevance, instanced in an e-learning environment. Our results show that students perceive Acknowledgement, Objective and Progression as important elements in a gamified e-learning environment. We also provide new insights about existing elements and design recommendations for domain specialists.

Foundations

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