How Does Generative Artificial Intelligence Affect Game-Based Learning? - A Systematic Review Based on Studies between 2017-2025

Authors

  • Jiayong Wang School of Educational Technology, Beijing Normal University
  • Xiulin Ma School of Educational Technology, Beijing Normal University

Keywords:

game-based learning, generative artificial intelligence, systematic review

Abstract

The positive impact of game-based learning (GBL) as a teaching method has been widely confirmed, but there is a lack of literature reviews that focus on the development of GBL supported by generative artificial intelligence (GenAI). To fill the gap, this systematic review analyzes the screened included literature and finds that: (1) GenAI provides technical support for GBL, such as machine learning; (2) GenAI brings new impetus to GBL design, including updating the composition of gamification elements, building interactive situations, and motivating personalized learning. (3) The positive effect of GenAI-supported GBL has been further improved. The above findings bring new enlightenment to the research and development of GBL in the future.

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Published

2025-06-06