Yize Wang¹ and Moddwyn Andaya², ¹USA, ²California State Polytechnic University, USA

This paper introduces a novel approach to education through game-based learning by merging chemistry and traffic planning concepts into interactive experiences [1]. The project addresses challenges in comprehending chemical reactions and traffic congestion issues [2][3]. A Unity Engine-based game was developed for each subject [4]. The chemistry game enabled players to simulate real-life chemical reactions and compound combinations, enhancing practical understanding [5]. The traffic planning game offered scenarios to design effective traffic flow, fostering awareness and knowledge of traffic management. Both experiments demonstrated significant post-test score improvements in the experimental groups compared to controls. Results underscore the efficacy of game-based learning in promoting experiential comprehension. The immersive and interactive nature of the games facilitated engagement, enabling participants to apply theoretical knowledge to practical situations. These findings contribute to innovative educational tools that bridge theoretical gaps and provide effective learning avenues

Modeling, Data Science, Machine Learning, Game Engine