A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning

As a novel framework in classroom teaching, digital games have gained traction. Anyone can play online games, that eventually ascribe potential for large-scale classroom instruction. Digital games have gained popularity in recent years as a way to encourage programming and computational thinking in pre-college (K-12) classrooms. Since the last decade, an ever-increasing number of learners have been drawn by the rapidly expanding areas of Machine Learning (ML) and Artificial Intelligence (AI). Regardless of the fact that blending of AI/ML and online/digital gaming is a significant and critical subject for classroom pedagogy, there is indeed a paucity of comprehensive literature review in this domain. The aim of this paper is to take cognizance of recent studies and new findings on games that may be used to enhance AI/ML integrated pedagogy for effective curriculum transaction. Relevant articles and games were identified after a thorough exploration and were then included in this qualitative content analysis. This paper presents an overview of important published studies and games, as well as demonstrate how diverse games offer an exceptional and innovative prospect to educate a wealth of concepts and themes in AI and ML.