This research examines how transformative learning has been conceptualized and operationalized in education for sustainable development (ESD) and sustainability learning, and gathers evidence on how to promote transformative learning in formal and non-formal settings. The author performed a systematic literature review to create a bibliometric overview that combines a quantitative description of the body of literature with a qualitative study of the learning processes, results, and circumstances. The current investigation shows that transformative learning theory may help in designing and implementation of educational interventions and evaluations of learning towards sustainability by analyzing the learning process, results, and circumstances in the core sample of studies. This systematic review allows for a better understanding of how transformative learning theory’s concepts and mechanisms are operationalized in sustainability learning and ESD research, and it serves as a source of encouragement for researchers and practitioners working to make sustainability education, teaching, and learning more transformative.

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.