From Data to Discipline: Exploring AI’s Role in Behavior Management in Bangalore’s Educational Institutions

Abstract

There has been an increasing trend of using artificial intelligence applications in behavior management to find intelligent solutions for over-behavioring students in any educational setup. Quantitative research was conducted in the educational institutions of Bangalore, India to investigate the behavior management role of AI. The study involved a sample of 76 educators and administrators who contributed to the current cohort with observations on their perceptions, intentions, predictors for adopting AI-based behavior management systems. Descriptive statistics showed the program achieved a heterogeneous sample, covering a wide range of familiarity with AI issues and number of years in education. The regression analysis revealed that familiarity with AI, years of practice and age were strong predictors of the likelihood to adopt an AI-based solution. This analysis on correlation allowed for another interpretation between these variables, showing how individual characteristics and attitudes are crucial in building the intention to adopt. The results highlight the promise of AI in behavior control, with increased operational efficiency and personalized intervention. We also discuss ethical considerations and concerns about algorithmic bias. These findings lead to recommendations for affinity group training, awareness-building activity distributions, moral ethics codes, and partnering with advocacy groups or policy makers who promote the responsible implementation of AI in behavior manipulation. learning. The study adds to the emerging literature on AI in education by providing valuable information and guidance for harnessing the potential of AI tools wisely towards the betterment of both students and teachers.