LEVERAGING DIFFERENT AI AND MACHINE LEARNING ALGORITHMS TO ENHANCE PRODUCTIVITY IN BUSINESS AND MANAGEMENT EDUCATION

  • College of Engineering, BPUT University, India.
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Artificial intelligence (AI) stands as a monumental breakthrough in the technological landscape of the past decade. The fusion of artificial intelligence (AI) with teaching strategies has emerged as a crucial driving force in contemporary education. Recently, AI has risen to prominence as a formidable ally in the realm of learning. Within the educational arena,artificial intelligence(AI) has become a revolutionary force, presenting innovative and exceptional solutions to age-old challenges while simultaneously forging new pathways for individualized and adaptable learning journeys. Amidst the digital upheaval, artificial intelligence (AI) has been intricately integrated into various educational frameworks, ranging from virtual learning experiences and data-driven forecasts to sophisticated tutoring systems and automated grading mechanisms. Its capacity to fundamentally reshape multiple sectors, affecting every facet of society, is especially apparent within the educational domain.AI holds the promise of transforming the educational landscape in its entirety by accommodating diverse learning preferences and enhancing the learning atmosphere. AI breathes freshness into pedagogy, thereby radically altering conventional teaching and learning techniques. This metamorphosis is driven by AI’s remarkable ability to juggle multiple tasks, such as intelligent tutoring, automated evaluations, and bespoke content delivery (Ray & Sikdar, 2023).This chapter elucidates the foundational role of AI in educational revolutions,outlining various methods of AI implementation in educational progress,current trends,and future research trajectories (Dey, 2024). Leveraging different AI technologies and algorithms for business and management education is the priority of this chapter.


[Snehasis Dey and Barsha Baishali Sahoo (2025); LEVERAGING DIFFERENT AI AND MACHINE LEARNING ALGORITHMS TO ENHANCE PRODUCTIVITY IN BUSINESS AND MANAGEMENT EDUCATION Int. J. of Adv. Res. (Nov). 808-821] (ISSN 2320-5407). www.journalijar.com


Snehasis Dey