Is adaptive learning combined with AI, the new trend of business schools in the year 2023

AI-powered adaptive learning, part of the next-generation learning environment, offers the following distinct advantages that put the learner in the driver’s seat of their educational journey.

India Today Web Desk

New Delhi,UPDATED: December 19, 2022, 1:42 PM IST

Is adaptive learning combined with artificial intelligence the new business school trend in 2023

Is adaptive learning combined with artificial intelligence the new business school trend in 2023

India Today Web DeskIn 2022, artificial intelligence (AI) is not just the focal point of science fiction stories, but plays a vital role in almost every industry, and education is no exception. The emergence of AI combined with adaptive learning has the potential to change what and how teaching and learning happens in business schools, enabling the growing demand for customization and flexibility in higher education.

In today’s data-driven world, adaptive learning is at the forefront of revolutionary change, armed with advances in artificial intelligence, machine learning and data science. B-schools around the world have a unique opportunity to develop innovations for lifelong learning.

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As more and more data hits the road, AI will be an invaluable tool for the next evolution of adaptive learning. It’s more than just enhancing the learning experience. Artificial intelligence-based adaptive learning is part of the next-generation technology landscape and offers the following 5 applications in the B-school context –

  • Differentiated learning – It can provide personalized suggestions and feedback to students based on the difficulty they face in different subjects. Additionally, teachers can create meaningful reports to track student progress and create content relevant to each student using the following tools.

  • An effective study strategy for exam preparation – By dynamically adapting content that includes multiple cycles of quizzes that reveal knowledge gaps and provide appropriate recommendations, AI adaptive learning eliminates the need for pre-assessments as well as pre-defined learning paths.

  • Improved pedagogical experience – Business schools can use AI-driven analytics to uncover critical trends and identify key markers that can help them create the best classroom experience and transform into a more specialized institution. Additionally, non-teaching tasks can be overwhelming for educators. AI can come in handy here. This allows them to grade tests and manage administrative work, significantly reducing workload.

  • Pragmatic and innovative research – AI can combine research, impact and expertise with real-world practice in business schools. The research cycle can be accelerated by using new methods of knowledge generation. In addition to leveraging industry data and collaborating with industry experts and other schools, this can help generate more relevant content quickly.

  • Dedicated support 24×7 — Traditionally, students are expected to wait until class time or until faculty members to answer questions. However, things have changed with AI. Student support is available 24/7 via AI chatbots. Thus, they can get relevant answers and solutions on demand.

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Therefore, in terms of disrupting the status quo from a business perspective, the “one-size-fits-all” model traditionally associated with business schools has lost its luster. To prepare for the next generation of leaders, B-schools need to develop both curriculum and pedagogy using AI-enabled adaptive learning systems to adequately implement “teaching to your ability” as their teaching philosophy.

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Note. The author represents Fortune Institute of International Business (FIIB), New Delhi, a renowned B-school that uses a modern, technology-based approach to address student learning and engagement.

This article was written by Radhika Shrivastava, Executive Director of the Fortune Institute for Insider Business (FIIB).


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