Adaptive Learning Ecosystems

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Authors: Tanupriya Choudhury, Mohit Yadav, Narayanage Jayantha Dewasiri, Minakshi
Cited by: 1
References: 2

Abstract

The accelerating pace of technological change has created a critical skills gap, rendering traditional corporate training models obsolete. This chapter explores the transformative potential of adaptive learning ecosystems—AI-enabled, cloud-native platforms that create dynamic, personalized environments for continuous employee upskilling. It deconstructs the core architectural pillars of these systems: artificial intelligence for personalization, cloud infrastructure for scalability, and dynamic content for relevance. The analysis covers the mechanisms of adaptation, strategic benefits for organizational agility, and a practical implementation framework. It also addresses critical challenges, including data privacy and algorithmic bias. Ultimately, the chapter argues that investing in these ecosystems is a strategic imperative, enabling businesses to build a resilient, future-ready workforce and sustain a competitive advantage in the AI-augmented economy.

Fields of Study & Subjects

Educational Leadership and Innovation E-Learning and Knowledge Management Online Learning and Analytics

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
1–14
Publication date
13 February 2026
Document type
Book chapter