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Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities

  • Karthik Shivashankar and Venkat Bakthavatchaalam
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Artificial Intelligence Enabled Management
This chapter is in the book Artificial Intelligence Enabled Management

Abstract

This research explores the development of data-driven management practices and policies to address the educational needs of children with disabilities within an evolving economic landscape. Around 1.3 billion people globally live with disabilities, with 80% in developing nations. The proposed model, targeting these marginalised groups, incorporates a data-driven approach segmented into three levels: school, regional, and national. In this work, initial non-intrusive data collection at the school level identifies students’ needs based on demographics and unique requirements. Regional bodies collect similar data from the participating schools to define policies tailored to the particular needs of the demography. Centralised data from various regions informs national-level analysis, allowing for evaluating teaching practices and leading to data-informed policies and procedures. This interconnected system promotes the development of indigenous practices at school, regional, and national levels and ensures adequate documentation and sharing of successful strategies. Integrating AI with wearable technologies, tailored content delivery, virtual classrooms, and empowering educators provides a multifaceted solution. Collaborative efforts between technology companies, educational institutions, and governments are vital for overcoming existing challenges. This research illustrates AI’s potential in crafting an inclusive, personalised, and efficient learning environment for children with disabilities, particularly in emerging economies, which would be helpful for special needs school management, policymakers and governmental bodies.

Abstract

This research explores the development of data-driven management practices and policies to address the educational needs of children with disabilities within an evolving economic landscape. Around 1.3 billion people globally live with disabilities, with 80% in developing nations. The proposed model, targeting these marginalised groups, incorporates a data-driven approach segmented into three levels: school, regional, and national. In this work, initial non-intrusive data collection at the school level identifies students’ needs based on demographics and unique requirements. Regional bodies collect similar data from the participating schools to define policies tailored to the particular needs of the demography. Centralised data from various regions informs national-level analysis, allowing for evaluating teaching practices and leading to data-informed policies and procedures. This interconnected system promotes the development of indigenous practices at school, regional, and national levels and ensures adequate documentation and sharing of successful strategies. Integrating AI with wearable technologies, tailored content delivery, virtual classrooms, and empowering educators provides a multifaceted solution. Collaborative efforts between technology companies, educational institutions, and governments are vital for overcoming existing challenges. This research illustrates AI’s potential in crafting an inclusive, personalised, and efficient learning environment for children with disabilities, particularly in emerging economies, which would be helpful for special needs school management, policymakers and governmental bodies.

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
https://doi.org/10.1515/9783111172408-002

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
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