AI-Driven Mathematics Education : From Digital Tools to Ethical Teaching Practices / edited by Manoj Sahni, Ernesto Leon Castro, Walayat Hussain.

Format:

Book

Author/Creator:

Sahni, Manoj.

Series:

Studies in Big Data, 2197-6511 ; 201

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Teaching.

Technology--Moral and ethical aspects.

Technology.

Computational Intelligence.

Artificial Intelligence.

Pedagogy.

Ethics of Technology.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Pedagogy.

Ethics of Technology.

Physical Description:

1 online resource (348 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book presents a comprehensive interdisciplinary compilation of creative strategies, actionable frameworks, and thoughtful insights on incorporating artificial intelligence (AI) into the field of mathematics education. The book covers a wide range of topics, namely, AI-supported teaching methods and digital literacy to ethical considerations, animation, and cultural stories—offering practical guidance on contemporary educational practices to educators, researchers, and policymakers. This book unites theory and practice by combining cutting-edge viewpoints on education, learning, and moral obligation in the AI age with empirical research. The book gives stakeholders forward-thinking strategies that not only improve learning outcomes but also encourage the responsible and inclusive deployment of AI in math classrooms, drawing on case studies from India and other parts of the world.

Contents:

1. Identification of Ragas and Their Analysis Using Deep Learning Techniques

2. Enhanced U-Net Architecture with Dual-Pathway Processing for Robust Cloud Segmentation in Multispectral Satellite Imagery: A Majuli Island Case Study

3. The Human Layer of Agentic AI Memory: What Self-Improving LLM Systems Actually Learn in Production

4. AI-Powered Adaptive Learning Platforms for Personalized Mathematics Instruction

5. Ethical Evaluation of AI-Powered Intelligent Tutoring Systems in Mathematics Education Using Hybrid ANN–ANFIS Frameworks

6. Brain Mapping and Cognitive Modelling in Mathematical Thinking Using Artificial Intelligence

7. The ordered weighted average: a new formulation for elaborating the corruption perception index

8. AI-Enabled Value Chain Activities and Their Impact on Student Engagement in Higher Education: A Empirical Study

9. From Patent Databases to Big Data: Using AI Driven Patent Analytics as a Pedagogical Innovation in Teaching Patent Law

10. Integrating Artificial Intelligence and Multi-Criteria Decision-Making for Innovation in Mathematics Education

11. Reimagining Student Success: An Agentic Framework for Early Detection and Adaptive Nudging in Higher Education

12. A Data-Driven Analysis of Music’s Impact on Student Focus and Study Behavior

13. Digital Twin-Based Mathematical Modeling of Learning Systems

14. Multimodal Data Structure Based on Dimensions of Mathematical Learning.

Notes:

Print version record.

Other Format:

Print version: Sahni, Manoj AI-Driven Mathematics Education

ISBN:

9783032312044

OCLC:

1610750133