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Cited by 11Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

Future of Education Using Adaptive AI, Intelligent Systems, and Ethical Challenges

Yambal, Sucheta, Waykar, Yashwant Arjunrao·2025·Advances in Educational Technologies and Instructional Design
DOI 10.4018/979-8-3693-6527-4.ch006
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Abstract

AI-driven adaptive learning, intelligent systems, and ethical issues will transform education. AI adaptive learning systems adjust content, pace, and feedback based on student performance and learning preferences. These technologies provide highly tailored education, student engagement, and scalable learning solutions across multiple contexts. Virtual tutors and automated grading systems are projected to minimize administrative workloads for teachers, allowing them to focus on creative instruction. Data privacy, algorithmic discrimination, and the possible loss of human engagement in learning are ethical concerns with AI in education. As AI becomes more prevalent in education, equitable access, data security, and openness in algorithmic decision-making are needed. Using AI to overcome these challenges may lead to a more efficient, inclusive, and ethical education system.

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Crossref · 10.4018/979-8-3693-6527-4.ch006

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17 of 17 references verified0 citation errors · 0 not checkable

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Authors
Yambal, S., & Waykar, Y. A.
Affiliations
Dr. Babasaheb Ambedkar Marathwada University (IN)
ORCID
Venue
Advances in Educational Technologies and Instructional Design
Publisher
IGI Global Scientific Publishing
Published
2025-02-06
Pages
171-202
ISSN
  • 2326-8905 (ISSN-L)
  • 2326-8913
DOI
10.4018/979-8-3693-6527-4.ch006
OpenAlex
W4407217552
Cited by
11
References
17
Citations by year
2026: 4 · 2025: 7
FWCI
22.13
Type
book chapter
Language
en
Open access
closed
Locations
Advances in educational technologies and instructional design book series (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
adaptive learning, artificial intelligence in education, intelligent systems, virtual tutors, automated grading, data privacy, algorithmic discrimination, ethical challenges of AI, equitable access to education, algorithmic transparency, teacher workload, personalized learning

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