Transforming Education through Generative Artificial Intelligence (GenAI) - Innovations, Challenges, and Opportunities

Oct 15, 2026

Edited volume examining how generative artificial intelligence can transform education, with attention to innovation, practical adoption, and ethical implications. Presents a literature review on student motivation, analyzing how GenAI may harm or enhance motivation and highlighting ethical concerns that must be addressed. Includes research on integrating generative AI with adaptive learning systems to improve scalable, quality education, covering objectives, methodology, experimental design, instruments, statistical analysis, and discussion of results.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages235

Reading Time9 h 52 min

AccessFree to download

Chapter 1-Student Motivation and Generative Artificial Intelligence: A Literature Review

Chapter Highlights

Introduction

Student Motivation Theories and GenAI

GenAI Harms Student Motivation

GenAI Enhances Student Motivation

GenAI May Go Either Way, But Has Major Ethical Concerns We Would Have to Overcome

Conclusion

References

Chapter 2-Harnessing Generative AI and Adaptive Learning Systems for Scalable Quality Education

Chapter Highlights

Introduction

Research Objectives and Scope

Research Contribution

Literature Review

Methodology

Research Design

Development of AI-Generated Learning Materials

ALS Development

Pre-intervention Empirical Study

Sample Selection and Data collection Procedure

Instruments and Measures

Statistical Analysis

Pilot Study Design and Implementation

Post-intervention Empirical Study

Instruments and Measures

Results

Pre-intervention Results

Pilot Study Results

Post-intervention Results

Discussion

Pre-intervention Results

Transforming Education through Generative Artificial Intelligence (GenAI)– Innovations, Challenges, and Opportunities Editors Ismail Sahin, Ph.D.-Iowa State University, United States Omid Noroozi, Wageningen University and Research, Netherlands ISBN: 978-1-952092-88-6 © 2025, ISTES The “Transforming Education through Generative Artificial Intelligence (GenAI) – Innovations, Challenges, and Opportunities ” is licensed under a Creative Commons Attribution-NonCommercialShareAlike 4.0 International License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Authors alone are responsible for the contents of their papers. The Publisher, the ISTES, shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material. All authors are requested to disclose any actual or potential conflict of interest including any financial, personal or other relationships with other people or organizations regarding the submitted work. Date of Publication December 2025 Publisher ISTES Monument, CO, USA Contact International Society for Technology, Education and Science (ISTES) [www.istes.org](www.istes.org) [istesoffice@gmail.com](istesoffice@gmail.com) Citation Sahin, I. & Noroozi, O. (Eds.) . (2025) . Transforming Education through Generative Artificial Intelligence (GenAI)–Innovations, Challenges, and Opportunities. ISTES. Table of Contents Chapter 1-Student Motivation and Generative Artificial Intelligence: A Literature Review............................................................................................................................................... 1 Chapter Highlights ................................................................................................................. 1 Introduction ............................................................................................................................ 2 Student Motivation Theories and GenAI ............................................................................... 3 GenAI Harms Student Motivation ......................................................................................... 6 GenAI Enhances Student Motivation .................................................................................... 7 GenAI May Go Either Way, But Has Major Ethical Concerns We Would Have to Overcome................................................................................................................................................ 9 Conclusion ........................................................................................................................... 10 References ............................................................................................................................ 11 Chapter 2-Harnessing Generative AI and Adaptive Learning Systems for Scalable Quality Education ............................................................................................................................ 17 Chapter Highlights ............................................................................................................... 17 Introduction .......................................................................................................................... 18 Research Objectives and Scope ...................................................................................... 20 Research Contribution ..................................................................................................... 22 Literature Review................................................................................................................. 23 Methodology ............................................................................................

FAQs

How does the book evaluate GenAI’s impact on student motivation?

Chapter 1 reviews theories of student motivation and discusses how GenAI can harm motivation and how it can enhance motivation. It also highlights that outcomes may go either way alongside major ethical concerns that must be addressed.

What research focus does the second chapter cover?

Chapter 2 focuses on harnessing generative AI together with adaptive learning systems to enable scalable quality education. It lays out research objectives, scope, methodology, and the empirical pre-, pilot-, and post-intervention design.

What elements of research methodology are included in Chapter 2?

The chapter includes research design, development of AI-generated learning materials, adaptive learning system (ALS) development, sample selection and data collection procedure, instruments and measures, statistical analysis, and both pre- and post-intervention empirical study results.

Oct 15, 2026

Uploaded by Maya Linwood