Adaptive learning systems are transforming education by personalizing learning pathways to meet the unique needs of each student. As classrooms become increasingly diverse and technology-driven, educators are exploring how artificial intelligence can support more individualized and inclusive learning experiences. In STEM and language education, these AI-powered tools provide tailored instruction, real-time feedback, and data-driven insights, supporting skills from mathematics and science to reading, writing, speaking, and listening across multiple languages. They are especially valuable for learners with diverse needs, including students requiring additional support or specialized learning approaches, such as those with impairments, as adaptive platforms can adjust content, pacing, and feedback to better support individual learning profiles and improve accessibility. Adaptive Learning Systems and Their Impact on STEM Achievement explores how adaptive learning connects with broader AI applications in education, demonstrating how technology can make learning more effective, inclusive, and meaningful for all students. Through practical examples and real-world case studies, the book highlights ways educators and school leaders can integrate adaptive technologies into everyday teaching and learning while using AI thoughtfully and responsibly. Covering topics such as AI-based teaching models, equitable STEM classrooms, and collaborative intelligence, this book is an excellent academic resource for graduate and doctoral students, educators, school leaders, university faculty, and more.
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Suha Khalil Assayed holds a Ph.D. in Computer Science with a specialization in Artificial Intelligence and Deep Learning from the British University in Dubai. Her doctoral research, titled “Deep Learning Speech-Text Chatbot for High School Advising,” focused on developing intelligent, high-quality conversational agents that enhance educational guidance, accessibility, and user experience. Dr. Assayed has a distinguished academic and research record, with over 30 high-impact publications in reputable journals and international conferences. Her work primarily explores generative AI, conversational agents, and chatbots across multiple domains, including education, healthcare, and virtual assistance, emphasizing quality, innovation, and real-world applicability. She currently serves as a Postdoctoral Researcher at the National Kaohsiung University of Science and Technology (NKUST), She leads projects focused on applying natural language processing (NLP) in healthcare, particularly for disease prediction, as well as initiatives involving AI-driven virtual health assistants and deep learning solutions for environmental and health-related challenges. Beyond her research, Dr. Assayed contributes to the global AI community as a reviewer for top-tier journals, an editor of several academic books, and a member of the Technical Program Committee (TPC) for multiple IEEE conferences. Dr. Assayed also holds a Master’s in Information Systems from the New York Institute of Technology (NYIT), a Postgraduate degree in Institutional Research and Effectiveness from Humboldt State University – California State University, and a Bachelor’s in Computer Science from Yarmouk University.
Ola Khalili holds an Ed.D. from the University of Massachusetts Amherst, USA. She is an Assistant Professor and Head of the Department of Curriculum and Teaching in the Faculty of Education at Birzeit University, Palestine. Dr. Khalili has several years of professional experience in the Palestinian education sector. She has worked extensively on the development of assessment and evaluation systems within the Palestinian Ministry of Education, as well as on curriculum development. Her research interests focus on teacher development and change, particularly teachers’ beliefs about teaching and learning and how these beliefs influence their instructional practices. Her work seeks to better understand the relationship between teachers’ beliefs, professional growth, and classroom practice, with the broader aim of contributing to the improvement of teaching and learning in educational contexts.
Sana K. Álsayed is an Assistant Professor of Psychological Counseling at Philadelphia University in Jordan, where she is currently playing another role as the Library Director and Information Resources Manager. Holding a doctorate in Psychology. Her research focuses on the intersection of artificial intelligence, technology, and human psychology. Dr. Alsayed has authored and co-authored numerous scholarly publications and book chapters exploring the psychological impacts of generative AI chatbots on student well-being and mental health.
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