Overview
Advances in natural language processing, conversational AI, and machine learning are transforming how people learn, communicate, and access knowledge. These technologies enable personalized, adaptive, and interactive educational experiences, enhancing engagement and improving learning outcomes for diverse audiences. From language acquisition to professional training, AI-powered tools such as chatbots and tutoring systems can provide scalable, on-demand support that traditional methods cannot match. By integrating these innovations into education, society can foster more inclusive, efficient, and future-ready learning environments. Educational Applications of Natural Language Processing, Chatbots, and AI explores the integration of natural language processing, conversational AI, and machine learning into educational contexts, highlighting their potential to transform teaching, learning, and assessment. It examines applications ranging from chatbots and tutoring systems to personalized learning and simulations, offering insights into how these technologies can enhance engagement, accessibility, and learner success. Covering topics such as andragogy, deep learning, and personalized learning, this book is an excellent resource for educators, researchers, academicians, administrators, instructional designers, and more.
Full Product Details
Author: Suha Khalil Assayed
Publisher: IGI Global
Imprint: Information Science Reference
ISBN: 9798337367927
Pages: 398
Publication Date: 16 September 2025
Audience:
College/higher education
,
Professional and scholarly
,
Tertiary & Higher Education
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
Author Information
Dr. Suha Khalil Assayed holds a Ph.D. in Computer Science from The British University in Dubai, UAE, specializing in Artificial Intelligence and Deep Learning. With over two decades of experience in the higher education sector, she has developed deep expertise in machine learning, natural language processing (NLP), and neural network architectures, focusing on innovative AI applications that enhance educational outcomes. Dr. Assayed’s research bridges theory and practice, emphasizing the design and deployment of AI- driven tools, including generative AI models, for personalized student advising and support. Her scholarly contributions encompass pioneering work on AI integration in education, intelligent chatbots, and adaptive learning systems, with publications in leading journals and conferences. Passionate about advancing smart education, she explores how emerging technologies can create more inclusive and effective learning environments.
