MODERN CONCEPTS OF CREATING NEW GENERATION TEXTBOOKS
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Abstract
The advent of generative artificial intelligence (GenAI) and advanced educational technologies has revolutionized the design and implementation of textbooks, ushering in an era of new generation textbooks that prioritize personalization, interactivity, and adaptability. This paper delves into the modern concepts guiding the creation of these textbooks, drawing on principles from knowledge engineering, multimodal learning, and AI-driven content generation to address the limitations of traditional educational resources. Through a comprehensive systematic review of literature spanning from 2010 to 2026, including empirical studies and case analyses, we examine methodologies such as AI personalization pipelines, concept mapping, and digital integration tools. Key findings reveal that GenAI-enhanced textbooks can improve student engagement by up to 25%, retention rates by 15-20%, and overall learning outcomes through tailored content and interactive elements. However, challenges like ethical considerations, accessibility barriers, and the need for pedagogical alignment persist. The discussion integrates insights from diverse stakeholders, including educators, developers, and policymakers, to propose a framework for sustainable textbook innovation. Ultimately, this work advocates for a hybrid approach that combines human expertise with AI capabilities to foster inclusive, equitable education in the digital age, with implications for K-12, higher education, and lifelong learning.
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