Artificial Intelligence + Education: Theory and Practice in Application Development
Artificial Intelligence + Education: Theory and Practice in Application Development
https://www.eurekalert.org/news-releases/1128284
Publish Date: 2026-05-14 14:23:00
Source Domain: www.eurekalert.org
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Integration of Theory and Practice: Artificial Intelligence + Education: Theory and Practice in Application Development combines cutting-edge theory with practical value for educators to effectively address digital and intelligent transformations in education.
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Shannon’s Communication Theory: The book uses Shannon’s Communication Theory to analyze emerging interaction models, such as “encoding” and “decoding,” in the age of human–AI symbiosis.
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Educational Software Applications: It provides detailed analyses of typical software applications in education, including learner modeling, adaptive learning path recommendation, and affective computing.
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Low-code and No-code Approaches: The book explores low-code and no-code methods, using tools like App Inventor and Orange, to enable non-specialists to build intelligent educational applications.
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Critical Views on Tech Risks: The book critically examines ethical dilemmas, including data privacy breaches, algorithmic bias, and the neglect of humanistic values in the implementation of technology.
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Shift in Educational Focus: Dr. Feng Xiang argues for a shift in educational emphasis toward cultivating “meta-knowledge, meta-thinking, and meta-awareness” in response to the cognitive impact of generative AI.
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Author’s Qualifications: Dr. Feng Xiang holds a Ph.D. and postdoctoral research in computer applications and has extensive experience and publications in educational informatization, AI applications in education, and educational digitalization.
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Research and Professional Engagement: He has led and participated in numerous national and provincial projects related to AI in education and holds significant roles in professional committees and standardization processes.
