Daniel Plate, James Hutson

Gebundenes Buch

Beyond Code

Redefining Programming Education Beyond STEM

Beschreibung

AI-powered coding tools are revolutionizing software development, transforming programming from a specialized skill into an accessible educational practice across disciplines. This book investigates how tools such as Cursor AI, GitHub Copilot, and Replit's Ghostwriter are dismantling traditional barriers to entry for learners-particularly those from non-STEM backgrounds-by enabling natural language code generation, intelligent debugging, and interactive, project-based learning. Bridging the gap between theoretical instruction and practical application, the book serves as both a guide and a critical framework for integrating generative AI into curricula. It highlights how these tools expand the boundaries of programming education by supporting interdisciplinary applications, from literary analysis to creative writing, thereby making coding relevant and actionable for students in the humanities and beyond. The book equips educators with the tools and strategies necessary to incorporate AI-assisted programming into diverse academic contexts by offering lesson plans and adaptable project models. This resource is essential for instructors seeking to demystify coding, promote inclusivity in technical learning, and reimagine the role of software literacy in the twenty-first-century classroom.

Autor

Dr. Daniel Plate, a preeminent scholar in the field of educational technology, focuses his research and pedagogy on the integration of generative artificial intelligence in pedagogical methodologies. Educated with a Bachelor of Arts in English and Philosophy from Taylor University, a Master of Fine Arts in Creative Writing from the University of Arkansas, and a Ph.D. in Literature from Washington University in St. Louis, Plate presently serves as a faculty member at Lindenwood University. There, he instructs courses in creative writing, literature, and composition. Beyond his contributions to poetry, he has co-authored numerous case studies that explore the nuanced applications of AI in classroom settings. These scholarly works not only contribute to the existing body of literature but also offer practical insights for educators interested in leveraging generative AI to enrich the learning experience. Plate's scholarly endeavors straddle the intersection of technology and pedagogy; he divides his professional time between developing code to augment teaching methods and conducting empirical research to better understand the symbiotic relationship between AI and innovative pedagogy. A prolific author in the field of AI in education, his latest publication is Generative AI in the English Composition Classroom: Practical and Adaptable Strategies (2024). Dr. James Hutson specializes in multidisciplinary research that encompasses artificial intelligence, neurohumanities, neurodiversity, immersive realities, and the gamification of education. Earning a Bachelor of Arts in Art from the University of Tulsa, a Master of Arts in Art History from Southern Methodist University, and a Ph.D. in Art History from the University of Maryland, College Park, he later acquired additional Master's degrees in Leadership and Game Design from Lindenwood University and additional PhD in Artificial Intelligence at Capitol Technology University (2023). Over the span of his academic career since 2006, Hutson has held various pedagogical and administrative positions across five universities, including Chair of Art History, Assistant Dean of Graduate and Online Programs, and most recently, Lead XR Disruptor and Department Head of Art History, AI, and Visual Culture. Notably, his scholarly portfolio includes several books on the application of artificial intelligence in education and cultural heritage, such as Creative Convergence: The AI Renaissance in Art and Design (2024), as well as numerous articles and case studies.

Produktdetails

• Verlag: Taylor & Francis; Chapman And Hall/Crc
• Seitenzahl: 244
• Erscheinungstermin: 18. August 2025
• Englisch
• Abmessung: 240mm x 161mm x 18mm
• Gewicht: 477g
• ISBN-13: 9781041069003
• ISBN-10: 1041069006
• Artikelnr.: 73871138