The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists.
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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. Most recently, he co-authored Cinematic Algorithms: The Rise of Generative AI in Video Art and Visual Culture (CRC/ Routledge, 2025), which included digital marketers and their use of AI.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 322 | Sprache: Englisch | Produktart: Bücher | The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists. Seller Inventory # 43140434/1
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists. Seller Inventory # 9798369369067