Academic Identity In The Age Of Ai
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Academic Identity in the Age of AI
Author: Richard Nelson
language: en
Publisher: Emerald Group Publishing
Release Date: 2024-12-09
Featuring compelling case studies illustrating how universities are harnessing the power of AI to innovate in teaching, learning, and research, Academic Identity in the Age of AI offers valuable insights for educators, institution leaders, and policymakers seeking to navigate the ever-changing terrain of AI in education.
The Rise of AI in Academic Inquiry
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.
AI-Powered Pedagogy and Curriculum Design
AI-Powered Pedagogy and Curriculum Design offers practical insights and guidance on the effective integration of AI tools into teaching practices and curriculum design. While numerous claims exist as to the validity and authenticity of the applications of AI in schools, too little attention has been paid to empirical research conducted with and by teachers in real-world classrooms. This book synthesises diverse viewpoints from teacher educators across disciplines and levels toward a comprehensive, context-specific understanding of the challenges and best practices for responsibly leveraging Generative AI to enhance outcomes in classrooms. Contributors further shed light on how Generative AI can align with standards, assessment practices, and teacher training programs in different settings. Firsthand classroom experiences and experimental approaches of educators in the United Kingdom and Europe will provide current and aspiring teachers with insights into the intersection between AI and teacher empowerment, student participation, ethical implications, and socially just approaches.