In this AI era, data science emerges as a transformative tool in education. By using data sets, educators and administrators can make informed decisions that personalize learning and improve resource allocation. As AI technologies become more integrated into educational systems, data science serves as a critical bridge between raw information and actionable strategies, enabling a more adaptive, equitable, and evidence-based approach to teaching and learning. Transforming Education With Data Science in the AI Era explores the intersection of AI and data science in reshaping education. This book offers solutions to key challenges, such as ethical dilemmas, data privacy concerns, and digital inequity, to create a sustainable AI-driven education model. Covering topics such as AI, data science, and education, this book is an excellent resource for academicians, educators, educational leaders, and technology developers.
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Sharad Gupta is a seasoned professional with over 20 years of experience in both industry and academia, having worked nationally and internationally. He holds an MBA, dual MCom, an MA in Education, and a diploma from Harvard Business School, underscoring his strong academic background and business acumen. Mr. Gupta has contributed significantly across various industries including media, software development, finance, and education. His keen interest in innovation and entrepreneurial activities has led to numerous successful ventures and initiatives. An accomplished author, Mr. Gupta has co-authored several notable books such as "Innovative Pedagogy: A Beginner's Guide to Modern Teaching Strategies" with Dr. Manjari Sharma, and "WealthWise: Lessons from India's Warren Buffett." His work reflects a blend of practical experience and scholarly insight. Mr. Gupta is also a co-inventor of a patented 'IoT Based Fertilizer Spraying Drone, ' demonstrating his commitment to leveraging technology for practical solutions. His extensive experience and innovative approach make him a distinguished figure in both business and education.
Manjari Sharma is an Associate Professor at CHRIST University, Pune Lavasa Campus, India, with over 15 years of extensive academic experience across multiple universities in Asia, including the Maldives, Malaysia, Sri Lanka, Myanmar, and Dubai. She specializes in Finance, Managerial Economics, Financial Management, Securities Analysis, Portfolio Management, and Operations Management. Dr. Sharma is recognized for her innovative pedagogical methods, focusing on experiential learning, case-based teaching, and technology-driven education. She actively integrates real-world business applications into her courses, ensuring students develop practical skills alongside theoretical knowledge. Her dedication to enhancing learning experiences has led her to design industry-oriented programs and collaborative research projects that bridge the gap between academia and professional practice. An accomplished researcher and author, Dr. Sharma has published extensively in the areas of behavioral finance, AI in education, financial analytics, and innovative teaching methodologies. She has co-authored several books, including "Innovative Pedagogy: A Beginner's Guide to Modern Teaching Strategies", and her research has contributed to advancing financial literacy, digital transformation in education, and investment behavior analysis. Beyond teaching and research, Dr. Sharma is actively involved in global academic collaborations, serving as a key coordinator for international immersion programs. She has led initiatives such as the Global Immersion Program in Texas, USA, and the Indian Cultural Immersion Program in Ladakh, fostering cross-cultural learning experiences. Additionally, she has been instrumental in establishing academic partnerships with universities in the USA, New Zealand, and other international institutions, enhancing opportunities for student and faculty exchanges. A strong advocate for capacity-building programs, she has organized international conferences and faculty development workshops, focusing on emerging trends in finance, business analytics, and higher education pedagogy. She is also involved in research projects on the National Education Policy (NEP) 2020, sustainable business practices, and the role of AI in financial decision-making. Dr. Manjari Sharma's passion for mentoring students and young researchers is evident in her collaborative approach to academic leadership. She continuously works towards bridging the gap between academia and industry, ensuring that her students are equipped with critical thinking, financial acumen, and strategic decision-making skills for global careers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. In this AI era, data science emerges as a transformative tool in education. By using data sets, educators and administrators can make informed decisions that personalize learning and improve resource allocation. As AI technologies become more integrated into educational systems, data science serves as a critical bridge between raw information and actionable strategies, enabling a more adaptive, equitable, and evidence-based approach to teaching and learning. Transforming Education With Data Science in the AI Era explores the intersection of AI and data science in reshaping education. This book offers solutions to key challenges, such as ethical dilemmas, data privacy concerns, and digital inequity, to create a sustainable AI-driven education model. Covering topics such as AI, data science, and education, this book is an excellent resource for academicians, educators, educational leaders, and technology developers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337321851
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Hardcover. Etat : new. Hardcover. In this AI era, data science emerges as a transformative tool in education. By using data sets, educators and administrators can make informed decisions that personalize learning and improve resource allocation. As AI technologies become more integrated into educational systems, data science serves as a critical bridge between raw information and actionable strategies, enabling a more adaptive, equitable, and evidence-based approach to teaching and learning. Transforming Education With Data Science in the AI Era explores the intersection of AI and data science in reshaping education. This book offers solutions to key challenges, such as ethical dilemmas, data privacy concerns, and digital inequity, to create a sustainable AI-driven education model. Covering topics such as AI, data science, and education, this book is an excellent resource for academicians, educators, educational leaders, and technology developers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337321851
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Hardcover. Etat : new. Hardcover. In this AI era, data science emerges as a transformative tool in education. By using data sets, educators and administrators can make informed decisions that personalize learning and improve resource allocation. As AI technologies become more integrated into educational systems, data science serves as a critical bridge between raw information and actionable strategies, enabling a more adaptive, equitable, and evidence-based approach to teaching and learning. Transforming Education With Data Science in the AI Era explores the intersection of AI and data science in reshaping education. This book offers solutions to key challenges, such as ethical dilemmas, data privacy concerns, and digital inequity, to create a sustainable AI-driven education model. Covering topics such as AI, data science, and education, this book is an excellent resource for academicians, educators, educational leaders, and technology developers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337321851
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