-PDF Download- A Machine Learning Artificial Intelligence Approach To Institutional Effectiveness In Higher Education EBOOK

A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education

Author: John N. Moye Ph.D.

Publisher: Emerald Group Publishing

Published: 2019-07-29

Total Pages: 209

ISBN-13: 1789739012

This book presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method.

A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education

Author: John N. Moye

Publisher: Emerald Group Publishing

Published: 2019-07-29

Total Pages: 248

ISBN-13: 1789738997

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Artificial Intelligence in Higher Education

Author: Prathamesh Padmakar Churi

Publisher: CRC Press

Published: 2022-08-29

Total Pages: 274

ISBN-13: 1000593088

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The global adoption of technology in education is transforming the way we teach and learn. Artificial Intelligence is one of the disruptive techniques to customize the experience of different learning groups, teachers, and tutors. This book offers knowledge in intelligent teaching/learning systems, and advances in e-learning and assessment systems. The book highlights the broad field of artificial intelligence applications in education, regarding any type of artificial intelligence that is correlated with education. It discusses learning methodologies, intelligent tutoring systems, intelligent student guidance and assessments, intelligent education chatbots, and artificial tutors and presents the practicality and applicability implications of AI in education. The book offers new and current research along with case studies showing the latest techniques and educational activities. The book will find interest with academicians which includes teachers, students of various disciplines, higher education policymakers who believe in transforming the education industry, and research scholars who are pursuing their Ph.D. or Post Doc. in the field of Education Technology, Education, and Learning, etc. and those working in the area of Education Technology and Artificial Intelligence such industry professionals in education management and e-learning companies.

Revolutionizing Indian Education system

Author: Dr M Ganesh Babu , Dr N Panchanatham

Publisher: Archers & Elevators Publishing House

Published:

Total Pages:

ISBN-13: 8194624509

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Learning Differentiated Curriculum Design in Higher Education

Author: John N. Moye Ph.D.

Publisher: Emerald Group Publishing

Published: 2019-05-21

Total Pages: 217

ISBN-13: 1838671161

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This book presents a comprehensive, systematic approach to the development of curricula in higher education in which each component is configured to optimize learning. The approach is based in an analysis of the psychophysics of the learner and employs theories of learning, instruction, and environment to design each component.

AI Approaches to Literacy in Higher Education

Author: Eybers, Oscar Oliver

Publisher: IGI Global

Published: 2024-05-01

Total Pages: 311

ISBN-13:

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The ongoing struggle to increase literacy within our population is one of the defining goals of education. Educational environments continue to incorporate more and more technology into their cache of necessary tools as the lives of their students depend on these devices at a growing rate. Artificial intelligence (AI) and literacy education are bound to face a convergence that will be a transformative force. AI Approaches to Literacy in Higher Education delves into the synergies between advanced technology and the cultivation of literacy skills, illuminating innovative methodologies and applications that redefine educational paradigms. This book is a comprehensive analysis of AI's potential to elevate literacy among higher education students. The book strategically integrates research studies, case analyses, and theoretical perspectives to construct a nuanced understanding of AI's role in shaping literacy outcomes. This work uncovers the intricate interplay between technology and academic literacy by utilizing a tapestry of AI-driven tools, strategies, and techniques. Educators, researchers, instructional designers, and higher education professionals will find this book invaluable.

Artificial Intelligence in Higher Education and Scientific Research

Author: Fatima Roumate

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9789811986420

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This book explains the interaction between artificial intelligence and higher education. It explores artificial intelligence's tangible and intangible impact on higher education and scientific research and discusses how higher education and scientific research enhance the progress of artificial intelligence technologies. Based on systematic analysis with a multidisciplinary approach and a combination of theory and practice, the book brings original perspectives from the massive use of artificial intelligence in higher education and scientific research since the appearance of COVID-19. This book also discusses ethics in artificial intelligence, taking into consideration the recommendation on ethics of artificial intelligence adopted by UNESCO. This book explains the importance of technological sovereignty and new strategies to face current and future challenges related to e-learning, deep learning, and machine learning.

The Psychophysics of Learning

Author: John N. Moye Ph.D.

Publisher: Emerald Group Publishing

Published: 2021-06-22

Total Pages: 154

ISBN-13: 1801171157

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The Psychophysics of Learning presents a learning system design approach that is formulated by the strategies and techniques the brain uses to process external information and make sense of that information to the learning ecology of all learners.

Using Generative AI Effectively in Higher Education

Author: Sue Beckingham

Publisher: Taylor & Francis

Published: 2024-06-14

Total Pages: 155

ISBN-13: 1040108237

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Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably. This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy. This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.

Utilizing AI for Assessment, Grading, and Feedback in Higher Education

Author: Al Harrasi, Nasser Hamed

Publisher: IGI Global

Published: 2024-05-06

Total Pages: 395

ISBN-13:

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As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively. With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education.