Innovative Learning Environments in STEM Higher Education

Innovative Learning Environments in STEM Higher Education
Author: Jungwoo Ryoo
Publisher: Springer Nature
Total Pages: 148
Release: 2021-03-11
Genre: Social Science
ISBN: 303058948X
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As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.

Recommender Systems Handbook

Recommender Systems Handbook
Author: Francesco Ricci
Publisher: Springer
Total Pages: 1008
Release: 2015-11-17
Genre: Computers
ISBN: 148997637X
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This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.

AI-Enhanced Teaching Methods

AI-Enhanced Teaching Methods
Author: Ahmed, Zeinab E.
Publisher: IGI Global
Total Pages: 426
Release: 2024-04-22
Genre: Education
ISBN:
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The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.

Digital Personality: A Man Forever

Digital Personality: A Man Forever
Author: Kuldeep Singh Kaswan
Publisher: CRC Press
Total Pages: 568
Release: 2024-06-21
Genre: Computers
ISBN: 1040052096
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This book delves into the very core of our digital existence, unearthing the essence of a digital persona. It's a realm where authenticity meets multiplicity, as we decipher the nuanced art of crafting and managing our online identities. We confront issues of privacy and ethics, exploring the profound impact of our digital footprints on our lives and society. The integration of AI paves the way for an intriguing future, with predictions that challenge our understanding of self in the digital age. Welcome to a world where your digital personality is more than just data; it's a reflection of who you are and who you can be. The main goal of this book is to enable more seamless and natural human–computer interaction. This will provide better personalized experience. Further, this will influence the performance of the user, wherein they will have the support of the machines to achieve their tasks in the most efficient way. This book is the first of a kind in introducing Digital Personality. It provides an overview of the character dimensions and how state-of-the-art technologies would accommodate such a research field. It includes novel representation of character from various perspectives. It also provides instances of applications of this emerging research field.

Using Traditional Design Methods to Enhance AI-Driven Decision Making

Using Traditional Design Methods to Enhance AI-Driven Decision Making
Author: Nguyen, Tien V. T.
Publisher: IGI Global
Total Pages: 528
Release: 2024-01-10
Genre: Computers
ISBN:
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In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.

Machine Learning Approaches for Improvising Modern Learning Systems

Machine Learning Approaches for Improvising Modern Learning Systems
Author: Gulzar, Zameer
Publisher: IGI Global
Total Pages: 336
Release: 2021-05-14
Genre: Education
ISBN: 1799850102
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Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.

ICAMDMS 2024

ICAMDMS 2024
Author: Rangasamy Rudramoorthy
Publisher: European Alliance for Innovation
Total Pages: 538
Release: 2024-06-17
Genre: Technology & Engineering
ISBN: 1631904728
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We, the Department of Production Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India, are delighted to introduce the proceedings of the International Conference on the Advancements in Materials, Design, and Manufacturing for Sustainable Development ICAMDMS 2024. The conference proceedings encapsulate the knowledge of diverse insights and cutting-edge research shared by the participants of the conference in significant domains such as materials, design, manufacturing, industrial and production engineering converging on the theme of sustainable development. The technical program of ICAMDMS 2024 consists of 46 full papers, including nine oral presentation sessions at the main conference themes. The conference themes are: Track 1 – Advanced Materials; Track 2 - Design; Track 3 - Manufacturing; and Track 4 – Industrial and Production Engineering. Aside from the high-quality technical paper presentations, the technical program also featured eight keynote lectures. The eight keynote speakers are (1) Dr. Redouane Zitoune from Paul Sabatier University, Toulose-III, France, (2) Dr. Jinyang Xu from Shanghai Jiao Tong University, China, (3) Dr. Juan Pablo from Escobedo-Daiz UNSW, Canberra, Australia, (4) Dr. Santhakumar Mohan from IIT Palakkad, (5) Dr. Afzaal Ahmed from IIT Palakkad, (6) Dr. Ravi K R from IIT Jodhpur, (7) Mr. Vijay V from Lakshmi Machine Works – Advanced Technology Center, Coimbatore and (8) Ms. Thangamalar from Research and Development, Tractors and Farm Equipment (TAFE), Chennai. The Conference was enlightened with an industrial talk by Dr. S. Chandrasekar, Corporate Director, Roots Group of Companies, Coimbatore. ICAMDMS 2024 was sponsored by Propel Industries Pvt. Ltd., Coimbatore, PSG Centre for Academic Research and Excellence, Coimbatore, Janatics India Pvt. Ltd., Coimbatore, Baarga Die Castings, Coimbatore, Crossfields Water Purifiers Pvt. Ltd., Coimbatore, TESA Technology, Coimbatore, Guruvayurappan Textile Pvt. Ltd., Udumalpet, Sakthi Gear Products, Coimbatore and 2017-21 and 2018-22 alumni of the Department of Production Engineering. In this compendium, one can find a wealth of knowledge covering advanced materials, innovative designs, and sustainable manufacturing practices. We extend our gratitude to the Management & Principal - PSGCT, Head of the Department – Production Engineering, ICAMDMS 2024 advisory committee, conference committee, sponsors, participants, faculty members, staff, and students who have contributed to the ICAMDMS 2024 and made it a platform for meaningful discourse. As we delve into this intellectual journey, we anticipate that this proceeding will be a valuable resource for researchers, academicians, and professionals worldwide, fostering collaboration and inspiring future endeavors toward achieving a sustainable environment. Dr R Rudramoorthy, Dr. M. Senthilkumar, Dr. M. R. Pratheesh Kumar, Dr. J. Pradeep Kumar Dr. R. Rajamani and Dr.J.Baskaran