Smart Learning Data

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Smart Learning Data

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Author : Ravi Nakamoto
language : en
Publisher: Publifye AS
Release Date : 2025-02-13

Smart Learning Data written by Ravi Nakamoto and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.

""Smart Learning Data"" explores how data-driven learning analytics can unlock optimal learning and career advancement. It examines the measurable impacts of learning strategies and educational interventions on cognitive growth and professional success, aiming to bridge the gap between learning science and real-world outcomes. The book leverages longitudinal studies and statistical analysis, offering actionable insights for students, educators, and professionals. One intriguing aspect is the predictive power of learning analytics in identifying effective study habits. Another is the correlation between cognitive skills developed through education and subsequent career trajectories. The book takes a comprehensive approach, starting with a historical overview of educational assessment and its evolution into the age of big data. It transitions from traditional standardized testing to more nuanced methods of tracking learning progress and cognitive development. It presents foundational concepts in statistics and data analysis in an accessible manner. The book progresses through core principles, correlations between learning behaviors and cognitive improvements, analysis of career paths, machine learning techniques to predict learning outcomes, and finally synthesizes the evidence for recommendations.

Smart Learning Environments

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Author : Maiga Chang
language : en
Publisher: Springer
Release Date : 2014-09-05

Smart Learning Environments written by Maiga Chang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-05 with Education categories.

This book addresses main issues concerned with the future learning, learning and academic analytics, virtual world and smart user interface, and mobile learning. This book gathers the newest research results of smart learning environments from the aspects of learning, pedagogies, and technologies in learning. It examines the advances in technology development and changes in the field of education that has been affecting and reshaping the learning environment. Then, it proposes that under the changed technological situations, smart learning systems, no matter what platforms (i.e., personal computers, smart phones, and tablets) they are running at, should be aware of the preferences and needs that their users (i.e., the learners and teachers) have, be capable of providing their users with the most appropriate services, helps to enhance the users' learning experiences, and to make the learning efficient.

Applied Machine Learning For Smart Data Analysis

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Author : Nilanjan Dey
language : en
Publisher: CRC Press
Release Date : 2019-05-20

Applied Machine Learning For Smart Data Analysis written by Nilanjan Dey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Computers categories.

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications

Emerging Issues In Smart Learning

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Author : Guang Chen
language : en
Publisher: Springer
Release Date : 2014-09-10

Emerging Issues In Smart Learning written by Guang Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-10 with Social Science categories.

This book provides an archival forum for researchers, academics, practitioners and industry professionals interested and/or engaged in the reform of the ways of teaching and learning through advancing current learning environments towards smart learning environments. The contributions of this book are submitted to the International Conference on Smart Learning Environments (ICSLE 2014). The focus of this proceeding is on the interplay of pedagogy, technology and their fusion towards the advancement of smart learning environments. Various components of this interplay include but are not limited to: Pedagogy- learning paradigms, assessment paradigms, social factors, policy; Technology- emerging technologies, innovative uses of mature technologies, adoption, usability, standards and emerging/new technological paradigms (open educational resources, cloud computing, etc.)

Smart Education And E Learning 2020

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Author : Vladimir L. Uskov
language : en
Publisher: Springer Nature
Release Date : 2020-06-07

Smart Education And E Learning 2020 written by Vladimir L. Uskov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-07 with Technology & Engineering categories.

This book contains the contributions presented at the 7th international KES conference on Smart Education and e-Learning (KES SEEL-2020), which being held as a virtual conference on June 17-19, 2020. It contains fifty three high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart Pedagogy, Part 4 - Smart Education: Systems and Technology, Part 5 – Smart Education: Case Studies and Research, Part 6 - Smart University Development: Organizational and Managerial Issues, Part 7 - Smart Education and Smart Universities and their Impact on Students with Disabilities, Part 8 - Mathematical Models in Smart Education and e-Learning, and Part 9 - Models of Professional Practice in Higher Education. Smart education and smart e-learning are emerging and rapidly growing areas with the potential to transform existing teaching strategies, learning environments, and educational activities and technology in the classroom. Smart education and smart e-learning focus on enabling instructors to develop new ways of achieving excellence in teaching in highly technological smart classrooms, and providing students with new opportunities to maximize their success and select the best options for their education, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education and smart e-learning.

Resilience And Future Of Smart Learning

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Author : Junfeng Yang
language : en
Publisher: Springer Nature
Release Date : 2022-08-11

Resilience And Future Of Smart Learning written by Junfeng Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-11 with Education categories.

This book provides an archival forum for researchers, academics, practitioners, and industry professionals interested and/or engaged in the reform of the ways of teaching and learning through advancing current learning environments towards smart learning environments. It facilitates opportunities for discussions and constructive dialogue among various stakeholders on the limitations of existing learning environments, need for reform, innovative uses of emerging pedagogical approaches and technologies, and sharing and promotion of best practices, leading to the evolution, design and implementation of smart learning environments. This book also focus on the interplay of pedagogy, technology and their fusion towards the advancement of smart learning environments.

Smart Learning In Smart Cities

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Author : Dejian Liu
language : en
Publisher: Springer
Release Date : 2017-04-13

Smart Learning In Smart Cities written by Dejian Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-13 with Science categories.

This book introduces readers to the current status of smart learning in China by providing extensive and accurate data from different contexts of smart learning. In particular, it investigates smart learning in smart cities, which extends the concept of smart learning to cover both formal and informal learning, and to support life-long learning. With digital technologies and the Internet becoming increasingly integrated into learning, the demand for smart learning has grown steadily, especially in smart city scenarios. As the need for life-long learning is on the rise, smart learning environments in cities should be equipped to meet people’s demands. Smart learning/education is also one of the key applications of smart cities. Though the book’s content mainly focuses on the educational technology field, research in cities and industries is also included. This book offers a valuable resource for graduate students in educational technology, smart learning environment and smart city researchers, cooperative university managers, and all others who are interested in smart learning industries.

Data Smart

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Author : John W. Foreman
language : en
Publisher: John Wiley & Sons
Release Date : 2013-11-12

Data Smart written by John W. Foreman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-12 with Computers categories.

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

Ludic Co Design And Tools Supporting Smart Learning Ecosystems And Smart Education

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Author : Óscar Mealha
language : en
Publisher: Springer Nature
Release Date : 2020-09-09

Ludic Co Design And Tools Supporting Smart Learning Ecosystems And Smart Education written by Óscar Mealha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Technology & Engineering categories.

This book presents papers from the 5th International Conference on Smart Learning Ecosystems and Regional Development, which promotes discussions on R&D work, policies, case studies, entrepreneur experiences, with a particular focus on understanding the relevance of smart learning ecosystems for regional development and social innovation, and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. The book explores how technology-mediated instruments can foster citizens’ engagement with learning ecosystems and territories, providing insights into innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, and technology-mediated experiences and their impact. As such, it will inspire the social innovation sectors and ICT, as well as economic development and deployment strategies and new policies for smarter proactive citizens.

New Paradigm In Digital Classroom And Smart Learning

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Author : Maria Virvou
language : en
Publisher: Springer Nature
Release Date : 2025-07-05

New Paradigm In Digital Classroom And Smart Learning written by Maria Virvou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-05 with Computers categories.

“New Paradigm in Digital Classroom & Smart Learning” explores the transformative shifts shaping the future of education in the digital age. This volume provides a cutting-edge advancement in educational technology, fostering innovation in teaching and learning practices. It emphasizes the ethical and social implications of digital tools, promoting responsible and inclusive approaches to virtual learning communities. This volume also explores the most recent innovations and significant developments in the domain of Digital Classroom & Smart Learning, offering a thorough overview of the current landscape. It encompasses various dimensions including: Educational Technology Integration and Innovation Ethical and Social Implications of Educational Technology Inclusive and Equitable Practices in Virtual Learning Communities Responsible Technology in Digital Assessment and Feedback By merging theoretical knowledge with practical applications, this book empowers educators, researchers, practitioners, and students to navigate and excel in the evolving landscapes of Digital Classroom & Smart Learning with a focus on responsible technology for assessment and feedback, the book highlights personalized, equitable, and efficient solutions for modern educational challenges. Serving as a comprehensive guide, it empowers educators, researchers, and students to navigate and survive in the rapidly evolving digital learning ecosystem.