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Informed Learning Applications

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Informed Learning Applications

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Author : Kim L. Ranger
language : en
Publisher: Emerald Group Publishing
Release Date : 2019-08-26

Informed Learning Applications written by Kim L. Ranger and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-26 with Language Arts & Disciplines categories.

Informed Learning Applications is the latest volume of rigorous research in the Advances in Librarianship series. Edited by experienced librarian Kim L. Ranger, the eight contributions to this volume describe various practices extending Christine Bruce's informed learning theory across a range of educational spaces.

Informed Learning Applications

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Author : Kim L. Ranger
language : en
Publisher: Emerald Group Publishing
Release Date : 2019-08-26

Evidence Informed Learning Design

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Author : Mirjam Neelen
language : en
Publisher: Kogan Page Publishers
Release Date : 2020-02-03

Evidence Informed Learning Design written by Mirjam Neelen and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Business & Economics categories.

Learning and Development (L&D) programmes are too often based on fads, the latest trends or learning designers' personal preferences without critical evaluation. Evidence-Informed Learning Design allows learning professionals to move away from this type of approach by showing them how to assess and apply relevant scientific literature, learning science research and proven learning techniques to design their training in a way that will make a measurable difference to employee performance and overall business success. Packed with tips, tools and examples, Evidence-Informed Learning Design enables L&D and training professionals to save both time and money by ensuring that efforts are focused on designing learning that's proven to be effective. Covering techniques like interleaving and self-directed and self-regulated learning, as well as debunking myths and fallacies in the field, it covers how best to test, measure and reinforce learning in both online, offline and face-to-face scenarios. To ensure that employees develop the skills the business needs to succeed and that the L&D function is recognised as adding true organizational value, this book is essential reading for anyone responsible for designing learning.

Machine Learning Applications In Subsurface Energy Resource Management

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Author : Srikanta Mishra
language : en
Publisher: CRC Press
Release Date : 2022-12-27

Machine Learning Applications In Subsurface Energy Resource Management written by Srikanta Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-27 with Technology & Engineering categories.

The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domain This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.

Global Action For School Libraries

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Author : Barbara Schultz-Jones
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-10-03

Global Action For School Libraries written by Barbara Schultz-Jones and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-03 with Language Arts & Disciplines categories.

This book focuses on inquiry-based teaching, one of the five vital aspects of the instructional work of school librarians identified in the second edition of the IFLA School Library Guidelines (2015). Effective implementation of inquiry-based teaching and learning requires a consistent instructional approach, based on a model of inquiry that is built upon foundations of research and best practice. The book explains the importance and significance of inquiry as a process of learning; outlines the research underpinning this process of learning; describes ways in which models of inquiry have been developed; provides recommendations for implementing the use of such models; and demonstrates how the other core instructional activities of school librarians, such as literacy and reading promotion, media and information literacy instruction, technology integration and professional development of teachers, can be integrated into inquiry. Inquiry-based learning is part of “learning to be a learner,” a lifelong pursuit involving finding and using information. Inquiry develops the skills and understandings that learners need in new information environments, whether that be as students in post-secondary institutions, as producers and creators in workplaces, or as citizens in communities. Through inquiry-based teaching, school librarians help students to build the essential skills and understandings needed for dealing with complex learning challenges, including analysis, critical thinking, and problem solving. In this book, special attention is given to the development of students’ metacognitive abilities, which are essential to their becoming life-long and life-wide learners.

Design Tools And Methods In Industrial Engineering Iv

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Author : Paolo Di Stefano
language : en
Publisher: Springer Nature
Release Date : 2025-02-08

Design Tools And Methods In Industrial Engineering Iv written by Paolo Di Stefano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Technology & Engineering categories.

This book gathers original peer-reviewed papers reporting on innovative methods and tools in design, modeling, simulation and optimization, and their applications in engineering design, manufacturing, and other relevant industrial sectors. Based on contributions to the Fourth International Conference on Design Tools and Methods in Industrial Engineering, ADM 2024, held on September 11–13, 2024, in Palermo, Italy, and organized by the Italian Association of Design Methods and Tools for Industrial Engineering, and the Department of Engineering of the University of Palermo, this first volume of a 2-volume set focuses on advances in design for additive manufacturing, product design and engineering, design for sustainability and ecoDesign, experimental methods in product development and integrated methods for product and process design. Further topics include: simulation, analysis and optimization, design of collaborative and soft robots, geometrical product specification and tolerancing, and design methods for mobility. This book provides academics and professionals with a timely overview and extensive information on trends and technologies in industrial design and manufacturing.

Knowledge Guided Machine Learning

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Author : Anuj Karpatne
language : en
Publisher: CRC Press
Release Date : 2022-08-15

Knowledge Guided Machine Learning written by Anuj Karpatne and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-15 with Business & Economics categories.

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML

Artificial Intelligence And Industrial Applications

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Author : Tawfik Masrour
language : en
Publisher: Springer Nature
Release Date : 2023-09-14

Artificial Intelligence And Industrial Applications written by Tawfik Masrour and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-14 with Technology & Engineering categories.

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Applied Graph Data Science

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Author : Pethuru Raj
language : en
Publisher: Elsevier
Release Date : 2025-01-27

Applied Graph Data Science written by Pethuru Raj and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.

Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. - Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applications - Gives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emphasis on deep analysis techniques including graph neural networks (GNNs), machine learning, algorithms, graph databases, and graph query languages - Covers extended graph models such as bipartite directed graphs of place-transition nets, graphs with dynamical processes defined on them - Petri and Sleptsov nets, and graphs as programming languages - Presents all the key tools and techniques as well as the foundations of graph theory, including mathematical concepts, research, and graph analytics

Gamification Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2015-03-31

Gamification Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-31 with Computers categories.

Serious games provide a unique opportunity to engage students more fully than traditional teaching approaches. Understanding the best way to utilize games and play in an educational setting is imperative for effectual learning in the twenty-first century. Gamification: Concepts, Methodologies, Tools, and Applications investigates the use of games in education, both inside and outside of the classroom, and how this field once thought to be detrimental to student learning can be used to augment more formal models. This four-volume reference work is a premier source for educators, administrators, software designers, and all stakeholders in all levels of education.

Informed Learning Applications

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