Theory Informing And Arising From Learning Analytics
DOWNLOAD
Download Theory Informing And Arising From Learning Analytics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Theory Informing And Arising From Learning Analytics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Theory Informing And Arising From Learning Analytics
DOWNLOAD
Author : Kathryn Bartimote
language : en
Publisher: Springer Nature
Release Date : 2024-12-28
Theory Informing And Arising From Learning Analytics written by Kathryn Bartimote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-28 with Education categories.
Theory Informing and Arising from Learning Analytics delves into the dynamic intersection of learning theory and educational data analysis within the field of Learning Analytics (LA). This groundbreaking book illuminates how theoretical insights can revolutionize data interpretation, reshape research methodologies, and expand the horizons of human learning and educational theory. Organized into three distinct sections, it offers a comprehensive introduction to the role of theory in LA, features contributions from leading scholars who apply diverse theoretical frameworks to their research, and explores cutting-edge topics where new theories are emerging. A standout feature is the inclusion of three “in conversation” chapters, where expert panels dive into the topics of ethics, self-regulated learning, and qualitative computation, enriched by accompanying podcasts that provide fresh, thought-provoking perspectives. This book is an invaluable resource for researchers, sparking debates on the evolving role of theory in LA and challenging conventional epistemological views. Published by Springer, it is an essential read for both aspiring and seasoned scholars eager to engage with the forefront of LA research.
Digital Transformation And Sustainability In Higher Education
DOWNLOAD
Author : Saad, Wan Zuhainis
language : en
Publisher: IGI Global
Release Date : 2025-06-20
Digital Transformation And Sustainability In Higher Education written by Saad, Wan Zuhainis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Education categories.
Digital transformation and sustainability have become pivotal in higher education, reshaping how institutions operate, teach, and engage with communities. As universities adopt technologies to enhance learning experiences and streamline administrative processes, they align these innovations with environmental and social responsibility. This convergence presents both opportunities and challenges, demanding strategic integration of smart infrastructure, data-driven decision-making, and sustainable practices. By embracing digital technology and sustainability, higher education institutions can improve educational outcomes and operational efficiency while addressing the global challenges of climate change and social equity. Digital Transformation and Sustainability in Higher Education explores the integration of digital technology into higher education practices for sustainable development. It examines the use of intelligent technologies for enhanced skill development and student learning. This book covers topics such as microcredentials, social responsibility, and gamification, and is a useful resource for educators, computer engineers, academicians, researchers, and data scientists.
Artificial Intelligence In Education
DOWNLOAD
Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-08-20
Artificial Intelligence In Education written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education
Learning Analytics Fundaments Applications And Trends
DOWNLOAD
Author : Alejandro Peña-Ayala
language : en
Publisher: Springer
Release Date : 2017-02-17
Learning Analytics Fundaments Applications And Trends written by Alejandro Peña-Ayala and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-17 with Technology & Engineering categories.
This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.
The Multimodal Learning Analytics Handbook
DOWNLOAD
Author : Michail Giannakos
language : en
Publisher: Springer Nature
Release Date : 2022-10-08
The Multimodal Learning Analytics Handbook written by Michail Giannakos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-08 with Education categories.
This handbook is the first book ever covering the area of Multimodal Learning Analytics (MMLA). The field of MMLA is an emerging domain of Learning Analytics and plays an important role in expanding the Learning Analytics goal of understanding and improving learning in all the different environments where it occurs. The challenge for research and practice in this field is how to develop theories about the analysis of human behaviors during diverse learning processes and to create useful tools that could augment the capabilities of learners and instructors in a way that is ethical and sustainable. Behind this area, the CrossMMLA research community exchanges ideas on how we can analyze evidence from multimodal and multisystem data and how we can extract meaning from this increasingly fluid and complex data coming from different kinds of transformative learning situations and how to best feed back the results of these analyses to achieve positive transformative actions on those learning processes. This handbook also describes how MMLA uses the advances in machine learning and affordable sensor technologies to act as a virtual observer/analyst of learning activities. The book describes how this “virtual nature” allows MMLA to provide new insights into learning processes that happen across multiple contexts between stakeholders, devices and resources. Using such technologies in combination with machine learning, Learning Analytics researchers can now perform text, speech, handwriting, sketches, gesture, affective, or eye-gaze analysis, improve the accuracy of their predictions and learned models and provide automated feedback to enable learner self-reflection. However, with this increased complexity in data, new challenges also arise. Conducting the data gathering, pre-processing, analysis, annotation and sense-making, in a way that is meaningful for learning scientists and other stakeholders (e.g., students or teachers), still pose challenges in this emergent field. This handbook aims to serve as a unique resource for state of the art methods and processes. Chapter 11 of this book is available open access under a CC BY 4.0 license at link.springer.com.
Online Learning Analytics
DOWNLOAD
Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2021-12-13
Online Learning Analytics written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-13 with Education categories.
"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work." —Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes. Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learning Scaling up learning analytics in an evidence-informed way The role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.
Development Theory
DOWNLOAD
Author : Jan Nederveen Pieterse
language : en
Publisher: SAGE
Release Date : 2001-03-20
Development Theory written by Jan Nederveen Pieterse and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-20 with Political Science categories.
The thoughts and works of one of the leading commentators on the theory and policy of development are contained in this volume. The book looks widely over issues of Eurocentricism, critical globalism, intercultural transaction, delinking and post-development theory and presents ideas for the future of the field. Throughout, the author tries to connect issues of development with the latest thinking in sociology, critical theory and social science generally. This comprehensive book will be used as a barometer of critical thought in the field today. The writing has come out of many years of teaching and travelling in developing countries and reflects the author's unusual and detailed experience of conditions in Europe, Asia, A
Data Science In Theory And Practice
DOWNLOAD
Author : Maria Cristina Mariani
language : en
Publisher: John Wiley & Sons
Release Date : 2021-10-12
Data Science In Theory And Practice written by Maria Cristina Mariani 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 2021-10-12 with Mathematics categories.
DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. The book offers readers a multitude of topics all relevant to the analysis of complex data sets. Along with a robust exploration of the theory underpinning data science, it contains numerous applications to specific and practical problems. The book also provides examples of code algorithms in R and Python and provides pseudo-algorithms to port the code to any other language. Ideal for students and practitioners without a strong background in data science, readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets Perfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, Data Science in Theory and Practice will also earn a place in the libraries of practicing data scientists, data and business analysts, and statisticians in the private sector, government, and academia.
Computational Learning Theories
DOWNLOAD
Author : David C. Gibson
language : en
Publisher: Springer Nature
Release Date : 2024-07-16
Computational Learning Theories written by David C. Gibson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Education categories.
This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by integrating learning theory with computational biology and complexity, offering an updated mechanism of learning, which integrates previous theories, provides a basis for scaling from individuals to societies, and unifies models of psychology, sociology and cultural studies. The book provides a road map for the development of AI that addresses the central problems of learning theory in the age of artificial intelligence including: optimizing human-machine collaboration promoting individual learning balancing personalization with privacy dealing with biases and promoting fairness explaining decisions and recommendations to build trust and accountability continuously balancing and adapting to individual, team and organizational goals generating and generalizing knowledge across fields and domains The book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence.
Quantitative Ethnography
DOWNLOAD
Author : David Williamson Shaffer
language : en
Publisher: Lulu.com
Release Date : 2017
Quantitative Ethnography written by David Williamson Shaffer and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Education categories.
How can we make sense of make sense of the deluge of information in the digital age? The new science of Quantitative Ethnography dissolves the boundaries between quantitative and qualitative research to give researchers tools for studying the human side of big data: to understand not just what data says, but what it tells us about the people who created it. Thoughtful, literate, and humane, Quantitative Ethnography integrates data-mining, discourse analysis, psychology, statistics, and ethnography into a brand-new science for understanding what people do and why they do it. Packed with anecdotes, stories, and clear explanations of complex ideas, Quantitative Ethnography is an engaging introduction to research methods for students, an introduction to data science for qualitative researchers, and an introduction to the humanities for statisticians--but also a compelling philosophical and intellectual journey for anyone who wants to understand learning, culture and behavior in the age of big data.