The Multimodal Learning Analytics Handbook
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The Multimodal Learning Analytics Handbook
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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.
Handbook Of Learning Analytics
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Author : Charles Lang
language : en
Publisher:
Release Date : 2017
Handbook Of Learning Analytics written by Charles Lang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Education categories.
"The Handbook of Learning Analytics is designed to meet the needs of a new and growing field. It aims to balance rigor, quality, open access and breadth of appeal and was devised to be an introduction to the current state of research. The Handbook is a snapshot of the field in 2017 and features a range of prominent authors from the learning analytics and educational data mining research communities. The chapters have been peer reviewed by committed members of these fields and are being published with the endorsement of both the Society for Learning Analytics Research and the International Society for Educational Data Mining. We hope you will find the Handbook of Learning Analytics a useful and informative resource."--Publisher information.
Multimodal Analytics For Next Generation Big Data Technologies And Applications
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Author : Kah Phooi Seng
language : en
Publisher: Springer
Release Date : 2019-07-18
Multimodal Analytics For Next Generation Big Data Technologies And Applications written by Kah Phooi Seng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-18 with Computers categories.
This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
A Beginner S Guide To Learning Analytics
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Author : Srinivasa K G
language : en
Publisher: Springer Nature
Release Date : 2021-04-19
A Beginner S Guide To Learning Analytics written by Srinivasa K G and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-19 with Education categories.
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
The Handbook Of Learning Analytics
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Author : Charles Lang
language : en
Publisher:
Release Date : 2017
The Handbook Of Learning Analytics written by Charles Lang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Learning Analytics In Education
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Author : David Niemi
language : en
Publisher: IAP
Release Date : 2018-08-01
Learning Analytics In Education written by David Niemi and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-01 with Education categories.
This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners’ experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than “analyzing learning data”—it is about deeply understanding what learning activities work well, for whom, and when. Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners’ progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by “shiny” technologies that are disconnected from how human learning and development actually work.
Learning Analytics Methods And Tutorials
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Author : Mohammed Saqr
language : en
Publisher: Springer Nature
Release Date :
Learning Analytics Methods And Tutorials written by Mohammed Saqr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Practicable Learning Analytics
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Author : Olga Viberg
language : en
Publisher: Springer Nature
Release Date : 2023-03-30
Practicable Learning Analytics written by Olga Viberg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-30 with Education categories.
This book is about practicable learning analytics, that is able to become a successful part of practice, ultimately leading to improved learning and teaching. The aim of the book is to shift our perspective on learning analytics creation and implementation from that of “designing of” technology to that of “designing for” a system of practice. That is, any successful implementation of learning analytics requires a systematic approach, which the book explains through the lens of the Information Systems Artefact, constituting of the three interdependent artefacts: “technical”, “information” and “social”. The contributions of this book go beyond a consideration of particular humans such as teachers and students, and their individual activities to consider the larger systems of activity of which analytics become part of. The chapters included in this book present different cases of learning analytics implementation across countries, and the related opportunities and challenges related to generalizability of the results. The book is written for designers, students and educators of learning analytics who aim to improve learning and teaching through learning analytics.
The Routledge Handbook Of Multimodal Analysis
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Author : Carey Jewitt
language : en
Publisher:
Release Date : 2016-09-19
The Routledge Handbook Of Multimodal Analysis written by Carey Jewitt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-19 with Communication categories.
"The Handbook includes chapters on key themes within multimodality such as technology, culture, notions of identity, social justice and power, and macro issues such as literacy policy. Taking a broad look at multimodality, the contributors engage with how a variety of other theoretical approaches have looked at multimodal communication and representation, including visual studies, anthropology, conversation analysis, socio-cultural theory, sociolinguistics, new literacy studies, multimodal corpora studies, critical discourse, semiotics and eye-tracking. Detailed multimodal analysis case studies are also included, along with an extensive updated glossary of key terms, to support those new to multimodality and to allow those already engaged in multimodal research to explore the fundamentals further"--Publisher's website.
Handbook Of Digital Resources In Mathematics Education
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Author : Birgit Pepin
language : en
Publisher: Springer Nature
Release Date :
Handbook Of Digital Resources In Mathematics Education written by Birgit Pepin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.