The Multimodal Learning Analytics Handbook

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The Multimodal Learning Analytics Handbook

Author : Michail Giannakos
Publisher : Springer Nature
ISBN 13 : 3031080769
Total Pages : 362 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Multimodal Learning Analytics Handbook by : Michail Giannakos

Download or read book The Multimodal Learning Analytics Handbook written by Michail Giannakos and published by Springer Nature. This book was released on 2022-10-08 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Author : Kah Phooi Seng
Publisher : Springer
ISBN 13 : 3319975986
Total Pages : 391 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Multimodal Analytics for Next-Generation Big Data Technologies and Applications by : Kah Phooi Seng

Download or read book Multimodal Analytics for Next-Generation Big Data Technologies and Applications written by Kah Phooi Seng and published by Springer. This book was released on 2019-07-18 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Routledge Handbook of Multimodal Analysis

Author : Carey Jewitt
Publisher :
ISBN 13 : 9781138245198
Total Pages : 0 pages
Book Rating : 4.2/5 (451 download)

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Book Synopsis The Routledge Handbook of Multimodal Analysis by : Carey Jewitt

Download or read book The Routledge Handbook of Multimodal Analysis written by Carey Jewitt and published by . This book was released on 2016-09-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Practicable Learning Analytics

Author : Olga Viberg
Publisher : Springer Nature
ISBN 13 : 3031276469
Total Pages : 217 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Practicable Learning Analytics by : Olga Viberg

Download or read book Practicable Learning Analytics written by Olga Viberg and published by Springer Nature. This book was released on 2023-03-30 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Analytics in Education

Author : David Niemi
Publisher : IAP
ISBN 13 : 1641133716
Total Pages : pages
Book Rating : 4.6/5 (411 download)

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Book Synopsis Learning Analytics in Education by : David Niemi

Download or read book Learning Analytics in Education written by David Niemi and published by IAP. This book was released on 2018-08-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Handbook of Multimodal-Multisensor Interfaces, Volume 1

Author : Sharon Oviatt
Publisher : Morgan & Claypool
ISBN 13 : 1970001666
Total Pages : 600 pages
Book Rating : 4.9/5 (7 download)

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Book Synopsis The Handbook of Multimodal-Multisensor Interfaces, Volume 1 by : Sharon Oviatt

Download or read book The Handbook of Multimodal-Multisensor Interfaces, Volume 1 written by Sharon Oviatt and published by Morgan & Claypool. This book was released on 2017-06-01 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces— user input involving new media (speech, multi-touch, gestures, writing) embedded in multimodal-multisensor interfaces. These interfaces support smart phones, wearables, in-vehicle and robotic applications, and many other areas that are now highly competitive commercially. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This first volume of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling and interface designs that support user choice, that synergistically combine modalities with sensors, and that blend multimodal input and output. This volume also highlights an in-depth look at the most common multimodal-multisensor combinations—for example, touch and pen input, haptic and non-speech audio output, and speech-centric systems that co-process either gestures, pen input, gaze, or visible lip movements. A common theme throughout these chapters is supporting mobility and individual differences among users. These handbook chapters provide walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces should be designed in the future to most effectively advance human performance.

Self-directed multimodal learning in higher education

Author : Jako Olivier
Publisher : AOSIS
ISBN 13 : 1928523412
Total Pages : 470 pages
Book Rating : 4.9/5 (285 download)

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Book Synopsis Self-directed multimodal learning in higher education by : Jako Olivier

Download or read book Self-directed multimodal learning in higher education written by Jako Olivier and published by AOSIS. This book was released on 2020-12-31 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide an overview of theoretical and practical considerations in terms of self-directed multimodal learning within the university context. Multimodal learning is approached in terms of the levels of multimodality and specifically blended learning and the mixing of modes of delivery (contact and distance education). As such, this publication will provide a unique snapshot of multimodal practices within higher education through a self-directed learning epistemological lens. The book covers issues such as what self-directed multimodal learning entails, mapping of specific publications regarding blended learning, blended learning in mathematics, geography, natural science and computer literacy, comparative experiences in distance education as well as situated and culturally appropriate learning in multimodal contexts. This book provides a unique focus on multimodality in terms of learning and delivery within the context of self-directed learning. Therefore, the publication would not only advance the scholarship of blended and open distance learning in South Africa, but also the contribute to enriching the discourse regarding self-direction. From this book readers will get an impression of the latest trends in literature in terms of multimodal self-directed learning in South Africa as well as unique empirical work being done in this regard.

Perspectives on Learning Analytics for Maximizing Student Outcomes

Author : Durak, Gürhan
Publisher : IGI Global
ISBN 13 : 1668495287
Total Pages : 479 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Perspectives on Learning Analytics for Maximizing Student Outcomes by : Durak, Gürhan

Download or read book Perspectives on Learning Analytics for Maximizing Student Outcomes written by Durak, Gürhan and published by IGI Global. This book was released on 2023-10-24 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximizing student outcomes in education presents a significant challenge, as traditional assessment methods often fall short in providing actionable insights for improvement. Perspectives on Learning Analytics for Maximizing Student Outcomes addresses this challenge by offering a comprehensive solution. Edited by esteemed scholars Gürhan Durak and Serkan Çankaya, this book provides innovative knowledge and practical experiences on emerging technologies and processes in learning analytics. It covers topics such as data collection, visualization, predictive analytics, and ethical considerations, serving as a guide for academic scholars, technology enthusiasts, and educational institutions. This book empowers professionals and researchers to leverage learning analytics effectively, enabling data-informed decision-making, improved teaching practices, and tailored educational programs. By presenting best practices and future directions, it equips readers with the necessary tools to optimize learning environments and drive student success. With a focus on the transformative potential of learning analytics, this book propels education toward a more efficient and effective system that prioritizes student outcomes.

Assessment Analytics in Education

Author : Muhittin Sahin
Publisher : Springer Nature
ISBN 13 : 3031563654
Total Pages : 417 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Assessment Analytics in Education by : Muhittin Sahin

Download or read book Assessment Analytics in Education written by Muhittin Sahin and published by Springer Nature. This book was released on with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ethics in Online AI-Based Systems

Author : Santi Caballé
Publisher : Elsevier
ISBN 13 : 0443188505
Total Pages : 425 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Ethics in Online AI-Based Systems by : Santi Caballé

Download or read book Ethics in Online AI-Based Systems written by Santi Caballé and published by Elsevier. This book was released on 2024-04-19 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent technological advancements have deeply transformed society and the way people interact with each other. Instantaneous communication platforms have allowed connections with other people, forming global communities, and creating unprecedented opportunities in many sectors, making access to online resources more ubiquitous by reducing limitations imposed by geographical distance and temporal constrains. These technological developments bear ethically relevant consequences with their deployment, and legislations often lag behind such advancements. Because the appearance and deployment of these technologies happen much faster than legislative procedures, the way these technologies affect social interactions have profound ethical effects before any legislative regulation can be built, in order to prevent and mitigate those effects. Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends features a series of reflections from experts in different fields on potential ethically relevant outcomes that upcoming technological advances could bring about in our society. Creating a space to explore the ethical relevance that technologies currently still under development could have constitutes an opportunity to better understand how these technologies could or should not be used in the future in order to maximize their ethically beneficial outcomes, while avoiding potential detrimental effects. Stimulating reflection and considerations with respect to the design, deployment and use of technology will help guide current and future technological advancements from an ethically informed position in order to ensure that, tomorrow, such advancements could contribute towards solving current global and social challenges that we, as a society, have today. This will not only be useful for researchers and professional engineers, but also for educators, policy makers, and ethicists. Investigates how "intelligent" technological advances might be used, how they will affect social interactions, and what ethical consequences they might have for society Identifies and reflects on questions that need to be asked before the design, deployment, and application of upcoming technological advancements, aiming to both prevent and mitigate potential risks, as well as to identify potentially ethically-beneficial opportunities Recognizes the huge potential for ethically-relevant outcomes that technological advancements have, and take proactive steps to anticipate that they be designed from an ethically-informed position Provides reflections that highlight the importance of the relationship between technology, their users and our society, thus encouraging informed design and educational and legislative approaches that take this relationship into account

Experimental Studies in Learning Technology and Child–Computer Interaction

Author : Michail Giannakos
Publisher : Springer Nature
ISBN 13 : 3031143507
Total Pages : 120 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Experimental Studies in Learning Technology and Child–Computer Interaction by : Michail Giannakos

Download or read book Experimental Studies in Learning Technology and Child–Computer Interaction written by Michail Giannakos and published by Springer Nature. This book was released on 2022-09-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the ways in which experiments can be employed in the context of research on learning technologies and child–computer interaction (CCI). It is directed at researchers, supporting them to employ experimental studies while increasing their quality and rigor. The book provides a complete and comprehensive description on how to design, implement, and report experiments, with a focus on and examples from CCI and learning technology research. The topics covered include an introduction to CCI and learning technologies as interdisciplinary fields of research, how to design educational interfaces and visualizations that support experimental studies, the advantages and disadvantages of a variety of experiments, methodological decisions in designing and conducting experiments (e.g. devising hypotheses and selecting measures), and the reporting of results. As well, a brief introduction on how contemporary advances in data science, artificial intelligence, and sensor data have impacted learning technology and CCI research is presented. The book details three important issues that a learning technology and CCI researcher needs to be aware of: the importance of the context, ethical considerations, and working with children. The motivation behind and emphasis of this book is helping prospective CCI and learning technology researchers (a) to evaluate the circumstances that favor (or do not favor) the use of experiments, (b) to make the necessary methodological decisions about the type and features of the experiment, (c) to design the necessary “artifacts” (e.g., prototype systems, interfaces, materials, and procedures), (d) to operationalize and conduct experimental procedures to minimize potential bias, and (e) to report the results of their studies for successful dissemination in top-tier venues (such as journals and conferences). This book is an open access publication.

Handbook of Learning Analytics

Author : Charles Lang
Publisher :
ISBN 13 : 9780995240810
Total Pages : 355 pages
Book Rating : 4.2/5 (48 download)

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Book Synopsis Handbook of Learning Analytics by : Charles Lang

Download or read book Handbook of Learning Analytics written by Charles Lang and published by . This book was released on 2017 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Handbook of Artificial Intelligence in Education

Author : Benedict du Boulay
Publisher : Edward Elgar Publishing
ISBN 13 : 1800375417
Total Pages : 697 pages
Book Rating : 4.8/5 (3 download)

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Book Synopsis Handbook of Artificial Intelligence in Education by : Benedict du Boulay

Download or read book Handbook of Artificial Intelligence in Education written by Benedict du Boulay and published by Edward Elgar Publishing. This book was released on 2023-01-20 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gathering insightful and stimulating contributions from leading global experts in Artificial Intelligence in Education (AIED), this comprehensive Handbook traces the development of AIED from its early foundations in the 1970s to the present day.

Machine Learning Paradigms

Author : Maria Virvou
Publisher : Springer
ISBN 13 : 3030137430
Total Pages : 223 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning Paradigms by : Maria Virvou

Download or read book Machine Learning Paradigms written by Maria Virvou and published by Springer. This book was released on 2019-03-16 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

Handbook of Open, Distance and Digital Education

Author : Olaf Zawacki-Richter
Publisher : Springer Nature
ISBN 13 : 981192080X
Total Pages : 1425 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Handbook of Open, Distance and Digital Education by : Olaf Zawacki-Richter

Download or read book Handbook of Open, Distance and Digital Education written by Olaf Zawacki-Richter and published by Springer Nature. This book was released on 2023-01-01 with total page 1425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook offers a one-stop-shop for both new and established researchers, educators, policy makers and administrators in the field of open, distance and digital education (ODDE) to gain a comprehensive overview of the history, theory and practice at all levels of ODDE, and at the same time stimulates in-depth discussions on various themes and issues of ODDE for today and future. Researchers, scholars and students in the field of ODDE can use this handbook as a major reference to conduct their own research and learning agendas. To cover the field comprehensively, the handbook is structured following the 3M framework developed by one of the chief editors Zawacki-Richter. The 3M framework categorizes the major research areas and issues in ODDE on three levels. Accordingly, the handbook is divided into six sections in total, two section at each of the three levels: 1) Macro Level – ODDE Systems and Theories, 2) Meso Level - Institutional Perspectives, Management and Organization, and 3) Micro Level – Learning and Teaching in ODDE. This is an open access book.

Artificial Intelligence in Education

Author : Ning Wang
Publisher : Springer Nature
ISBN 13 : 3031362721
Total Pages : 863 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Artificial Intelligence in Education by : Ning Wang

Download or read book Artificial Intelligence in Education written by Ning Wang and published by Springer Nature. This book was released on 2023-06-25 with total page 863 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED 2023, held in Tokyo, Japan, during July 3-7, 2023. This event took place in hybrid mode. The 53 full papers and 26 short papers presented in this book were carefully reviewed and selected from 311 submissions. The papers present result in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. The conference was hosted by the prestigious International Artificial Intelligence in Education Society, a global association of researchers and academics specializing in the many fields that comprise AIED, including, but not limited to, computer science, learning sciences, and education.

A Beginner’s Guide to Learning Analytics

Author : Srinivasa K G
Publisher : Springer Nature
ISBN 13 : 3030702588
Total Pages : 326 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Beginner’s Guide to Learning Analytics by : Srinivasa K G

Download or read book A Beginner’s Guide to Learning Analytics written by Srinivasa K G and published by Springer Nature. This book was released on 2021-04-19 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.