The Multimodal Learning Analytics Handbook

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The Multimodal Learning Analytics Handbook

Author : Michail Giannakos,Daniel Spikol,Daniele Di Mitri,Kshitij Sharma,Xavier Ochoa,Rawad Hammad
Publisher : Springer Nature
Page : 362 pages
File Size : 46,9 Mb
Release : 2022-10-08
Category : Education
ISBN : 9783031080760

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The Multimodal Learning Analytics Handbook by Michail Giannakos,Daniel Spikol,Daniele Di Mitri,Kshitij Sharma,Xavier Ochoa,Rawad Hammad Pdf

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,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
Publisher : Springer
Page : 391 pages
File Size : 53,7 Mb
Release : 2019-07-18
Category : Computers
ISBN : 9783319975986

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications by Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao Pdf

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 : Unknown
Page : 0 pages
File Size : 46,8 Mb
Release : 2016-09-19
Category : Communication
ISBN : 1138245194

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The Routledge Handbook of Multimodal Analysis by Carey Jewitt Pdf

"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.

The Handbook of Multimodal-Multisensor Interfaces, Volume 1

Author : Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos
Publisher : Morgan & Claypool
Page : 600 pages
File Size : 43,7 Mb
Release : 2017-06-01
Category : Computers
ISBN : 9781970001662

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The Handbook of Multimodal-Multisensor Interfaces, Volume 1 by Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos Pdf

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.

Practicable Learning Analytics

Author : Olga Viberg,Åke Grönlund
Publisher : Springer Nature
Page : 217 pages
File Size : 50,6 Mb
Release : 2023-03-30
Category : Education
ISBN : 9783031276460

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Practicable Learning Analytics by Olga Viberg,Åke Grönlund Pdf

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.

Machine Learning Paradigms

Author : Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer
Page : 223 pages
File Size : 52,5 Mb
Release : 2019-03-16
Category : Technology & Engineering
ISBN : 9783030137434

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Machine Learning Paradigms by Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain Pdf

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.

Recommender Systems for Learning

Author : Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval
Publisher : Springer Science & Business Media
Page : 76 pages
File Size : 46,5 Mb
Release : 2012-08-28
Category : Computers
ISBN : 9781461443612

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Recommender Systems for Learning by Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval Pdf

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

A Beginner’s Guide to Learning Analytics

Author : Srinivasa K G,Muralidhar Kurni
Publisher : Springer Nature
Page : 326 pages
File Size : 45,6 Mb
Release : 2021-04-19
Category : Education
ISBN : 9783030702588

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A Beginner’s Guide to Learning Analytics by Srinivasa K G,Muralidhar Kurni Pdf

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.

Perspectives on Learning Analytics for Maximizing Student Outcomes

Author : Durak, Gürhan,Cankaya, Serkan
Publisher : IGI Global
Page : 479 pages
File Size : 52,5 Mb
Release : 2023-10-24
Category : Education
ISBN : 9781668495285

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Perspectives on Learning Analytics for Maximizing Student Outcomes by Durak, Gürhan,Cankaya, Serkan Pdf

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.

Handbook of Learning Analytics

Author : Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic
Publisher : Unknown
Page : 355 pages
File Size : 48,5 Mb
Release : 2017
Category : Education
ISBN : 0995240817

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Handbook of Learning Analytics by Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic Pdf

"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.

Self-directed multimodal learning in higher education

Author : Jako Olivier
Publisher : AOSIS
Page : 470 pages
File Size : 48,5 Mb
Release : 2020-12-31
Category : Education
ISBN : 9781928523413

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Self-directed multimodal learning in higher education by Jako Olivier Pdf

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.

Assessment Analytics in Education

Author : Muhittin Sahin
Publisher : Springer Nature
Page : 417 pages
File Size : 51,6 Mb
Release : 2024-05-22
Category : Electronic
ISBN : 9783031563652

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Assessment Analytics in Education by Muhittin Sahin Pdf

Ethics in Online AI-Based Systems

Author : Santi Caballé,Joan Casas-Roma,Jordi Conesa
Publisher : Elsevier
Page : 425 pages
File Size : 46,5 Mb
Release : 2024-04-19
Category : Computers
ISBN : 9780443188503

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Ethics in Online AI-Based Systems by Santi Caballé,Joan Casas-Roma,Jordi Conesa Pdf

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
Page : 120 pages
File Size : 54,9 Mb
Release : 2022-09-30
Category : Education
ISBN : 9783031143502

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Experimental Studies in Learning Technology and Child–Computer Interaction by Michail Giannakos Pdf

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 Artificial Intelligence in Education

Author : Benedict du Boulay,Antonija Mitrovic,Kalina Yacef
Publisher : Edward Elgar Publishing
Page : 697 pages
File Size : 46,5 Mb
Release : 2023-01-20
Category : Education
ISBN : 9781800375413

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Handbook of Artificial Intelligence in Education by Benedict du Boulay,Antonija Mitrovic,Kalina Yacef Pdf

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.