The Multimodal Learning Analytics Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Multimodal Learning Analytics Handbook write by Michail Giannakos. This book was released on 2022-10-08. The Multimodal Learning Analytics Handbook available in PDF, EPUB and Kindle. 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.
The Routledge Handbook of Multimodal Analysis
The Routledge Handbook of Multimodal Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Routledge Handbook of Multimodal Analysis write by Carey Jewitt. This book was released on 2016-09-19. The Routledge Handbook of Multimodal Analysis available in PDF, EPUB and Kindle. "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.
Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Multimodal Analytics for Next-Generation Big Data Technologies and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimodal Analytics for Next-Generation Big Data Technologies and Applications write by Kah Phooi Seng. This book was released on 2019-07-18. Multimodal Analytics for Next-Generation Big Data Technologies and Applications available in PDF, EPUB and Kindle. 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.
Learning Analytics Methods and Tutorials
Learning Analytics Methods and Tutorials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning Analytics Methods and Tutorials write by Mohammed Saqr. This book was released on . Learning Analytics Methods and Tutorials available in PDF, EPUB and Kindle.
Practicable Learning Analytics
Practicable Learning Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practicable Learning Analytics write by Olga Viberg. This book was released on 2023-03-30. Practicable Learning Analytics available in PDF, EPUB and Kindle. 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.
