The Multimodal Learning Analytics Handbook
DOWNLOAD
Download The Multimodal Learning Analytics Handbook PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Multimodal Learning Analytics Handbook 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
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.
Learning Analytics Methods And Tutorials
DOWNLOAD
Author : Mohammed Saqr
language : en
Publisher: Springer Nature
Release Date : 2024-06-24
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 2024-06-24 with Education categories.
This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources. This is an open access book.
Practicable Learning Analytics
DOWNLOAD
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.
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.
The Routledge Handbook Of Multimodal Analysis
DOWNLOAD
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.
Perspectives On Learning Analytics For Maximizing Student Outcomes
DOWNLOAD
Author : Durak, Gürhan
language : en
Publisher: IGI Global
Release Date : 2023-10-24
Perspectives On Learning Analytics For Maximizing Student Outcomes written by Durak, Gürhan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Education categories.
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
DOWNLOAD
Author : Muhittin Sahin
language : en
Publisher: Springer Nature
Release Date : 2024-05-07
Assessment Analytics In Education written by Muhittin Sahin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-07 with Education categories.
This book is about the current state of research in online assessment. The growth of this field is set to accelerate exponentially with emerging opportunities for automatic data collection and analysis. Yet, the future of online assessment faces major challenges including, perhaps most importantly, the extent to which assessments, when enabled by technology, can serve simultaneously the needs of learners, teachers and those of the enterprise of education. This book details, specifically, the multiple ways in which online assessment can be utilized, such as: Providing virtual coaching or tutoring Offering appropriate scaffolding Allowing analysis of student decision-making Providing the mechanism for students to review and comment on each others digital creations Creating a space for online discussion Providing expert coaching for modeling and animation work With the increased availability of vast and highly varied amounts of data from learners, teachers, learning environments, and administrative systems within educational settings, further opportunities arise for advancing pedagogical assessment practice (Ifenthaler et al., 2018). This book fully details these opportunities, as well as privileges and constraints of analytics-enhanced assessment, harnessing formative as well as summative data from learners and their contexts in order to facilitate learning processes in near real-time and help decisionmakers to improve learning environments.
Ethics In Online Ai Based Systems
DOWNLOAD
Author : Santi Caballé
language : en
Publisher: Elsevier
Release Date : 2024-04-10
Ethics In Online Ai Based Systems written by Santi Caballé and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Computers categories.
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
DOWNLOAD
Author : Michail Giannakos
language : en
Publisher: Springer Nature
Release Date : 2022-09-30
Experimental Studies In Learning Technology And Child Computer Interaction 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 2022-09-30 with Education categories.
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.
Advances In Quantitative Ethnography
DOWNLOAD
Author : Golnaz Arastoopour Irgens
language : en
Publisher: Springer Nature
Release Date : 2023-10-21
Advances In Quantitative Ethnography written by Golnaz Arastoopour Irgens and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-21 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Conference on Advances in Quantitative Ethnography, ICQE 2023, held in Melbourne, VIC, Australia, during October 8–12, 2023. The 33 full papers included in this book were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: understanding learners and learning; society, culture, identity, and justice; and advances in QE methodologies.