Innovative Learning Environments in STEM Higher Education
Innovative Learning Environments in STEM Higher Education

Author: Jungwoo Ryoo

Publisher: Springer Nature

Published: 2021-03-11

Total Pages: 148

ISBN-13: 303058948X

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As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.

The Multimodal Learning Analytics Handbook
The Multimodal Learning Analytics Handbook

Author: Michail Giannakos

Publisher: Springer Nature

Published: 2022-10-08

Total Pages: 362

ISBN-13: 3031080769

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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 Handbook of Multimodal-Multisensor Interfaces, Volume 2
The Handbook of Multimodal-Multisensor Interfaces, Volume 2

Author: Sharon Oviatt

Publisher: Morgan & Claypool

Published: 2018-10-08

Total Pages: 541

ISBN-13: 1970001690

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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, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. 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 second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. It includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. These chapters discuss real-time multimodal analysis of emotion and social signals from various modalities, and perception of affective expression by users. Further chapters discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides 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 rapidly expanding field. In the final section of this volume, experts exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade.

Social Innovations in Education, Environment, and Healthcare
Social Innovations in Education, Environment, and Healthcare

Author: Chandan, Harish Chandra

Publisher: IGI Global

Published: 2024-07-17

Total Pages: 490

ISBN-13:

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In the 21st century, traditional approaches to societal challenges often fall short. The need for innovative solutions is palpable, grounded in the understanding that progress is contingent upon embracing change. Scholars, policymakers, and institutions grapple with the delicate balance between economic growth and social well-being. The dichotomy between technical and social innovations becomes apparent, necessitating a comprehensive understanding of their interplay. The urgency to bridge this gap, addressing societal needs while fostering economic prosperity forms the crux of the challenge. Social Innovations in Education, Environment, and Healthcare emerge as an illuminating solution. Authored by experts in the field, this book offers a compelling exploration of social innovation as the key to unlocking transformative change. By delving into the intricacies of ideation, collaboration, implementation, and value creation, the book provides a roadmap for scholars, policymakers, non-profit organizations, for-profit firms, and universities. It dismantles the barriers between developed and developing nations, advocating for a global perspective in the pursuit of inclusive and impactful social innovations.

Machine Learning Paradigms
Machine Learning Paradigms

Author: Maria Virvou

Publisher: Springer

Published: 2019-03-16

Total Pages: 230

ISBN-13: 3030137430

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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.

Dialogic Pedagogy
Dialogic Pedagogy

Author: Anne Thwaite

Publisher: Taylor & Francis

Published: 2023-05-18

Total Pages: 312

ISBN-13: 1000876969

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Taking a dialogic approach, this edited book engages in analysis and description of dialogic discourse in a number of different educational contexts, from early childhood to tertiary, with an international team of contributors from Australia, Finland, New Zealand and the United Kingdom. The chapters focus mostly on dialogic face-to-face discourse, with some examples of online interactions, and feature insights from educational linguistics, particularly the work of Michael Halliday. While the contributors come from a range of theoretical backgrounds, they all share an interest in language in use and engage in close analysis of transcripts of naturally-occurring interaction. Taking inspiration from Alexander and other theorists, they employ a fine-grained and analytic approach to the exploration of their data. The authors make use of the linguistic tools and models of language in society, in order to examine the turn-by-turn unfolding of the interaction. The authors relate their insights from disparate forms of linguistic analysis to elements of Alexander’s (2020) dialogic framework, situating the discourse in its contexts and discussing the pedagogical implications of the linguistic choices at play. In presenting this work from a range of situations and perspectives, the authors strive to demonstrate how dialogic discourse plays out in educational contexts across the world. The book aims to foster further research in this direction and to inspire educators to explore dialogic discourse for themselves. It will be of interest to a wide audience, including literacy researchers, linguists, teachers and teacher educators, as well as graduate students.

Instructional Design with Emerging Technologies
Instructional Design with Emerging Technologies

Author: Heng Luo

Publisher: Taylor & Francis

Published: 2024-11-04

Total Pages: 247

ISBN-13: 1040222412

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Bridging the gap between instructional design (ID) theory and practice in today's technology-enhanced learning environments, the book extends the current understanding of instructional science with an up-to-date perspective on emerging technologies and their affordances for teaching and learning. Positioning ID as a systematic process informed by theoretical assumptions, empirical evidence, and pragmatic considerations, this book provides an in-depth description and reflective analysis of good practice in technology-enhanced learning and design with a tripartite framework of pedagogy, technology, and evidence. It covers well-established ID theories and models with real-life examples of their effective integration with technological innovations. The book aims to advance the understanding of ID from both pedagogical and technological perspectives to improve educational practice and theory development in the information age. The book will be of interest to students and academics in educational technology, instructional science, and instructional design, as well as instructional designers and teachers.