Multimodal Learning Toward Micro Video Understanding

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Multimodal Learning toward Micro-Video Understanding

Author : Liqiang Nie
Publisher : Springer Nature
ISBN 13 : 3031022556
Total Pages : 170 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Multimodal Learning toward Micro-Video Understanding by : Liqiang Nie

Download or read book Multimodal Learning toward Micro-Video Understanding written by Liqiang Nie and published by Springer Nature. This book was released on 2022-05-31 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Micro-videos, a new form of user-generated contents, have been spreading widely across various social platforms, such as Vine, Kuaishou, and Tik Tok. Different from traditional long videos, micro-videos are usually recorded by smart mobile devices at any place within a few seconds. Due to its brevity and low bandwidth cost, micro-videos are gaining increasing user enthusiasm. The blossoming of micro-videos opens the door to the possibility of many promising applications, ranging from network content caching to online advertising. Thus, it is highly desirable to develop an effective scheme for the high-order micro-video understanding. Micro-video understanding is, however, non-trivial due to the following challenges: (1) how to represent micro-videos that only convey one or few high-level themes or concepts; (2) how to utilize the hierarchical structure of the venue categories to guide the micro-video analysis; (3) how to alleviate the influence of low-quality caused by complex surrounding environments and the camera shake; (4) how to model the multimodal sequential data, {i.e.}, textual, acoustic, visual, and social modalities, to enhance the micro-video understanding; and (5) how to construct large-scale benchmark datasets for the analysis? These challenges have been largely unexplored to date. In this book, we focus on addressing the challenges presented above by proposing some state-of-the-art multimodal learning theories. To demonstrate the effectiveness of these models, we apply them to three practical tasks of micro-video understanding: popularity prediction, venue category estimation, and micro-video routing. Particularly, we first build three large-scale real-world micro-video datasets for these practical tasks. We then present a multimodal transductive learning framework for micro-video popularity prediction. Furthermore, we introduce several multimodal cooperative learning approaches and a multimodal transfer learning scheme for micro-video venue category estimation. Meanwhile, we develop a multimodal sequential learning approach for micro-video recommendation. Finally, we conclude the book and figure out the future research directions in multimodal learning toward micro-video understanding.

Image Fusion in Remote Sensing

Author : Arian Azarang
Publisher : Springer Nature
ISBN 13 : 3031022564
Total Pages : 89 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Image Fusion in Remote Sensing by : Arian Azarang

Download or read book Image Fusion in Remote Sensing written by Arian Azarang and published by Springer Nature. This book was released on 2022-05-31 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.

ECAI 2023

Author : K. Gal
Publisher : IOS Press
ISBN 13 : 164368437X
Total Pages : 3328 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis ECAI 2023 by : K. Gal

Download or read book ECAI 2023 written by K. Gal and published by IOS Press. This book was released on 2023-10-18 with total page 3328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Graph Learning for Fashion Compatibility Modeling

Author : Weili Guan
Publisher : Springer Nature
ISBN 13 : 3031188179
Total Pages : 120 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Graph Learning for Fashion Compatibility Modeling by : Weili Guan

Download or read book Graph Learning for Fashion Compatibility Modeling written by Weili Guan and published by Springer Nature. This book was released on 2022-11-02 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios. In particular, this book presents several cutting-edge graph learning techniques that can be used for outfit compatibility modeling. Due to its remarkable economic value, fashion compatibility modeling has gained increasing research attention in recent years. Although great efforts have been dedicated to this research area, previous studies mainly focused on fashion compatibility modeling for outfits that only involved two items and overlooked the fact that each outfit may be composed of a variable number of items. This book develops a series of graph-learning based outfit compatibility modeling schemes, all of which have been proven to be effective over several public real-world datasets. This systematic approach benefits readers by introducing the techniques for compatibility modeling of outfits that involve a variable number of composing items. To deal with the challenging task of outfit compatibility modeling, this book provides comprehensive solutions, including correlation-oriented graph learning, modality-oriented graph learning, unsupervised disentangled graph learning, partially supervised disentangled graph learning, and metapath-guided heterogeneous graph learning. Moreover, this book sheds light on research frontiers that can inspire future research directions for scientists and researchers.

Pattern Recognition and Computer Vision

Author : Shiqi Yu
Publisher : Springer Nature
ISBN 13 : 3031189078
Total Pages : 842 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Pattern Recognition and Computer Vision by : Shiqi Yu

Download or read book Pattern Recognition and Computer Vision written by Shiqi Yu and published by Springer Nature. This book was released on 2022-10-27 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.

Compatibility Modeling

Author : Xuemeng Song
Publisher : Springer Nature
ISBN 13 : 3031023218
Total Pages : 118 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Compatibility Modeling by : Xuemeng Song

Download or read book Compatibility Modeling written by Xuemeng Song and published by Springer Nature. This book was released on 2022-06-01 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, fashion has become an essential aspect of people's daily life. As each outfit usually comprises several complementary items, such as a top, bottom, shoes, and accessories, a proper outfit largely relies on the harmonious matching of these items. Nevertheless, not everyone is good at outfit composition, especially those who have a poor fashion aesthetic. Fortunately, in recent years the number of online fashion-oriented communities, like IQON and Chictopia, as well as e-commerce sites, like Amazon and eBay, has grown. The tremendous amount of real-world data regarding people's various fashion behaviors has opened a door to automatic clothing matching. Despite its significant value, compatibility modeling for clothing matching that assesses the compatibility score for a given set of (equal or more than two) fashion items, e.g., a blouse and a skirt, yields tough challenges: (a) the absence of comprehensive benchmark; (b) comprehensive compatibility modeling with the multi-modal feature variables is largely untapped; (c) how to utilize the domain knowledge to guide the machine learning; (d) how to enhance the interpretability of the compatibility modeling; and (e) how to model the user factor in the personalized compatibility modeling. These challenges have been largely unexplored to date. In this book, we shed light on several state-of-the-art theories on compatibility modeling. In particular, to facilitate the research, we first build three large-scale benchmark datasets from different online fashion websites, including IQON and Amazon. We then introduce a general data-driven compatibility modeling scheme based on advanced neural networks. To make use of the abundant fashion domain knowledge, i.e., clothing matching rules, we next present a novel knowledge-guided compatibility modeling framework. Thereafter, to enhance the model interpretability, we put forward a prototype-wise interpretable compatibility modeling approach. Following that, noticing the subjective aesthetics of users, we extend the general compatibility modeling to the personalized version. Moreover, we further study the real-world problem of personalized capsule wardrobe creation, aiming to generate a minimum collection of garments that is both compatible and suitable for the user. Finally, we conclude the book and present future research directions, such as the generative compatibility modeling, virtual try-on with arbitrary poses, and clothing generation.

Doing a Master's Dissertation in TESOL and Applied Linguistics

Author : Lindy Woodrow
Publisher : Routledge
ISBN 13 : 0429995776
Total Pages : 225 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Doing a Master's Dissertation in TESOL and Applied Linguistics by : Lindy Woodrow

Download or read book Doing a Master's Dissertation in TESOL and Applied Linguistics written by Lindy Woodrow and published by Routledge. This book was released on 2019-10-11 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing a Master’s Dissertation in TESOL and Applied Linguistics is a practical guide for master’s students tackling research and research writing for the first time. Structured for use in class or as part of an independent study, and divided into the four stages of designing, researching, writing up and submitting a dissertation, this book: carefully guides readers from the very beginning of producing a research proposal, all the way through to assessment procedures and the provisions for resubmission; covers publishing your dissertation and applying for higher research degrees, including funding; addresses all the most fundamental concerns students have about master’s dissertations, including how to choose a topic and conducting a literature review; draws upon examples from master’s dissertations from the UK, US and Australia and provides numerous ‘how-to’ tables and checklists; and includes activities and resources to facilitate master’s research and dissertation writing, as well as FAQs and solutions at the end of each chapter. Tailormade for MA students in TESOL or Applied Linguistics, this book is essential reading for students on these degrees around the world as well as for their supervisors and programme directors.

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.

Designing Learning with Digital Technologies

Author : Fei Victor Lim
Publisher : Taylor & Francis
ISBN 13 : 1040049400
Total Pages : 320 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Designing Learning with Digital Technologies by : Fei Victor Lim

Download or read book Designing Learning with Digital Technologies written by Fei Victor Lim and published by Taylor & Francis. This book was released on 2024-06-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a multimodal perspective on how to design meaningful learning experiences with digital technologies. Digital education is of increasing importance in today’s digital society and the editors bring together international thought-leaders and well-established academics across geographical regions to explore the topic. The book addresses the need to design learning with digital technologies, especially in a post-pandemic environment where blended learning has become ubiquitous. The book is organised around five themes: designing learning, digital learning designs, digital learning with embodied teaching, digital learning interactions, and digital multimodal literacies. The chapters focus on digital technologies as multimodal semiotic resources and the educational implication of each theme is drawn out from illustrative cases across contexts of learning. Essential reading for researchers and postgraduate students, this book offers state-of-the-art thinking on how educators can design new learning experiences for students through the meaningful and effective use of digital technologies. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Methodological Challenges When Exploring Digital Learning Spaces in Education

Author : Greta Björk Gudmundsdottir
Publisher : Springer
ISBN 13 : 9462097372
Total Pages : 154 pages
Book Rating : 4.4/5 (62 download)

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Book Synopsis Methodological Challenges When Exploring Digital Learning Spaces in Education by : Greta Björk Gudmundsdottir

Download or read book Methodological Challenges When Exploring Digital Learning Spaces in Education written by Greta Björk Gudmundsdottir and published by Springer. This book was released on 2014-08-08 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Over the last decade, the practices by which scholarly knowledge is produced – both within and across disciplines – have been substantially influenced by the appearance of digital information resources, communication networks and technology enhanced research tools. Viewed from a methodological perspective, the rich ICT-based environment in educational settings influences research methods, ethics and the general conduct of research. Methodological Challenges When Exploring Digital Learning Spaces in Education represents a collection of work of established academics as well as emerging early career researchers all of whom focus on various methodological challenges. From numerous perspectives, the chapters in this volume deal with three particularly demanding challenges for educational research in digital learning contexts. The first challenge concerns how research manages to explore networked learning within a multi-faceted ICT environment. What kind of research designs and forms of data collection are able to grasp this complexity of multiple learning taking place within these contexts? The second challenge deals with how researchers experience the research context and interact with various actors within these settings. How to capture and understand interaction between contexts and across different dimensions of contexts in time and space? And finally, the third challenge is about exploring how children make meaning across physical places and virtual spaces. All together, these challenges are questioning the traditional research methods that we use and are familiar with. This volume is devoted to stimulating debate about the various methodological challenges facing the researcher in the digital sphere of educational research, and furthermore, exploring what kind of new methodological approaches these challenges impose. It is aimed at students, researchers and academics within education and those working with learning across disciplines and contexts interested in methodological issues. Greta Björk Gudmundsdottir lives and works in Oslo, where she is a Researcher at the Norwegian Centre for ICT in Education. Kristin Beate Vasbø also works and lives in Oslo, where she is an Associate Professor at the Department of Teacher Education and School Research, University of Oslo. "

Video Data Analysis

Author : Anne Nassauer
Publisher : SAGE
ISBN 13 : 1529779162
Total Pages : 318 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Video Data Analysis by : Anne Nassauer

Download or read book Video Data Analysis written by Anne Nassauer and published by SAGE. This book was released on 2022-03-17 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions. This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research. With this book you will be able to: · Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation · Use video data in an ethical and effective way to maximise its impact · Utilise contemporary technology and accessible platforms such as YouTube, Twitter, Tik Tok and Facebook. This book is an ideal toolkit for researchers or postgraduate students across the social sciences working with video data as a part of their research projects. Accessible and practical, is written for qualitative and quantitative researchers, newcomers and experienced scholars. Features include interactive activities for different skill levels and ‘what to read next’ sections to help you engage further with the research mentioned in the book.

Learning from Multiple Social Networks

Author : Liqiang Nie
Publisher : Springer Nature
ISBN 13 : 3031023005
Total Pages : 102 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Learning from Multiple Social Networks by : Liqiang Nie

Download or read book Learning from Multiple Social Networks written by Liqiang Nie and published by Springer Nature. This book was released on 2022-05-31 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In fact, multiple social networks characterize the same social users from different perspectives, and their contexts are usually consistent or complementary rather than independent. Hence, as compared to using information from a single social network, appropriate aggregation of multiple social networks offers us a better way to comprehensively understand the given social users. Learning across multiple social networks brings opportunities to new services and applications as well as new insights on user online behaviors, yet it raises tough challenges: (1) How can we map different social network accounts to the same social users? (2) How can we complete the item-wise and block-wise missing data? (3) How can we leverage the relatedness among sources to strengthen the learning performance? And (4) How can we jointly model the dual-heterogeneities: multiple tasks exist for the given application and each task has various features from multiple sources? These questions have been largely unexplored to date. We noticed this timely opportunity, and in this book we present some state-of-the-art theories and novel practical applications on aggregation of multiple social networks. In particular, we first introduce multi-source dataset construction. We then introduce how to effectively and efficiently complete the item-wise and block-wise missing data, which are caused by the inactive social users in some social networks. We next detail the proposed multi-source mono-task learning model and its application in volunteerism tendency prediction. As a counterpart, we also present a mono-source multi-task learning model and apply it to user interest inference. We seamlessly unify these models with the so-called multi-source multi-task learning, and demonstrate several application scenarios, such as occupation prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy issues and source complementarity modeling. This is preliminary research on learning from multiple social networks, and we hope it can inspire more active researchers to work on this exciting area. If we have seen further it is by standing on the shoulders of giants.

Technology-Enhanced and Collaborative Learning

Author : Stewart Martin
Publisher : Routledge
ISBN 13 : 1351981099
Total Pages : 135 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Technology-Enhanced and Collaborative Learning by : Stewart Martin

Download or read book Technology-Enhanced and Collaborative Learning written by Stewart Martin and published by Routledge. This book was released on 2018-07-26 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology-enhanced, collaborative and blended learning settings can promote more effective approaches to teaching, learning and assessment when context, agency and individual characteristics are taken into account. This book presents critical insight into the theoretical and practical progress made towards establishing effective, valid and reliable strategies for using and evaluating such approaches, and the challenges and implications of doing so. Topics explored include technology-enhanced learning and student evaluations; student engagement and the perception of teaching quality; instructional design and assessment strategies; blended network and mobile technologies for enriching learning and for monitoring and assessment; and the motivations of students to engage with evaluation. Contributors examine issues such as the underlying variabilities in student evaluation of teaching; the implications of inherited cultural and pedagogic practices for educators using collaborative and blended learning; and the international empirical progress in research to understand and measure interactions between cognition, successful learning, and individual difference in technology-augmented settings.

Automated Machine Learning and Meta-Learning for Multimedia

Author : Wenwu Zhu
Publisher : Springer Nature
ISBN 13 : 3030881326
Total Pages : 240 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Automated Machine Learning and Meta-Learning for Multimedia by : Wenwu Zhu

Download or read book Automated Machine Learning and Meta-Learning for Multimedia written by Wenwu Zhu and published by Springer Nature. This book was released on 2022-01-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry. This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.

International Handbook of Interpretation in Educational Research

Author : Paul Smeyers
Publisher : Springer
ISBN 13 : 9401792828
Total Pages : 1645 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis International Handbook of Interpretation in Educational Research by : Paul Smeyers

Download or read book International Handbook of Interpretation in Educational Research written by Paul Smeyers and published by Springer. This book was released on 2015-01-06 with total page 1645 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook focuses on the often neglected dimension of interpretation in educational research. It argues that all educational research is in some sense ‘interpretive’, and that understanding this issue belies some usual dualisms of thought and practice, such as the sharp dichotomy between ‘qualitative’ and ‘quantitative’ research. Interpretation extends from the very framing of the research task, through the sources which constitute the data, the process of their recording, representation and analysis, to the way in which the research is finally or provisionally presented. The thesis of the handbook is that interpretation cuts across the fields (both philosophically, organizationally and methodologically). By covering a comprehensive range of research approaches and methodologies, the handbook gives (early career) researchers what they need to know in order to decide what particular methods can offer for various educational research contexts/fields. An extensive overview includes concrete examples of different kinds of research (not limited for example to ‘teaching’ and ‘learning’ examples as present in the Anglo-Saxon tradition, but including as well what in the German Continental tradition is labelled ‘pädagogisch’, examples from child rearing and other contexts of non-formal education) with full description and explanation of why these were chosen in particular circumstances and reflection on the wisdom or otherwise of the choice – combined in each case with consideration of the role of interpretation in the process. The handbook includes examples of a large number of methods traditionally classified as qualitative, interpretive and quantitative used across the area of the study of education. Examples are drawn from across the globe, thus exemplifying the different ‘opportunities and constraints’ that educational research has to confront in different societies.

International Handbook on Education Development in the Asia-Pacific

Author : Wing On Lee
Publisher : Springer Nature
ISBN 13 : 981196887X
Total Pages : 2588 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis International Handbook on Education Development in the Asia-Pacific by : Wing On Lee

Download or read book International Handbook on Education Development in the Asia-Pacific written by Wing On Lee and published by Springer Nature. This book was released on 2023-11-20 with total page 2588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer International Handbook of Educational Development in Asia Pacific breaks new ground with a comprehensive, fine-grained and diverse perspective on research and education development throughout the Asia Pacific region. In 13 sections and 127 chapters, the Handbook delves into a wide spectrum of contemporary topics including educational equity and quality, language education, learning and human development, workplace learning, teacher education and professionalization, higher education organisations, citizenship and moral education, and high performing education systems. The Handbook is grounded in specific Asia Pacific contexts and scholarly traditions, using unique country-specific narratives, for example, Vietnam and Melanesia, and socio-cultural investigations through lenses such as language identity or colonisation, while offering parallel academic discourse and analyses framed by broader policy commentary from around the world.

Teaching for Equity, Justice, and Antiracism with Digital Literacy Practices

Author : Meghan E. Barnes
Publisher : Taylor & Francis
ISBN 13 : 1040012612
Total Pages : 267 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Teaching for Equity, Justice, and Antiracism with Digital Literacy Practices by : Meghan E. Barnes

Download or read book Teaching for Equity, Justice, and Antiracism with Digital Literacy Practices written by Meghan E. Barnes and published by Taylor & Francis. This book was released on 2024-05-30 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: To embrace today’s culturally and linguistically diverse secondary English Language Arts (ELA) classrooms, this text presents ways in which teachers can use digital tools in the service of antiracist teaching and developing equity-oriented mindsets in teaching and learning. Addressing how the use of digital tools and literacy practices can be woven into current ELA curricula, and with consistent sections, each chapter covers a different aspect of digital tool use, including multimodal texts, critical media literacies, connection-building, and digital composing. Understanding that no classroom is a monolith, Barnes and Marlatt’s timely text presents practical applications and resources suitable for different environments, including urban and rural contexts. The volume is essential reading in courses on ELA/literacy methods and multicultural education.