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Author: Demetrios Sampson
Publisher: Springer
ISBN: 3030151301
Category : Education
Languages : en
Pages : 314
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Book Description
This volume provides a contemporary glance at the drastically expanding field of delivering large-scale education to unprecedented numbers of learners. It compiles papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) conference, which has a goal of continuing to address these challenges and promote the effective use of new tools and technologies to support teaching, learning and assessment. Given the emerging global trend to exploit the potential of existing digital technologies to improve the teaching, learning and assessment experiences for all learners in real-life contexts, this topic is a unifying theme for this volume. The book showcases how emerging educational technologies and innovative practices have been used to address core global educational challenges. It provides state-of-the-art insights and case studies of exploiting innovative learning technologies, including Massive Open Online Courses and educational data analytics, to address key global challenges spanning from online Teacher Education to large-scale coding competence development. This volume will be of interest to academics and professional practitioners working in the area of digital technology integration in teaching, learning and assessment, as well as those interested in specific conference themes (e.g., designing and assessing learning in online environments, assessing learning in complex domains) and presenters, invited speakers, and participants of the CELDA conference.
Author: Demetrios Sampson
Publisher: Springer
ISBN: 3030151301
Category : Education
Languages : en
Pages : 314
Get Book Here
Book Description
This volume provides a contemporary glance at the drastically expanding field of delivering large-scale education to unprecedented numbers of learners. It compiles papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) conference, which has a goal of continuing to address these challenges and promote the effective use of new tools and technologies to support teaching, learning and assessment. Given the emerging global trend to exploit the potential of existing digital technologies to improve the teaching, learning and assessment experiences for all learners in real-life contexts, this topic is a unifying theme for this volume. The book showcases how emerging educational technologies and innovative practices have been used to address core global educational challenges. It provides state-of-the-art insights and case studies of exploiting innovative learning technologies, including Massive Open Online Courses and educational data analytics, to address key global challenges spanning from online Teacher Education to large-scale coding competence development. This volume will be of interest to academics and professional practitioners working in the area of digital technology integration in teaching, learning and assessment, as well as those interested in specific conference themes (e.g., designing and assessing learning in online environments, assessing learning in complex domains) and presenters, invited speakers, and participants of the CELDA conference.
Author: Kavakl? Uluta?, Nurdan
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 290
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Book Description
In the world of education, technology has revolutionized teaching and learning practices globally. However, the widespread adoption of technology, especially in response to Covid-19, has led to a deluge of data from students' digital footprints. The challenge lies in effectively using this data through learning analytics (LA) to optimize K-12 classroom practices. Emergent Practices of Learning Analytics in K-12 Classrooms, edited by Dr. Nurdan Kavakl? Uluta? and Dr. Devrim Höl offers a comprehensive solution to these challenges. This book gathers academic scholars to explore practical perspectives on applying learning analytics in K-12 classrooms, combining qualitative and quantitative methodologies. Addressing topics such as predictive analytics, ethical considerations, and future directions, it empowers educators to make data-driven decisions, creating engaging learning experiences for improved student outcomes. By embracing the insights and recommendations presented in this book, academic scholars can confidently navigate the realm of learning analytics and shape the future of K-12 education.
Author: Dirk Ifenthaler
Publisher: Springer Nature
ISBN: 3030909441
Category : Education
Languages : en
Pages : 325
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Book Description
This volume focuses on the implications of digital technologies for educators and educational decision makers that are not widely represented in the literature. The chapters contained in the volume are based on the presentations at the 2020 edition of the CELDA conference and cover multiple developments in the field such as deploying learning technologies, proposing pedagogical approaches and practices to address digital transformation, and presenting case studies of specific technologies and contexts. The chapters form a lively debate and provide a comprehensive analysis of the contribution of learning technologies designed to improve the learning process and the experience of the students as well as to develop key competences.
Author: Aboul-Ella Hassanien
Publisher: Springer Nature
ISBN: 3030442896
Category : Technology & Engineering
Languages : en
Pages : 880
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Book Description
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
Author: Pedro Isaias
Publisher: Springer Nature
ISBN: 3030481948
Category : Education
Languages : en
Pages : 235
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Book Description
This volume provides a comprehensive and contemporary depiction of the swift evolution of learning technologies and the innovations that derive from their deployment in school education. It comprises cases studies, research focused on emergent technologies and experiments with existing tools in a wide range of scenarios. The studies included in this volume explore the conceptual and practical aspects of technologies that are used to support learning, with a multidisciplinary approach that encompasses all levels of education. The three sections of this volume emphasise the use of digital technologies from the viewpoint of different fields of expertise, explore multiple educational settings where technology was implemented to support the various stages of the learning process, and underline strategies, tools and technologies that play a crucial role in the professional development of teachers.
Author: Pedro Isaias
Publisher: Springer Nature
ISBN: 3030481905
Category : Education
Languages : en
Pages : 224
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Book Description
This book is to explores a variety of facets of online learning environments to understand how learning occurs and succeeds in digital contexts and what teaching strategies and technologies are most suited to this format. Business, health, government and education are some of the core sectors of society which have been experiencing deep transformations due to a generalized digitalization. While these changes are not novel, the swift progress of technology and the rising complexity of digital environments place a focus on the need for further research and novel strategies. In the context of education, the promise of increased flexibility and broader access to educational resources is impelling much of higher education’s course offerings to online environments. The 21st century learner requires an education that can be pursued anytime and anywhere and that is more aligned with the demands of a digital society. Online education not only assists students to success-fully integrate a workforce that is increasingly digital, but it helps them to become more comfortable with the use of technology in general and, hence, more prepared to be prolific digital citizens. The variety of settings portrayed in this volume attest to the unlimited opportunities afforded by online learning and serve as valuable evidence of its benefit for students’ educational experience. Moreover, these research efforts assist a more comprehensive reflection about the delivery of higher education in the context of online settings.
Author: Demetrios G. Sampson
Publisher: Springer Nature
ISBN: 303154207X
Category :
Languages : en
Pages : 273
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Book Description
Author: Avi Hofstein
Publisher: BRILL
ISBN: 9004503625
Category : Education
Languages : en
Pages : 445
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Book Description
The book consists of 16 chapters and 2 commentaries describing long term R&D projects in science and mathematics education conducted in the Department of Science Teaching, The Weizmann Institute of Science. Almost all the chapters describe long-term projects, some over the period of 50 years.
Author: Dirk Ifenthaler
Publisher: Springer Nature
ISBN: 3030473929
Category : Education
Languages : en
Pages : 464
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Book Description
The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. This volume provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analytics, (b) technological infrastructure and staff capabilities required, as well as (c) case studies that describe current practices and experiences in the use of data analytics in higher education.
Author: Pedro Isaias
Publisher: Springer Nature
ISBN: 3031664620
Category :
Languages : en
Pages : 285
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Book Description
