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Author : Ronnel B. King,Jiesi Guo,Ching Sing Chai
Publisher : Frontiers Media SA
Page : 170 pages
File Size : 46,7 Mb
Release : 2022-03-09
Category : Science
ISBN : 9782889746323
Author : Lorna Uden,Jane Sinclair,Yu-Hui Tao,Dario Liberona
Publisher : Springer
Page : 203 pages
File Size : 44,9 Mb
Release : 2014-07-29
Category : Education
ISBN : 9783319106717
This book constitutes the refereed proceedings of the Third International Workshop on Learning Technology for Education in Cloud, LTEC 2014, held in Santiago, Chile, in September 2014. The 20 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on MOOC for learning; learning technologies; learning in higher education; case study in learning.
Author : Sang Eun Woo,Louis Tay,Robert W. Proctor
Publisher : American Psychological Association (APA)
Page : 0 pages
File Size : 42,7 Mb
Release : 2020
Category : Psychology
ISBN : 1433831678
Big Data in Psychological Research provides an overview of big data theory, research design and analysis, collection methods, applications, ethical concerns, best practices, and future research directions for psychologists.
Author : Ben Williamson
Publisher : SAGE
Page : 257 pages
File Size : 51,9 Mb
Release : 2017-07-24
Category : Education
ISBN : 9781526416346
This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.
Author : Mian Ahmad Jan,Fazlullah Khan
Publisher : Springer Nature
Page : 682 pages
File Size : 47,7 Mb
Release : 2023-01-11
Category : Computers
ISBN : 9783031239472
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29–31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as “Big Data” and “Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Author : Alejandro Peña-Ayala
Publisher : Springer Nature
Page : 299 pages
File Size : 46,7 Mb
Release : 2023
Category : Artificial intelligence
ISBN : 9789819900268
This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!
Author : N. Niman
Publisher : Springer
Page : 307 pages
File Size : 51,7 Mb
Release : 2014-07-17
Category : Education
ISBN : 9781137331465
Instead of thinking about education as the mastery of a body of knowledge where the subject matter becomes the focus of our attention, The Gamification of Higher Education encourages us to think of it as a process that draws out the best in individuals and prepares them for happy, productive, and successful lives.
Author : Hong Jiao,Robert W. Lissitz,Anna Van Wie
Publisher : IAP
Page : 248 pages
File Size : 44,5 Mb
Release : 2018-12-01
Category : Education
ISBN : 9781641133289
The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large-scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices.
Author : Pranee Liamputtong
Publisher : Edward Elgar Publishing
Page : 247 pages
File Size : 55,5 Mb
Release : 2023-01-17
Category : Social Science
ISBN : 9781800376199
Explaining both the theoretical and practical aspects of doing qualitative research, the book uses examples from real-world research projects to emphasise how to conduct qualitative research in the social sciences. Pranee Liamputtong draws together contributions covering qualitative research in cultural and medical anthropology, sociology, gender studies, political science, criminology, demography, economic sciences, social work, and education.
Author : Joerg Zumbach,Douglas A. Bernstein,Susanne Narciss,Giuseppina Marsico
Publisher : Springer Nature
Page : 1483 pages
File Size : 50,6 Mb
Release : 2022-12-16
Category : Education
ISBN : 9783030287450
The International Handbook of Psychology Learning and Teaching is a reference work for psychology learning and teaching worldwide that takes a multi-faceted approach and includes national, international, and intercultural perspectives. Whether readers are interested in the basics of how and what to teach, in training psychology teachers, in taking steps to improve their own teaching, or in planning or implementing research on psychology learning and teaching, this handbook will provide an excellent place to start. Chapters address ideas, issues, and innovations in the teaching of all psychology courses, whether offered in psychology programs or as part of curricula in other disciplines. The book also presents reviews of relevant literature and best practices related to everything from the basics of course organization to the use of teaching technology. Three major sections consisting of several chapters each address “Teaching Psychology in Tertiary (Higher) Education”, “Psychology Learning and Teaching for All Audiences”, and “General Educational and Instructional Approaches to Psychology Learning and Teaching”.
Author : Peng Qi,Zhikui Chen
Publisher : Springer Nature
Page : 1031 pages
File Size : 42,8 Mb
Release : 2023-10-27
Category : Computers
ISBN : 9789464632385
This is an open access book. Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to the development of modern society. So big data will give greater flexibility to educational activities. Therefore, big data will give greater flexibility to educational activities, and more and more scholars provide new ideas for the above research directions. To sum up, we will hold an international academic conference on big data and information education. The 2023 4th International Conference on Big Data and Informatization Education (ICBDIE2023) was held on April 7–9, 2023 in Zhangjiajie, China. ICBDIE2023 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.
Author : Yinjun Zhang
Publisher : Springer Nature
Page : 432 pages
File Size : 42,7 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9783031631337
Author : Michael N. Jones
Publisher : Psychology Press
Page : 384 pages
File Size : 43,7 Mb
Release : 2016-11-03
Category : Computers
ISBN : 9781315413563
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, which necessitates both advances in our theoretical models and development of new methodological techniques. The primary goal of this volume is to present cutting-edge examples of mining large-scale and naturalistic data to discover important principles of cognition and evaluate theories that would not be possible without such a scale. This book also has a mission to stimulate cognitive scientists to consider new ways to harness big data in order to enhance our understanding of fundamental cognitive processes. Finally, this book aims to warn of the potential pitfalls of using, or being over-reliant on, big data and to show how big data can work alongside traditional, rigorously gathered experimental data rather than simply supersede it. In sum, this groundbreaking volume presents cognitive scientists and those in related fields with an exciting, detailed, stimulating, and realistic introduction to big data – and to show how it may greatly advance our understanding of the principles of human memory, perception, categorization, decision-making, language, problem-solving, and representation.
Author : Alan Bain,Nicholas Drengenberg
Publisher : Routledge
Page : 188 pages
File Size : 54,6 Mb
Release : 2016-02-26
Category : Education
ISBN : 9781317313458
Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching.
Author : Paul Hager,David Beckett
Publisher : Springer Nature
Page : 280 pages
File Size : 43,7 Mb
Release : 2019-10-11
Category : Education
ISBN : 9783030318390
This book centres on a broadened view of complexity that will enrich engagement with complexity in the social sciences. The key idea is to employ complexity theory to develop a holistic account of practice, agency and expertise. In doing so, the book acknowledges and builds upon the relational character of reductive accounts. It draws upon recent theoretical work on complexity, emergence and relationality to develop a novel account of practice, agency and expertise in and for workplaces. Biological, psychological and social aspects of these are integrated. This novel account overcomes problems in current views of practice, agency and expertise, which suffer from reductive, or fragmented, analyses, based upon individuals, groups, or networks. In retrieving the experiential richness of human activity – often esteemed as the basis of generative and creative life – this book shows how complexity both emerges from, and is, a non-reductive feature of, human experience, especially in daily work. “...an ambitiously wide-ranging volume, questioning the key tenets of respected approaches ..... and offering ..... ‘novel accounts’, which draw on features of complexity thinking.... ...But they go further than any of us in their argument that: ‘whatever reductive moves are made, they ‘flow’ from holistic accounts of relationality which have already affectively engaged the purposes of a co-present group.’ This is the intellectual contribution that is built consistently and persuasively across the chapters.” Professor Emerita Anne Edwards, Oxford University "Hager and Beckett have written a book that will challenge more commonly held notions of agency, practice, skills, and learning. Centering their argument on complexity theory or, as they prefer, complexity thinking, Hager and Beckett argue that it is through relations that we raise questions about, gather data from, and make working sense of the complexity that surrounds us. Groups then, particularly small groups, hold and implement agentive power. And what the authors call co-present groups—ones in which holistic relationality occurs socially, and affectively in distinctive places—“draw us closer to each other, and harness our normativity by enabling negotiability and reason-giving.” If your field of study involves anything remotely sociocultural in nature or if you are just interested in the complex ways we engage as humans with our worlds, you should find a place for this book in your library." Bob Fecho, Teachers College, Columbia University, New York NY, USA
