Learning Analytics In Open And Distributed Learning
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| Author | : Paul Prinsloo |
| Publisher | : Springer Nature |
| Total Pages | : 131 |
| Release | : 2022-05-13 |
| Genre | : Education |
| ISBN | : 9811907862 |
This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the “data revolution” and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book’s conceptual rationale, the book discusses the potential, challenges and practices of learning analytics in various open and distributed contexts. A concluding chapter briefly summarises the chapters before providing a tentative future research agenda for learning analytics in open and distributed environments.
| Author | : Samira ElAtia |
| Publisher | : John Wiley & Sons |
| Total Pages | : 351 |
| Release | : 2016-09-20 |
| Genre | : Computers |
| ISBN | : 1118998219 |
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.
| Author | : Andrew Krumm |
| Publisher | : Routledge |
| Total Pages | : 275 |
| Release | : 2018-01-12 |
| Genre | : Education |
| ISBN | : 1317307860 |
Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiences—and the current state of the art in educational data mining and learning analytics more generally—by providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement.
| Author | : Theodore W. Frick |
| Publisher | : Routledge |
| Total Pages | : 136 |
| Release | : 2021-07-19 |
| Genre | : Education |
| ISBN | : 1000454770 |
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.
| Author | : Jay Liebowitz |
| Publisher | : CRC Press |
| Total Pages | : 248 |
| Release | : 2021-12-13 |
| Genre | : Education |
| ISBN | : 1000539008 |
"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work." —Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes. Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learning Scaling up learning analytics in an evidence-informed way The role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.
| Author | : Azevedo, Ana |
| Publisher | : IGI Global |
| Total Pages | : 296 |
| Release | : 2021-03-19 |
| Genre | : Education |
| ISBN | : 1799871045 |
The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.
| Author | : Jaime Lester |
| Publisher | : Routledge |
| Total Pages | : 290 |
| Release | : 2018-08-06 |
| Genre | : Education |
| ISBN | : 1351400525 |
Learning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical, theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators.
| Author | : Adnan Qayyum |
| Publisher | : Springer |
| Total Pages | : 131 |
| Release | : 2018-06-26 |
| Genre | : Education |
| ISBN | : 9811302987 |
This book is open access under a CC BY 4.0 license. This book describes the history, structure and institutions of open and distance education in six countries: Australia, Brazil, Canada, Germany, the UK and the US. It discusses how open and distance education is evolving in a digital age to reflect the needs and circumstances of national higher education systems in these countries, and explores the similarities and differences between the ways in which they are organized and structured. It is the first book to make such comparisons and draw conclusions about the nature of open and distance education in the context of various national higher education systems. In a digital era with growing use of online education as well as open and distance education, this book is particularly useful for policy-makers and senior administrators who want to learn about organizing and expanding open and distance education provision. It is also a valuable reference for researchers, academics and students interested in understanding the different approaches to open and distance education.
| Author | : Allison Littlejohn |
| Publisher | : Springer |
| Total Pages | : 114 |
| Release | : 2018-04-11 |
| Genre | : Education |
| ISBN | : 9811088934 |
This book situates Massive Open Online Courses and open learning within a broader educational, economic and social context. It raises questions regarding whether Massive Open Online Courses effectively address demands to open up access to education by triggering a new education order, or merely represent reactionary and unimaginative responses to those demands. It offers a fresh perspective on how we conceptualise learners and learning, teachers and teaching, accreditation and quality, and how these dimensions fit within the emerging landscape of new forms of open learning.
| Author | : Sian Bayne |
| Publisher | : MIT Press |
| Total Pages | : 274 |
| Release | : 2020-09-15 |
| Genre | : Education |
| ISBN | : 0262361078 |
An update to a provocative manifesto intended to serve as a platform for debate and as a resource and inspiration for those teaching in online environments. In 2011, a group of scholars associated with the Centre for Research in Digital Education at the University of Edinburgh released “The Manifesto for Teaching Online,” a series of provocative statements intended to articulate their pedagogical philosophy. In the original manifesto and a 2016 update, the authors counter both the “impoverished” vision of education being advanced by corporate and governmental edtech and higher education’s traditional view of online students and teachers as second-class citizens. The two versions of the manifesto were much discussed, shared, and debated. In this book, Siân Bayne, Peter Evans, Rory Ewins, Jeremy Knox, James Lamb, Hamish Macleod, Clara O'Shea, Jen Ross, Philippa Sheail and Christine Sinclair have expanded the text of the 2016 manifesto, revealing the sources and larger arguments behind the abbreviated provocations. The book groups the twenty-one statements (“Openness is neither neutral nor natural: it creates and depends on closures”; “Don’t succumb to campus envy: we are the campus”) into five thematic sections examining place and identity, politics and instrumentality, the primacy of text and the ethics of remixing, the way algorithms and analytics “recode” educational intent, and how surveillance culture can be resisted. Much like the original manifestos, this book is intended as a platform for debate, as a resource and inspiration for those teaching in online environments, and as a challenge to the techno-instrumentalism of current edtech approaches. In a teaching environment shaped by COVID-19, individuals and institutions will need to do some bold thinking in relation to resilience, access, teaching quality, and inclusion.
