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Big Data and Learning Analytics in Higher Education

2016-08-27 Education
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Release : 2016-08-27
Genre : Education
Kind : eBook
Book Rating : 203/5 ( reviews)

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Book Synopsis Big Data and Learning Analytics in Higher Education by : Ben Kei Daniel

Download or read book Big Data and Learning Analytics in Higher Education written by Ben Kei Daniel. This book was released on 2016-08-27. Available in PDF, EPUB and Kindle. Book excerpt: ​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.

Adoption of Data Analytics in Higher Education Learning and Teaching

2020-08-10 Education
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Release : 2020-08-10
Genre : Education
Kind : eBook
Book Rating : 929/5 ( reviews)

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Book Synopsis Adoption of Data Analytics in Higher Education Learning and Teaching by : Dirk Ifenthaler

Download or read book Adoption of Data Analytics in Higher Education Learning and Teaching written by Dirk Ifenthaler. This book was released on 2020-08-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Analytics in Higher Education

2018-08-06 Education
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Release : 2018-08-06
Genre : Education
Kind : eBook
Book Rating : 525/5 ( reviews)

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Book Synopsis Learning Analytics in Higher Education by : Jaime Lester

Download or read book Learning Analytics in Higher Education written by Jaime Lester. This book was released on 2018-08-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Analytics in Higher Education

2017-12-21 Education
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Release : 2017-12-21
Genre : Education
Kind : eBook
Book Rating : 634/5 ( reviews)

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Book Synopsis Learning Analytics in Higher Education by : Jaime Lester

Download or read book Learning Analytics in Higher Education written by Jaime Lester. This book was released on 2017-12-21. Available in PDF, EPUB and Kindle. Book excerpt: Learning analytics (or educational big data) tools are increasingly being deployed on campuses to improve student performance, retention and completion, especially when those metrics are tied to funding. Providing personalized, real-time, actionable feedback through mining and analysis of large data sets, learning analytics can illuminate trends and predict future outcomes. While promising, there is limited and mixed empirical evidence related to its efficacy to improve student retention and completion. Further, learning analytics tools are used by a variety of people on campus, and as such, its use in practice may not align with institutional intent. This monograph delves into the research, literature, and issues associated with learning analytics implementation, adoption, and use by individuals within higher education institutions. With it, readers will gain a greater understanding of the potential and challenges related to implementing, adopting, and integrating these systems on their campuses and within their classrooms and advising sessions. This is the fifth issue of the 43rd volume of the Jossey-Bass series ASHE Higher Education Report. Each monograph is the definitive analysis of a tough higher education issue, based on thorough research of pertinent literature and institutional experiences. Topics are identified by a national survey. Noted practitioners and scholars are then commissioned to write the reports, with experts providing critical reviews of each manuscript before publication.

Learning Analytics: Fundaments, Applications, and Trends

2017-02-17 Technology & Engineering
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Release : 2017-02-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 773/5 ( reviews)

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Book Synopsis Learning Analytics: Fundaments, Applications, and Trends by : Alejandro Peña-Ayala

Download or read book Learning Analytics: Fundaments, Applications, and Trends written by Alejandro Peña-Ayala. This book was released on 2017-02-17. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

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