Practicable Learning Analytics

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Practicable Learning Analytics

Author : Olga Viberg
Publisher : Springer Nature
ISBN 13 : 3031276469
Total Pages : 217 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Practicable Learning Analytics by : Olga Viberg

Download or read book Practicable Learning Analytics written by Olga Viberg and published by Springer Nature. This book was released on 2023-03-30 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about practicable learning analytics, that is able to become a successful part of practice, ultimately leading to improved learning and teaching. The aim of the book is to shift our perspective on learning analytics creation and implementation from that of “designing of” technology to that of “designing for” a system of practice. That is, any successful implementation of learning analytics requires a systematic approach, which the book explains through the lens of the Information Systems Artefact, constituting of the three interdependent artefacts: “technical”, “information” and “social”. The contributions of this book go beyond a consideration of particular humans such as teachers and students, and their individual activities to consider the larger systems of activity of which analytics become part of. The chapters included in this book present different cases of learning analytics implementation across countries, and the related opportunities and challenges related to generalizability of the results. The book is written for designers, students and educators of learning analytics who aim to improve learning and teaching through learning analytics.

A Beginner’s Guide to Learning Analytics

Author : Srinivasa K G
Publisher : Springer Nature
ISBN 13 : 3030702588
Total Pages : 326 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Beginner’s Guide to Learning Analytics by : Srinivasa K G

Download or read book A Beginner’s Guide to Learning Analytics written by Srinivasa K G and published by Springer Nature. This book was released on 2021-04-19 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.

Learning Analytics in Higher Education

Author : Jaime Lester
Publisher : Routledge
ISBN 13 : 1351400525
Total Pages : 200 pages
Book Rating : 4.3/5 (514 download)

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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 and published by Routledge. This book was released on 2018-08-06 with total page 200 pages. 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 the Classroom

Author : Jason M. Lodge
Publisher : Routledge
ISBN 13 : 1351113011
Total Pages : 320 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Learning Analytics in the Classroom by : Jason M. Lodge

Download or read book Learning Analytics in the Classroom written by Jason M. Lodge and published by Routledge. This book was released on 2018-09-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Data and Analytics to the Classroom presents a coherent framework for useful translation of learning analytics research for educational practice with world-leading researchers in the use of data and analytics in education applying this framework to a number of different educational domains. The aim is to provide concrete ways to apply data and analytics to everyday educational practice. Thi book serves not only as a practical tool, but also as an instructional guide for educators. Through discussion and illustration it provides educators and researchers alike with the proper tools and frameworks to effectively make sense of and use data and analytics in their everyday practice.

Learning Analytics

Author : Johann Ari Larusson
Publisher : Springer
ISBN 13 : 1461433053
Total Pages : 195 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Learning Analytics by : Johann Ari Larusson

Download or read book Learning Analytics written by Johann Ari Larusson and published by Springer. This book was released on 2014-07-04 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.

Learning Analytics Explained

Author : Niall Sclater
Publisher : Routledge
ISBN 13 : 1317394550
Total Pages : 278 pages
Book Rating : 4.3/5 (173 download)

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Book Synopsis Learning Analytics Explained by : Niall Sclater

Download or read book Learning Analytics Explained written by Niall Sclater and published by Routledge. This book was released on 2017-02-17 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.

Emerging Trends in Learning Analytics

Author :
Publisher : BRILL
ISBN 13 : 9004399275
Total Pages : 297 pages
Book Rating : 4.0/5 (43 download)

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Book Synopsis Emerging Trends in Learning Analytics by :

Download or read book Emerging Trends in Learning Analytics written by and published by BRILL. This book was released on 2019-05-07 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics.

Radical Solutions and Learning Analytics

Author : Daniel Burgos
Publisher : Springer Nature
ISBN 13 : 981154526X
Total Pages : 233 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Radical Solutions and Learning Analytics by : Daniel Burgos

Download or read book Radical Solutions and Learning Analytics written by Daniel Burgos and published by Springer Nature. This book was released on 2020-05-08 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.

Learning Analytics Methods and Tutorials

Author : Mohammed Saqr
Publisher : Springer
ISBN 13 : 9783031544668
Total Pages : 0 pages
Book Rating : 4.5/5 (446 download)

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Book Synopsis Learning Analytics Methods and Tutorials by : Mohammed Saqr

Download or read book Learning Analytics Methods and Tutorials written by Mohammed Saqr and published by Springer. This book was released on 2024-05-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources. This is an open access book.

Learning Analytics in Education

Author : David Niemi
Publisher : IAP
ISBN 13 : 1641133716
Total Pages : pages
Book Rating : 4.6/5 (411 download)

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Book Synopsis Learning Analytics in Education by : David Niemi

Download or read book Learning Analytics in Education written by David Niemi and published by IAP. This book was released on 2018-08-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners’ experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than “analyzing learning data”—it is about deeply understanding what learning activities work well, for whom, and when. Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners’ progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by “shiny” technologies that are disconnected from how human learning and development actually work.

Emergent Practices of Learning Analytics in K-12 Classrooms

Author : Kavakl? Uluta?, Nurdan
Publisher : IGI Global
ISBN 13 :
Total Pages : 290 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Emergent Practices of Learning Analytics in K-12 Classrooms by : Kavakl? Uluta?, Nurdan

Download or read book Emergent Practices of Learning Analytics in K-12 Classrooms written by Kavakl? Uluta?, Nurdan and published by IGI Global. This book was released on 2023-12-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Beginner's Guide to Learning Analytics

Author : Srinivasa K G
Publisher :
ISBN 13 : 9783030702595
Total Pages : 0 pages
Book Rating : 4.7/5 (25 download)

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Book Synopsis A Beginner's Guide to Learning Analytics by : Srinivasa K G

Download or read book A Beginner's Guide to Learning Analytics written by Srinivasa K G and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book A Beginner's Guide to Learning Analytics is designed to meet modern educational trends' needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers' bookshelves.

Data Mining and Learning Analytics

Author : Samira ElAtia
Publisher : John Wiley & Sons
ISBN 13 : 1118998235
Total Pages : 320 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Analytics: Fundaments, Applications, and Trends

Author : Alejandro Peña-Ayala
Publisher : Springer
ISBN 13 : 3319529773
Total Pages : 303 pages
Book Rating : 4.3/5 (195 download)

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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 and published by Springer. This book was released on 2017-02-17 with total page 303 pages. 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.

Learning Analytics Goes to School

Author : Andrew Krumm
Publisher : Routledge
ISBN 13 : 1317307860
Total Pages : 275 pages
Book Rating : 4.3/5 (173 download)

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Book Synopsis Learning Analytics Goes to School by : Andrew Krumm

Download or read book Learning Analytics Goes to School written by Andrew Krumm and published by Routledge. This book was released on 2018-01-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Utilizing Learning Analytics to Support Study Success

Author : Dirk Ifenthaler
Publisher : Springer
ISBN 13 : 331964792X
Total Pages : 341 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Utilizing Learning Analytics to Support Study Success by : Dirk Ifenthaler

Download or read book Utilizing Learning Analytics to Support Study Success written by Dirk Ifenthaler and published by Springer. This book was released on 2019-01-17 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students’ learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion: · Theoretical perspectives linking learning analytics and study success. · Technological innovations for supporting student learning. · Issues and challenges for implementing learning analytics at higher education institutions. · Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.

Machine Learning Paradigms

Author : Maria Virvou
Publisher : Springer
ISBN 13 : 3030137430
Total Pages : 223 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning Paradigms by : Maria Virvou

Download or read book Machine Learning Paradigms written by Maria Virvou and published by Springer. This book was released on 2019-03-16 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.