Learning Analytics In Higher Education
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Learning Analytics In Higher Education
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Author : Jaime Lester
language : en
Publisher: John Wiley & Sons
Release Date : 2017-12-21
Learning Analytics In Higher Education written by Jaime Lester and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-21 with Education categories.
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.
Big Data And Learning Analytics In Higher Education
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Author : Ben Kei Daniel
language : en
Publisher: Springer
Release Date : 2016-08-27
Big Data And Learning Analytics In Higher Education written by Ben Kei Daniel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Education categories.
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.
Learning Analytics In Higher Education
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Author : John Zilvinskis
language : en
Publisher: John Wiley & Sons
Release Date : 2017-09-28
Learning Analytics In Higher Education written by John Zilvinskis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with Education categories.
Gain an overview of learning analytics technologies in higher education, including broad considerations and the barriers to introducing them. This volume features the work of practitioners who led some of the most notable implementations, like: the Open Learning Initiative now at Stanford University, faculty-led projects at the University of Michigan, including ECoach and SLAM, the University of Maryland, Baltimore Countys Check My Activity and Indiana Universitys FLAGS early warning system and e-course advising initiatives. Readers will glean from these experiences, as well as from a national project in Australia on innovative approaches for enhancing student experience, an informed description of the role of feedback within these technologies, and a thorough discussion of ethical and social justice issues related to the use of learning analytics, and why higher education institutions should approach such initiatives cautiously, intentionally, and collaboratively. This is the 179th volume of the Jossey-Bass quarterly report series New Directions for Higher Education. Addressed to presidents, vice presidents, deans, and other higher education decision makers on all kinds of campuses, it provides timely information and authoritative advice about major issues and administrative problems confronting every institution.
Utilizing Learning Analytics To Support Study Success
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Author : Dirk Ifenthaler
language : en
Publisher: Springer
Release Date : 2019-01-17
Utilizing Learning Analytics To Support Study Success written by Dirk Ifenthaler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-17 with Education categories.
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 forsupporting 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.
Adoption Of Data Analytics In Higher Education Learning And Teaching
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Author : Dirk Ifenthaler
language : en
Publisher: Springer Nature
Release Date : 2020-08-10
Adoption Of Data Analytics In Higher Education Learning And Teaching written by Dirk Ifenthaler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-10 with Education categories.
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
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Author : Jaime Lester
language : en
Publisher: Routledge
Release Date : 2018-08-06
Learning Analytics In Higher Education written by Jaime Lester and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Education categories.
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 Information Systems For Higher Education
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Author : Xuân Khánh Nguyễn
language : en
Publisher:
Release Date : 2019
Learning Analytics Information Systems For Higher Education written by Xuân Khánh Nguyễn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Education, Higher categories.
Information Systems (IS) and technology has long transformed the landscape of education. Recently, learning analytics (LA) has emerged as a new educational technology and drawn the attention of academics, researchers, and administrators. LA can offer educational stakeholders useful feedback and insights about the process of learning and teaching. LA is rapidly being applied in different educational settings including higher education, often as an ad-hoc analysis without the guidance of a research. Although the literature has revealed a substantial base of LA techniques for analysing discourse, social interactions, and descriptive and predictive models, few institutions have been able to provide evidence around successful implementation of learning analytics information systems (LAIS). Despite the currently limited understanding of underlying information systems that support learning analytics, existing reports on LAIS implementations indicate their significant potential for improving learning and teaching. This research aims to examine the development and implementation of LAIS in the context of higher education. Notably, it attempts to address two overarching research questions: 1) What are the fundamentals of learning analytics and their applications? And 2) How to design underlying information systems that support learning analytics? First, the study investigates and contributes to better understanding of the concepts around data analytics in higher education, i.e., learning analytics (LA), academic analytics (AA), and educational data mining (EDM). This study is then focused on LA which centres around learning and teaching. The key dimensions of LA are determined to establish a multi-layered taxonomy of LA applications and a domain-specific ontology. Furthermore, the study proposes conceptual frameworks and roadmaps for applying LA in different learning environments. The study establishes a foundation for the development and implementation of LAIS by creating a set of design principles. Moreover, LAIS architecture is proposed for managing processes and technologies. An operational LAIS is developed and implemented at a university for demonstration and evaluation. The research offers not only several conceptual and system artefacts, but also empirical evidence of the opportunities and challenges facing the implementation of LAIS in higher education. This study was guided by the ontology-based design science research (ODSR) approach. The research proposes ODSR as an approach combining the forces of design science research (DSR) and ontology studies for knowledge accumulation and evolution. ODSR offers a semantic view of the research domain, and the use of ontologies provides considerable help throughout the process of creating and evaluating research artefacts in DSR. The ontologies are also considered as research artefacts created and evaluated through DSR cycles. As a DSR methodology, ODSR is multi-methodological and involves multiple iterations of observation, theory building, artefact design, development, demonstration, and evaluation. This thesis follows the “Ph.D. with publications” approach and contains six original research articles. The first article describes the research approach that was used in this study. The second article reviews the literature on learning analytics and related concepts in the context of higher education to provide a holistic view of the domain. The third article examines the critical dimensions of learning analytics and constructs a multi-layered taxonomy of learning analytics applications. The fourth article builds a domain-specific ontology of learning analytics to offer a semantic view. The fifth article derives the proposed conceptual framework for developing learning analytics and demonstrates its application in a specific context, i.e., educational games for learners with intellectual disabilities. The sixth paper develops a set of design principles for LAIS then demonstrates and evaluates them in a case study.
Learning Analytics Explained
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Author : Niall Sclater
language : en
Publisher: Taylor & Francis
Release Date : 2017-02-17
Learning Analytics Explained written by Niall Sclater and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-17 with Education categories.
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.
Learning Analytics Implications For Higher Education
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Author : Wolfgang Greller
language : de
Publisher: BoD – Books on Demand
Release Date : 2017-03-29
Learning Analytics Implications For Higher Education written by Wolfgang Greller and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-29 with Education categories.
This Special Issue gathers recent experiences and research examples concerning the use of Learning Analytics in higher education contexts of online and blended learning. All featured articles span across technically enabled data collection and processing/analysis, on the one hand, and, pedagogically motivated decision making by learners, teachers and other stakeholders on the other.
Learning Analytics For Achieving Quality Assurance In Higher Learning Institutions
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Author : Soo Mang Lim
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-20
Learning Analytics For Achieving Quality Assurance In Higher Learning Institutions written by Soo Mang Lim and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Education categories.
This book explores Learning Analytics (LA) programmes and practices in Malaysia as well as looking at the underlying forces, dilemmas and policy challenges for quality assurance in higher education institutions (HEIs). This chapters provide a comprehensive discussion of trends in academic quality assurance in higher education. It articulates a combination of theoretical issues and empirical analysis and offers a comprehensive guide to stakeholders in Management and Faculty on LA implementation in HEIs where the model in this book can be used to pave the way for a successful LA initiative. Learning Analytics is an emerging multidisciplinary technological practice with the ultimate goal of producing effective learning to improve students’ achievement in the tertiary level. The Learning Analytics model of Quality Assurance in this book is an essential guide for any faculty or manager in higher education, or researchers in higher education and learning analytics.