Learning Analytics an der Hochschule. Hochschule im Wandel

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Publisher : GRIN Verlag
ISBN 13 : 9783963553981
Total Pages : 0 pages
Book Rating : 4.5/5 (539 download)

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Book Synopsis Learning Analytics an der Hochschule. Hochschule im Wandel by : Ingrid Schweitzer

Download or read book Learning Analytics an der Hochschule. Hochschule im Wandel written by Ingrid Schweitzer and published by GRIN Verlag. This book was released on 2024-02-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studienarbeit aus dem Jahr 2023 im Fachbereich Pädagogik - Pädagogische Psychologie, Note: 1,0, Veranstaltung: Gestaltung von Lehr- und Lernprozessen, Sprache: Deutsch, Abstract: Die Arbeit behandelt das menschliche Verhalten im Zusammenhang mit der Medienpädagogik und den neuen Technologien. Die Untersuchung konzentriert sich auf die Beantwortung der folgenden Forschungsfrage: Inwiefern kann Learning Analytics die Drop-out-Rate an den Hochschulen beeinflussen? Um diese Frage zu beantworten, werden in Kapitel 2 zuerst die Hochschule im Wandel und anschließend bereits integrierte digitale Lernelemente sowie Lernformate an nationalen und internationalen Hochschulen betrachtet. Im Anschluss daran wird die neue lehr- und lerntechnische Veränderung durch den Einsatz von künstlicher Intelligenz (KI) untersucht. Zuerst werden dazu die Generierung von Daten und deren Komplexität anhand einer Klassifizierungsmöglichkeit verdeutlicht. Es folgt eine ausführliche Betrachtung von, in der Vergangenheit bereits erfolgter Digitalisierung an der Hochschule im Verhältnis zur neuen KI-Revolution. Kapitel 3 widmet sich im Anschluss dem Thema Learning-Analytics. Nach einer allgemeinen Definition wird Learning-Analytics als prozessorientierter Kreislauf dargelegt. Danach werden Vor- und Nachteile von Learning-Analytics behandelt. Es folgen eine Darstellung des Einsatzes von Learning-Analytics in der Hochschule und die Präsentation einiger bereits in Verwendung befindlicher Programme. Die Darlegung endet mit einem Ausblick auf eine abstrakte Zukunftsvision, der Beantwortung der Frage und Vorschlägen für weiterführende Forschungsthemen. Im Bereich der psychologischen Pädagogik ist Studienerfolg ein wichtiger Faktor für Studierende, Lehrende und Bildungseinrichtungen. Studienerfolg wird definiert als akademische Leistung, Engagement in pädagogisch sinnvollen Aktivitäten, Ausdauer, Zufriedenheit, Erwerb angestrebter Kenntnisse, Fertigkeiten und Kompetenzen sowie das Erreichen von Bildungs

Learning Analytics: Implications for Higher Education

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Publisher : BoD – Books on Demand
ISBN 13 : 3743161788
Total Pages : 198 pages
Book Rating : 4.7/5 (431 download)

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Book Synopsis Learning Analytics: Implications for Higher Education by : Wolfgang Greller

Download or read book Learning Analytics: Implications for Higher Education written by Wolfgang Greller and published by BoD – Books on Demand. This book was released on 2017-03-29 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Adoption of Data Analytics in Higher Education Learning and Teaching

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Publisher : Springer Nature
ISBN 13 : 3030473929
Total Pages : 464 pages
Book Rating : 4.0/5 (34 download)

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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 and published by Springer Nature. This book was released on 2020-08-10 with total page 464 pages. 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

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Publisher : Routledge
ISBN 13 : 1351400525
Total Pages : 290 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 290 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

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Publisher : Springer
ISBN 13 : 1461433053
Total Pages : 203 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 203 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.

Developing Effective Educational Experiences through Learning Analytics

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Publisher : IGI Global
ISBN 13 : 1466699841
Total Pages : 380 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Developing Effective Educational Experiences through Learning Analytics by : Anderson, Mark

Download or read book Developing Effective Educational Experiences through Learning Analytics written by Anderson, Mark and published by IGI Global. This book was released on 2016-04-07 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of students’ learning experiences is a critical concern for all higher education institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Developing Effective Educational Experiences through Learning Analytics is a pivotal reference source that focuses on the adoption of data mining and analysis techniques in academic institutions, examining how this collected information is utilized to improve the outcome of student learning. Highlighting the relevance of data analytics to current educational practices, this book is ideally designed for researchers, practitioners, and professionals actively involved in higher education settings.

A Beginner’s Guide to Learning Analytics

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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: Fundaments, Applications, and Trends

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Publisher : Springer
ISBN 13 : 3319529773
Total Pages : 310 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 310 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 Explained

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Publisher : Taylor & Francis
ISBN 13 : 1317394569
Total Pages : 291 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 Taylor & Francis. This book was released on 2017-02-17 with total page 291 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.

Utilizing Learning Analytics to Support Study Success

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Publisher :
ISBN 13 : 9783319647937
Total Pages : 328 pages
Book Rating : 4.6/5 (479 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 . This book was released on 2019 with total page 328 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.

Practicable Learning Analytics

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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.

Learning Analytics Beyond the LMS: Enabling Connected Learning Via Open Source Analytics in 'the Wild'.

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Publisher :
ISBN 13 : 9781760519629
Total Pages : pages
Book Rating : 4.5/5 (196 download)

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Book Synopsis Learning Analytics Beyond the LMS: Enabling Connected Learning Via Open Source Analytics in 'the Wild'. by :

Download or read book Learning Analytics Beyond the LMS: Enabling Connected Learning Via Open Source Analytics in 'the Wild'. written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Analytics: a Metacognitive Tool to Engage Students

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Publisher : Sciendo Migration
ISBN 13 : 9788366675636
Total Pages : 200 pages
Book Rating : 4.6/5 (756 download)

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Book Synopsis Learning Analytics: a Metacognitive Tool to Engage Students by : Airina Volungevičienė

Download or read book Learning Analytics: a Metacognitive Tool to Engage Students written by Airina Volungevičienė and published by Sciendo Migration. This book was released on 2021-12-31 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research described in this book searches for the answers on how learners learn in todays open and networked learning environments and how learners, educators, institutions, and researchers can best support this process. There is sufficient data available on virtual learning environments, provided by learning analytics, on student and teacher behaviour and performance, but there is no common practice among teachers in higher education for using this data to improve the learning and teaching process. Learning analytics and data may inform and improve open and online learning from the point of view of teacher and learner awareness about their behaviour and their learning and teaching methods. The idea of describing learning analytics as a metacognitive tool, suggesting a development of metacognitive decision-making skills in teacher education, and focusing on learning design in higher education by using data from learning analytics served as the main focus of this research. The aim of the research was to create the model of application of learning analytics method as a metacognitive tool to enhance student success. The aim of the research was reached through theoretical and empirical objectives, namely: describing the learning analytics method as a metacognitive tool; revealing teacher metacognitive practices in application of learning analytics in teaching and learning, as well as learning design; and creating the model of application of learning analytics as a metacognitive tool to enhance student success. This research study is the result of the research project "Open Online Learning for Digital and Networked Society (3.3-LMT-K-712-01-0189)". The project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects" of Measure No. 09.3.3-LMT-K-712.

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

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Publisher : Springer Nature
ISBN 13 : 3030665151
Total Pages : 388 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Black Box Optimization, Machine Learning, and No-Free Lunch Theorems by : Panos M. Pardalos

Download or read book Black Box Optimization, Machine Learning, and No-Free Lunch Theorems written by Panos M. Pardalos and published by Springer Nature. This book was released on 2021-05-27 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.

Historische Textmuster im Wandel

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111086593
Total Pages : 421 pages
Book Rating : 4.1/5 (11 download)

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Book Synopsis Historische Textmuster im Wandel by : Susanne Haaf, Britt-Marie Schuster

Download or read book Historische Textmuster im Wandel written by Susanne Haaf, Britt-Marie Schuster and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-04 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt:

ICEL2016-Proceedings of the 11th International Conference on e- Learning

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Publisher : Academic Conferences and publishing limited
ISBN 13 : 1910810916
Total Pages : 311 pages
Book Rating : 4.9/5 (18 download)

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Book Synopsis ICEL2016-Proceedings of the 11th International Conference on e- Learning by : Prof. Dr. Rozhan M. Idrus and Dr Nurkhamimi Zainuddin

Download or read book ICEL2016-Proceedings of the 11th International Conference on e- Learning written by Prof. Dr. Rozhan M. Idrus and Dr Nurkhamimi Zainuddin and published by Academic Conferences and publishing limited. This book was released on 2016 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimization and Learning

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Publisher : Springer Nature
ISBN 13 : 3030856720
Total Pages : 377 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Optimization and Learning by : Bernabé Dorronsoro

Download or read book Optimization and Learning written by Bernabé Dorronsoro and published by Springer Nature. This book was released on 2021-08-16 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 2021. Due to the COVID-19 pandemic the conference was held online. The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on ​synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.