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Big Data, analítica del aprendizaje y educación basada en datos (Big Data, Learning Analytics & Data-driven Education).

2018
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Release : 2018
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Kind : eBook
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Book Synopsis Big Data, analítica del aprendizaje y educación basada en datos (Big Data, Learning Analytics & Data-driven Education). by : Daniel Domínguez Figaredo

Download or read book Big Data, analítica del aprendizaje y educación basada en datos (Big Data, Learning Analytics & Data-driven Education). written by Daniel Domínguez Figaredo. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: Spanish Abstract: Los procesos relacionados con la enseñanza y el aprendizaje generan una enorme cantidad de datos que pueden utilizarse con múltiples fines, entre los que destacan los de mejora de los propios métodos y prácticas educativas. La información recopilada en procesos como la interacción social entre estudiantes y docentes, la consulta de los recursos de apoyo al estudio o el envío de evidencias de aprendizaje, es de gran valor para los responsables del diseño de cursos, para los gestores de las instituciones educativas y también para los estudiantes. El uso adecuado de esos datos está relacionado con un conjunto de aspectos que abarcan campos diversos como la tecnología, la pedagogía, la ética y el derecho. En este capítulo se propone una aproximación a esos aspectos desde un enfoque mixto que combina lo conceptual y lo aplicado. En un principio se define el campo del big data desde una dimensión social, considerando las numerosas disciplinas que basan su actividad en los datos masivos. A continuación se pone el foco en el campo de la educación y especialmente en la analítica del aprendizaje, ámbito que atiende a la gestión, análisis y búsqueda de soluciones a partir de los datos digitales que se procesan durante la enseñanza. Dada la amplitud y trascendencia del campo de la analítica del aprendizaje, su explicación y dominio están entre los principales objetivos de este texto. El capítulo finaliza con una referencia al conjunto de problemas relacionados con la privacidad de los datos personales. Y por último se discuten algunos de los apriorismos más habituales en el tratamiento del big data y que dan lugar a interpretaciones equivocadas o que no se corresponden con lo que ocurre en realidad. El objetivo es dotar a los estudiantes y profesionales del campo de la educación de un conocimiento básico sobre el uso y gestión de datos masivos en procesos de aprendizaje, así como de herramientas metodológicas para utilizar esos datos en la mejora de sus cursos y prácticas de enseñanza.

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: 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.

A Beginner’s Guide to Learning Analytics

2021-04-19 Education
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Release : 2021-04-19
Genre : Education
Kind : eBook
Book Rating : 588/5 ( reviews)

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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. This book was released on 2021-04-19. 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.

Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan

2022-05-06 Education
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Release : 2022-05-06
Genre : Education
Kind : eBook
Book Rating : 463/5 ( reviews)

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Book Synopsis Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan by : Trajkovski, Goran

Download or read book Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan written by Trajkovski, Goran. This book was released on 2022-05-06. Available in PDF, EPUB and Kindle. Book excerpt: Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners’ journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner’s lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

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