Big Data En Educaci N
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Big Data En Educaci N
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Author : Ben Williamson
language : es
Publisher: Ediciones Morata
Release Date : 2018-09-25
Big Data En Educaci N written by Ben Williamson and has been published by Ediciones Morata this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Education categories.
Los macrodatos o la inteligencia de datos tienen el poder de transformar la educación y la investigación educativa. Gobiernos, investigadoras e investigadores y empresas están comprendiendo el potencial que ofrecen para informar ideas, políticas, contribuir al desarrollo de nuevas herramientas educativas y de formas innovadoras de realizar la enseñanza y de llevar a cabo investigaciones. Este libro focaliza en un imaginario poder de los macrodatos en educación que anima las actividades de quienes desarrollan aplicaciones educativas; en las potencialidades del análisis de datos a alta velocidad en tiempo real, en la supuesta objetividad de los algoritmos, en la posibilidad de aprehender una gran diversidad de actividades de aprendizaje, en el potencial para predecir o anticipar eventos futuros y en la posibilidad de poder dar forma al futuro a través de intervenciones tecnológicas específicas. Por tanto, se requieren nuevos tipos de alfabetización para que los datos personales y escolares se utilicen de manera informada y ética, pues entre otros asuntos, la próxima ola de desarrollos está diseñada para extraer datos mucho más íntimos de los cuerpos del alumnado, de sus rostros e incluso sus cerebros. Big Data en Educación pretende ser una introducción crítica a desarrollos tecnológicos para educación basados en macrodatos, en la inteligencia artificial y en el poder algorítmico. Entre los temas clave que aquí se abordan, cabe destacar: •El rol del aprendizaje y de los datos escolares en las instituciones educativas. •Una apreciación crítica del código, de los algoritmos y de las infraestructuras. •El auge de las aulas cognitivas y la aplicación práctica de algoritmos computacionales a entornos de aprendizaje •Los aspectos a tener en cuenta en los métodos de investigación digital. Una lectura esencial para cualquiera que estudie o trabaje en el contexto educativo actual.
Innovaci N E Inclusi N Educativa En La Era Del Big Data
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Author : Juan José Leiva Olivencia
language : es
Publisher: Ediciones Octaedro
Release Date : 2020-10-01
Innovaci N E Inclusi N Educativa En La Era Del Big Data written by Juan José Leiva Olivencia and has been published by Ediciones Octaedro this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Education categories.
En un mundo inestable y en permanente cambio social, especialmente en unos momentos donde la Covid-19 está influyendo de manera decisiva en los procesos de diseño e implementación de nuevos modelos y prácticas educativas, resulta imprescindible concebir y comprender la nítida vinculación entre innovación e inclusiva educativa en la era digital y del big data. En las instituciones educativas se genera una cantidad ingente de información académica y también híbrida, fruto del carácter multifacético e interdisciplinar de las acciones pedagógicas, de tal forma que es necesario compilar, ordenar, clasificar y realizar analíticas de aprendizaje que mejoren la calidad de los procesos formativos en los centros escolares. En este sentido, no se puede obviar que todas las tareas deben estar impregnadas de fuertes convicciones, fundamentos y evidencias científicas acerca de las mejores y mayores oportunidades de aprendizaje para todo el alumnado, impulsando y revitalizando la innovación educativa en la búsqueda continua de una educación inclusiva y de calidad para todos. Este libro supone un primer acercamiento pedagógico reflexivo y crítico en torno a las potencialidades de distintos ejes temáticos, que se relacionan de forma sinérgica para favorecer la equidad en los centros educativos, la evaluación de calidad de todos los parámetros organizativos y curriculares, y la apuesta por nuevos métodos y caminos de enseñanza donde lo virtual y lo tecnológico comienza a tener un papel predominante. La digitalización, la gamificación y los nuevos métodos educativos híbridos serán herramientas eficaces si promueven el aprendizaje cooperativo, el pensamiento crítico y democrático, y la construcción educativa inclusiva en todos los niveles y etapas.
Big Data Anal Tica Del Aprendizaje Y Educaci N Basada En Datos Big Data Learning Analytics Data Driven Education
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Author : Daniel Domínguez Figaredo
language : es
Publisher:
Release Date : 2018
Big Data Anal Tica Del Aprendizaje Y Educaci N Basada En Datos Big Data Learning Analytics Data Driven Education written by Daniel Domínguez Figaredo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
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.
Big Data En Educaci N
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Author : Ben Williamson
language : es
Publisher:
Release Date : 2018
Big Data En Educaci N written by Ben Williamson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Big Data In Education
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Author : Ben Williamson
language : en
Publisher: SAGE
Release Date : 2017-07-24
Big Data In Education written by Ben Williamson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-24 with Education categories.
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
Advancing The Power Of Learning Analytics And Big Data In Education
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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2021-03-19
Advancing The Power Of Learning Analytics And Big Data In Education written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-19 with Education categories.
The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.
Metodolog As Y Tecnolog As De La Informaci N En La Educaci N
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Author : Vicente Fray Romero Castro
language : es
Publisher: 3Ciencias
Release Date : 2018-08-03
Metodolog As Y Tecnolog As De La Informaci N En La Educaci N written by Vicente Fray Romero Castro and has been published by 3Ciencias this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with Computers categories.
Data Analytics Applications In Education
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Author : Jan Vanthienen
language : en
Publisher: CRC Press
Release Date : 2017-09-29
Data Analytics Applications In Education written by Jan Vanthienen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Business & Economics categories.
The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.
Big Data In Education Pedagogy And Research
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Author : Theodosia Prodromou
language : en
Publisher: Springer Nature
Release Date : 2021-10-04
Big Data In Education Pedagogy And Research written by Theodosia Prodromou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-04 with Education categories.
This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information. This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.
Big Data In Education Pedagogy And Research
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Author : Theodosia Prodromou
language : en
Publisher:
Release Date : 2021
Big Data In Education Pedagogy And Research written by Theodosia Prodromou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information. This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications. .