Machine Learning aplicado al rendimiento académico en educación superior: factores, variables y herramientas PDF Download
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Author: Contreras, Leonardo Emiro
Publisher: Editorial Universidad Distrital Francisco José de Caldas
ISBN: 9587875184
Category : Education
Languages : es
Pages : 260
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Book Description
Las herramientas de aprendizaje automático están siendo muy utilizadas por sus buenas aproximaciones al predecir el rendimiento académico de los estudiantes. Se analiza información de la última década con el objetivo de identificar los factores que influyen sobre el rendimiento académico en el nivel superior, a partir de modelos realizados por medio de técnicas de aprendizaje automático. Se plantea una clasificación en factores académicos, sociodemográficos, de aprendizaje en línea, de gestión académica, psicosocial y de entorno académico. También se identifican los algoritmos más usados en su predicción. Adicionalmente, la detección de las variables que más influyen en el fenómeno permitirá implementar algoritmos de Machine Learning pertenecientes a otras ramas de este campo. Así pues, al ahondar un poco más sobre la aplicación de herramientas de Machine Learning en educación superior, este trabajo servirá a docentes e investigadores que deseen investigar estos temas.
Author: Contreras, Leonardo Emiro
Publisher: Editorial Universidad Distrital Francisco José de Caldas
ISBN: 9587875184
Category : Education
Languages : es
Pages : 260
Get Book Here
Book Description
Las herramientas de aprendizaje automático están siendo muy utilizadas por sus buenas aproximaciones al predecir el rendimiento académico de los estudiantes. Se analiza información de la última década con el objetivo de identificar los factores que influyen sobre el rendimiento académico en el nivel superior, a partir de modelos realizados por medio de técnicas de aprendizaje automático. Se plantea una clasificación en factores académicos, sociodemográficos, de aprendizaje en línea, de gestión académica, psicosocial y de entorno académico. También se identifican los algoritmos más usados en su predicción. Adicionalmente, la detección de las variables que más influyen en el fenómeno permitirá implementar algoritmos de Machine Learning pertenecientes a otras ramas de este campo. Así pues, al ahondar un poco más sobre la aplicación de herramientas de Machine Learning en educación superior, este trabajo servirá a docentes e investigadores que deseen investigar estos temas.
Author: Vincent Tinto
Publisher: University of Chicago Press
ISBN: 0226922464
Category : Education
Languages : en
Pages : 314
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Book Description
In this 1994 classic work on student retention, Vincent Tinto synthesizes far-ranging research on student attrition and on actions institutions can and should take to reduce it. The key to effective retention, Tinto demonstrates, is in a strong commitment to quality education and the building of a strong sense of inclusive educational and social community on campus. He applies his theory of student departure to the experiences of minority, adult, and graduate students, and to the situation facing commuting institutions and two-year colleges. Especially critical to Tinto’s model is the central importance of the classroom experience and the role of multiple college communities.
Author: Bridget Somekh
Publisher: Routledge
ISBN: 1134129890
Category : Computers
Languages : en
Pages : 214
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Book Description
Bridget Somekh draws on her experience of researching the introduction of ICT into education to look at ICT development over the last twenty years. The book provides a fascinating, in-depth analysis of the nature of learning, ICT pedagogies and the processes of change for teachers, schools and education systems. It covers the key issues relating to the innovation of ICT that have arisen over this period, including: the process of change educational vision for ICT teacher motivation and engagement the phenomenon of ‘fit’ to existing practices systemic constraints policy and evaluation of its implementation students’ motivation and engagement the penetration of ICT into the home online learning and the ‘disembodied’ teacher.
Author: Roberto Todeschini
Publisher: John Wiley & Sons
ISBN: 3527337040
Category : Language Arts & Disciplines
Languages : en
Pages : 511
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Book Description
At last, the first systematic guide to the growing jungle of citation indices and other bibliometric indicators. Written with the aim of providing a complete and unbiased overview of all available statistical measures for scientific productivity, the core of this reference is an alphabetical dictionary of indices and other algorithms used to evaluate the importance and impact of researchers and their institutions. In 150 major articles, the authors describe all indices in strictly mathematical terms without passing judgement on their relative merit. From widely used measures, such as the journal impact factor or the h-index, to highly specialized indices, all indicators currently in use in the sciences and humanities are described, and their application explained. The introductory section and the appendix contain a wealth of valuable supporting information on data sources, tools and techniques for bibliometric and scientometric analysis - for individual researchers as well as their funders and publishers.
Author: Paul, Sudip
Publisher: IGI Global
ISBN: 1522585680
Category : Medical
Languages : en
Pages : 392
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Book Description
While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.
Author: David Nunan
Publisher: Cambridge University Press
ISBN: 0521840171
Category : Education
Languages : en
Pages : 17
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Book Description
"A comprehensively revised edition of Designing tasks for the communicative classroom"--Cover.
Author: Pablo Luis Peri
Publisher: Springer
ISBN: 3319241095
Category : Technology & Engineering
Languages : en
Pages : 275
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Book Description
This multi-authored volume contains peer-reviewed chapters from leading researchers and professionals in silvopastoral systems topic in Southern South America (Argentina, Chile and South Brazil). It is a compendium of original research articles, case studies, and regional overviews and summarizes the current state of knowledge on different components and aspects (pasture production, animal production, trees production, carbon sequestration, conservation) of silvopatoral systems in native forests and tree plantations. The main hypothesis of the book is that farmers have integrated tree and pasture/grassland species in their land use systems to reach higher production per unit of land area, risk avoidance, product diversification, and sustainability. These production systems also impact positively in main ecosystem processes. Management of these productive systems, Policy and Socioeconomic Aspects provide great opportunities and challenges for farmers and policy makers in our region. The book is unique on this subject in Southern South America and constitutes a valuable reference material for graduate students, professors, scientists and extensionists who work with silvopastoral systems.
Author: Marcelo Naiouf
Publisher: Springer
ISBN: 9783030848248
Category : Computers
Languages : en
Pages : 203
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Book Description
This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021. The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization.. *The conference was held virtually due to the COVID-19 pandemic.
Author: Tara Fenwick
Publisher: Routledge
ISBN: 1317746937
Category : Education
Languages : en
Pages : 175
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Book Description
This book joins a developing tradition of ‘practice-based’ conceptions of learning, but with a special interest in foregrounding the materiality of educational processes. It challenges educational views that are preoccupied with developing a particular kind of human subject, and argues that relations among materials – including texts and technologies, embodiment, tools and natural forces - are key to understanding how learning and knowing emerge in collective activity. To critically examine materiality, the chapter authors draw from orientations associated with actor-network theory, but push forward these conceptions to create an important in-between place of inquiry in sociomaterial/STS studies and education. Most express concerns about visions of education that emphasise output driven learning, performativity, standardisation and representationalist forms of knowledge. They use sociomaterial approaches to make visible the everyday, particular micro-dynamics of education and learning. Their analyses reveal that power relations and the politics that infuse pedagogy are by no means confined to human interests and ideologies, but are created and sustained through materialising processes that are enmeshed with the social and semiotic. Ultimately, these sociomaterial analyses open new directions and vocabularies for reconceptualising what is taken to be pedagogy, where and how pedagogical processes occur, and what effects they have on culture and society. This book was originally published as a special issue of Pedagogy, Culture & Society.
Author: Bill Cope
Publisher: Taylor & Francis
ISBN: 1317273362
Category : Education
Languages : en
Pages : 225
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Book Description
e-Learning Ecologies explores transformations in the patterns of pedagogy that accompany e-learning—the use of computing devices that mediate or supplement the relationships between learners and teachers—to present and assess learnable content, to provide spaces where students do their work, and to mediate peer-to-peer interactions. Written by the members of the "new learning" research group, this textbook suggests that e-learning ecologies may play a key part in shifting the systems of modern education, even as technology itself is pedagogically neutral. The chapters in this book aim to create an analytical framework with which to differentiate those aspects of educational technology that reproduce old pedagogical relations from those that are genuinely innovative and generative of new kinds of learning. Featuring case studies from elementary schools, colleges, and universities on the practicalities of new learning environments, e-Learning Ecologies elucidates the role of new technologies of knowledge representation and communication in bringing about change to educational institutions.
