Machine Learning aplicado al rendimiento académico en educación superior: factores, variables y herramientas

Machine Learning aplicado al rendimiento académico en educación superior: factores, variables y herramientas
Author: Contreras, Leonardo Emiro
Publisher: Editorial Universidad Distrital Francisco José de Caldas
Total Pages: 260
Release: 2023-11-04
Genre: Education
ISBN: 9587875184
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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.

Analítica de datos y rendimiento académico

Analítica de datos y rendimiento académico
Author: Leonardo Emiro Contreras Bravo
Publisher: Editorial Universidad Distrital Francisco José de Caldas
Total Pages: 241
Release: 2023-05-18
Genre: Computers
ISBN: 9587875214
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En la literatura se encuentran diversos medios que, según las investigaciones, facilitan o ayudan al proceso educativo, como los dispositivos móviles (tabletas y teléfonos) y los reproductores de música como medio de formación de los estudiantes; este proceso es conocido como Mobile Learning (M-Learning). De forma similar, se encuentran también los juegos como estrategia de enseñanza (Game-Learning o G-Learning), así como el uso de las potenciali-dades del aprendizaje electrónico (E-Learning) y de la enseñanza presencial, que dan origen al aprendizaje bimodal (B-Learning). La analítica del aprendizaje (learning analytics) es un nuevo paradigma desarrollado por la generación de un alto volumen de datos que requieren ser analizados por herramientas cada vez más sofisticadas, como el software de visualización, que ha incursionado en diferentes disciplinas como la física, la ingeniería, la biología y la medicina; el aprendizaje recibe la incursión debido a medios tecnológicos como internet y plataformas conocidas como sistemas de gestión de aprendizaje. En este documento se analiza la información bibliográfica, con el objetivo de identificar las herramientas, variables y campos que influyen sobre el rendimiento académico a nivel superior. El rendimiento académico es uno de los indicadores más estudiados por la comunidad científica en el ámbito educativo, a juzgar por la cantidad de trabajos que involucran las áreas de la psicología, la estadística y la ciencia de datos en los que se han establecido diversos modelos que permitan comprender este fenómeno de la vida académica.

New Digital Technology in Education

New Digital Technology in Education
Author: Wan Ng
Publisher: Springer
Total Pages: 236
Release: 2015-04-25
Genre: Education
ISBN: 3319058223
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This book addresses the issues confronting educators in the integration of digital technologies into their teaching and their students’ learning. Such issues include a skepticism of the added value of technology to educational learning outcomes, the perception of the requirement to keep up with the fast pace of technological innovation, a lack of knowledge of affordable educational digital tools and a lack of understanding of pedagogical strategies to embrace digital technologies in their teaching. This book presents theoretical perspectives of learning and teaching today’s digital students with technology and propose a pragmatic and sustainable framework for teachers’ professional learning to embed digital technologies into their repertoire of teaching strategies in a systematic, coherent and comfortable manner so that technology integration becomes an almost effortless pedagogy in their day-to-day teaching. The materials in this book are comprised of original and innovative contributions, including empirical data, to existing scholarship in this field. Examples of pedagogical possibilities that are both new and currently practised across a range of teaching contexts are featured. ​

Pedagogy and Learning with ICT

Pedagogy and Learning with ICT
Author: Bridget Somekh
Publisher: Routledge
Total Pages: 214
Release: 2007-06-11
Genre: Computers
ISBN: 1134129890
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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.

Leaving College

Leaving College
Author: Vincent Tinto
Publisher: University of Chicago Press
Total Pages: 314
Release: 2012-04-27
Genre: Education
ISBN: 0226922464
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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.

Handbook of Bibliometric Indicators

Handbook of Bibliometric Indicators
Author: Roberto Todeschini
Publisher: John Wiley & Sons
Total Pages: 511
Release: 2016-08-22
Genre: Language Arts & Disciplines
ISBN: 3527337040
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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.

Digital Technologies in Designing Mathematics Education Tasks

Digital Technologies in Designing Mathematics Education Tasks
Author: Allen Leung
Publisher: Springer
Total Pages: 359
Release: 2016-10-12
Genre: Education
ISBN: 3319434233
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This book is about the role and potential of using digital technology in designing teaching and learning tasks in the mathematics classroom. Digital technology has opened up different new educational spaces for the mathematics classroom in the past few decades and, as technology is constantly evolving, novel ideas and approaches are brewing to enrich these spaces with diverse didactical flavors. A key issue is always how technology can, or cannot, play epistemic and pedagogic roles in the mathematics classroom. The main purpose of this book is to explore mathematics task design when digital technology is part of the teaching and learning environment. What features of the technology used can be capitalized upon to design tasks that transform learners’ experiential knowledge, gained from using the technology, into conceptual mathematical knowledge? When do digital environments actually bring an essential (educationally, speaking) new dimension to classroom activities? What are some pragmatic and semiotic values of the technology used? These are some of the concerns addressed in the book by expert scholars in this area of research in mathematics education. This volume is the first devoted entirely to issues on designing mathematical tasks in digital teaching and learning environments, outlining different current research scenarios.

Early Detection of Neurological Disorders Using Machine Learning Systems

Early Detection of Neurological Disorders Using Machine Learning Systems
Author: Paul, Sudip
Publisher: IGI Global
Total Pages: 376
Release: 2019-06-28
Genre: Medical
ISBN: 1522585680
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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.

Technology, Sustainability and Educational Innovation (TSIE)

Technology, Sustainability and Educational Innovation (TSIE)
Author: Andrea Basantes-Andrade
Publisher: Springer Nature
Total Pages: 492
Release: 2020-01-02
Genre: Technology & Engineering
ISBN: 3030372219
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This book presents the proceedings of International Conference on Knowledge Society: Technology, Sustainability and Educational Innovation (TSIE 2019). The conference, which was held at UTN in Ibarra, Ecuador, on 3–5 July 2019, allowed participants and speakers to share their research and findings on emerging and innovative global issues. The conference was organized in collaboration with a number of research groups: Group for the Scientific Research Network (e-CIER); Research Group in Educational Innovation and Technology, University of Salamanca, Spain(GITE-USAL); International Research Group for Heritage and Sustainability (GIIPS), and the Social Science Research Group (GICS). In addition, it had the endorsement of the RedCLARA, e-science, Fidal Foundation, Red CEDIA, IEEE, Microsoft, Business IT, Adobe, and Argo Systems. The term “knowledge society” can be understood as the management, understanding and co-creation of knowledge oriented toward the sustainable development and positive transformation of society. In this context and on the occasion of the XXXIII anniversary of the Universidad Técnica del Norte (UTN), the Postgraduate Institute through its Master of Technology and Educational Innovation held the I International Congress on Knowledge Society: Technology, Sustainability and Educational Innovation – TSIE 2019, which brought together educators, researchers, academics, students, managers, and professionals, from both the public and private sectors to share knowledge and technological developments. The book covers the following topics: 1. curriculum, technology and educational innovation; 2. media and education; 3. applied computing; 4. educational robotics. 5. technology, culture, heritage, and tourism development perspectives; and 6. biodiversity and sustainability.