Analysis of the State of Learning in University Students with the Use of a Hadoop Framework

Autor:	Joselin García-Ortiz, Santiago Sánchez-Viteri, Walter Gaibor-Naranjo, Milton Roman-Cañizares, William Villegas-Ch
Rok vydání:	2021
Předmět:	learning analytics Computer Networks and Communications business.industry Computer science analysis of data 05 social sciences Big data Learning analytics 050301 education Information technology 02 engineering and technology T58.5-58.64 Affect (psychology) Data science Critical moment Work (electrical) Hadoop 0202 electrical engineering electronic engineering information engineering Key (cryptography) Data analysis 020201 artificial intelligence & image processing State (computer science) business 0503 education
Zdroj:	Future Internet, Vol 13, Iss 140, p 140 (2021) Future Internet Volume 13 Issue 6
ISSN:	1999-5903
DOI:	10.3390/fi13060140
Popis:	Currently, education is going through a critical moment due to the 2019 coronavirus disease that has been declared a pandemic. This has forced many organizations to undergo a significant transformation, rethinking key elements of their processes and the use of technology to maintain operations. The continuity of education has become dependent on technological tools, as well as on the ability of universities to cope with a precipitous transition to a remote educational model. That has generated problems that affect student learning. This work proposes the implementation of a Big Data framework to identify the factors that affect student performance and decision-making to improve learning. Similar works cover two main research topics under Big Data in education, the modeling and storage of educational data. However, they do not consider issues such as student performance and the improvement of the educational system with the integration of Big Data. In addition, this work provides a guide for future studies and highlights new insights and directions for the successful use of Big Data in education. Real-world data were collected for the evaluation of the proposed framework, the collection of these being the existing limitation in all research due to generalized rejection of data consent.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3d6b0a35ce30dd0086d9fada6b22950 https://doi.org/10.3390/fi13060140 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.