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

Abstract

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.

Proposal of a Model for the Analysis of the State of the Use of ICT in Education Applied to Technological Institutes of Higher Education

“…The inclusion of a BI will allow the establishment of a process capable of capturing data from a wide variety of academic sources to include a greater volume of data in the analysis and generate knowledge of these. By obtaining knowledge about each student's needs, it is possible to create processes that are not focused on a single activity or a period, and the BI will allow decisions to be made based on projections and simulations where the focus is, improve education and even personalize it depending on of the needs identified in the students [11,21].…”

“…However, including ICT in this educational model represents a greater challenge in relation to universities. Among the main reasons are the previously mentioned resources and the availability of students for the acquisition and management of ICT [11,12]. This work proposes the design of a framework that allows identifying the responses of the students of technology with respect to the use of ICT as educational tools.…”

Fake News Detection using Machine Learning: A Comprehensive Analysis

“…but there are not any agreed upon benchmark datasets forth fake information detection hassle. Records accrued need to be pre-processed-that is, cleaned, converted and incorporated earlier than it is able to go through training procedure [16]. The dataset that we used is defined below: LIAR: This dataset is accrued from truth-checking website PolitiFact via its API [15].…”

Combined with the Internet technology of college student training mode innovation and student management mechanism optimization

“…Meanwhile, under the background of the Internet, the traditional management mode of college students gradually exposed many shortcomings, firstly, the management idea and method are backward, under the background of the Internet, students have been influenced by the Internet for a long time, and the traditional management idea and method are difficult to efficiently manage the modern students [6][7][8], and secondly, the management method lacks the use of the Internet, the Internet is a double-edged sword, and the current management of students in colleges and universities does not make good use of the Internet, convenient and efficient. The Internet is a double-edged sword, the current management of university students does not utilize the convenient and efficient side of the Internet, for students in colleges and universities, the Internet is by no means a ferocious beast, but they are bound to need to contact the important tools [9][10].…”