Data Warehouse Design to Support Social Media Analysis in a Big Data Environment

Valêncio, Carlos Roberto; Silva, Luis Marcello Moraes; Tenório, William; Zafalon, Geraldo Francisco Donegá; Colombini, Angelo Cesar; Fortes, Márcio Zamboti

doi:10.3844/jcssp.2020.126.136

Cited by 6 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the study results, it can be argued that the adjustment and personalization of curricula and courses are possible based on assessments, assignments, and students' interest in further obtaining a specialty. It is possible to model the educational process results depending on the capabilities and resource base of higher education institutions (Sichkarenko, 2018;Valêncio et al, 2020;Williamson, 2016). Furthermore, Big Data can be used to analyze attendance, finding methods to increase student interest in attending institutions.…”

Section: Discussionmentioning

confidence: 99%

Art education on big data and digital platforms base of higher education institutions

Prykhod’ko

Khil

Pobirchenko

et al. 2022

ijhs

View full text Add to dashboard Cite

The study aimed to identify Big Data components and the role of the digital platform used for art education. In addition, the aim can be considered a definition of participants' role in the educational process in a broad application of Big Data and digital platforms. In conducting the research, a comprehensive approach was actively used, as well as descriptive methods, qualitative and quantitative ways of monitoring. We used questionnaires to get the necessary information, studied the essential literary sources, collected and analyzed data, and summarized the results. After summarizing the information obtained, it became clear that the Big Data use and digital platforms for art education allowed the transfer of the classical educational process to digital media and created the necessary environment for intellectualizing the educational process. In the future, it is worth considering and searching for options on how to get rid of the gaps in the use of information technology for art education. Relevant issues can be viewed as the problems of security, confidentiality, ethical component, compatibility, data storage, and processing problems, and the acute experienced personnel shortage.

show abstract

Section: Discussionmentioning

confidence: 99%

Art education on big data and digital platforms base of higher education institutions

Prykhod’ko

Khil

Pobirchenko

et al. 2022

ijhs

View full text Add to dashboard Cite

show abstract

“…University). In addition, individual subjects of the educational process are persons hosting author's materials ((Zillion webinars) (Valêncio et al, 2020), as well as pedagogical workers introducing author's methods and developments into educational school programs. The so-called integrated models are distinguished as a separate approach in Big Data implementation (Bamiah et al, 2018), the content of which is reduced to the integration of classical educational processes with online learning.…”

Section: Literature Reviewmentioning

confidence: 99%

Problems and Prospects for the Art Education Development in Higher Educational Institutions Based on Big Data Technologies and Digital Platforms

Prykhod’ko¹,

Khil²,

Pobirchenko³

et al. 2022

JCT

View full text Add to dashboard Cite

In order to build an effective system of providing educational services in the art direction, it is necessary to possess an assessment of the results of Big Data initial implementation. Previously conducted studies on the specifics of implementing digital platforms in the educational art space are incomplete and insufficient. Most universities of different countries introduce these systems independently, and, therefore, there are no methods and principles for implementing such measures in the educational process. The purpose of the present research is to assess the role of Big Data and digital platforms in improving the quality and efficiency of art education. An analysis of assessing the implementation and functioning of digital systems in the leading higher educational institutions of the art direction in Poland, the Czech Republic, and Ukraine was carried out. This made it possible to generalize the experience gained and identify the main trends of this process. This made it possible to generalize the experience gained and identify the main trends of this process. In particular, 70% of students have a positive attitude towards using digital platforms that allow them to expand their awareness and informativeness, and 73% note these platforms as a source of obtaining available information. This made it possible to generalize the experience gained and identify the main tendencies of this process. As a result, modelling of the concept of using Big Data in higher education in the art direction has been presented. The main methods and examples of using Big Data in art education have been defined and characterized. Prospective directions for further application and implementation of innovative digital systems have been indicated. The use of research results creates opportunities for more flexible expansion of existing digital systems and the formation of new directions for subsequent implementation in the educational process. The research pointed to the most significant problem of comprehensive using Big Data by students due to ignorance and lack of awareness of the potential of Big Data in terms of planning, forecasting behavioral actions both in the process of learning, and in future professional activities. Further development of the research topic should focus on the quantitative and qualitative assessment of existing systems and the formation of a detailed methodology for the introduction of the latest educational services in the art education system.

show abstract

“…The real world is related to social reality that is reflected in the virtual world through technology and the internet of things. While humans generate is defined as large data (Valêncio et al, 2020), where Big Data is produced into cyberspace through technology; computers, artificial intelligence and the mobile internet (De Mauro et al, 2015).…”

Section: Big Datamentioning

confidence: 99%

Big Data in Educational Institutions using RapidMiner to Predict Learning Effectiveness

Madyatmadja¹,

Sembiring²,

Angin³

et al. 2021

Journal of Computer Science

View full text Add to dashboard Cite

Schools, universities, colleges and other educational institutions store a lot of data related to students and teachers as well as those related to education. You can analyze this data to gain insights that can improve the operational efficiency of your organization. Educational institution's needs based on student behavior, student exam results, each student's growth and changed educational regulations can be handled through statistical analysis. Big Data asphalt the way for innovative systems that students learn in exciting ways. The use of Learning Management Systems gave birth to a data explosion in higher education which became an innovation for the world of education, namely Big Data. These large amounts of digital data will provide information on what students and student behavior and involvement, their assessment, motivation and preferences, thus providing a large amount of data that can be mined for the learning experience. By utilizing the results of Big Data analysis in tertiary institutions, it can be obtained more insight into students, academics and the process in higher education so that it supports predictive analysis and increases decision making based on data which in turn can help improve the successful performance of students and institutions. This study using secondary data collection methods from journals or books. Method used is an analysis using the Decision Tree, Naive Bayes and K-Means. These results can predict the value obtained by students Learning Effectiveness in an educational institution, then a solution can be searched to increase the value of students in that institution.

show abstract

Data Warehouse Design to Support Social Media Analysis in a Big Data Environment

Abstract: Fortes. This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license.

Cited by 6 publications

References 24 publications

Art education on big data and digital platforms base of higher education institutions

Art education on big data and digital platforms base of higher education institutions

Problems and Prospects for the Art Education Development in Higher Educational Institutions Based on Big Data Technologies and Digital Platforms

Big Data in Educational Institutions using RapidMiner to Predict Learning Effectiveness

Contact Info

Product

Resources

About