Literaturnachweis - Detailanzeige
Autor/inn/en | Pratsri, Sajeewan; Nilsook, Prachyanun |
---|---|
Titel | Design on Big Data Platform-Based in Higher Education Institute |
Quelle | In: Higher Education Studies, 10 (2020) 4, S.36-43 (8 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1925-4741 |
Schlagwörter | Data Analysis; Higher Education; Information Systems; Data Collection; Privacy; Information Security; Online Courses; Instructional Design; Teaching Methods; Educational Change; Computer Software; Networks; Student Records; Distance Education; COVID-19; Pandemics Auswertung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Data capture; Datensammlung; Privatsphäre; Online course; Online-Kurs; Lesson concept; Lessonplan; Unterrichtsentwurf; Teaching method; Lehrmethode; Unterrichtsmethode; Bildungsreform; Schülerakte; Distance study; Distance learning; Fernunterricht |
Abstract | According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the security and privacy of Big Data and Big Data analysis in organizations, government agencies, and educational institutions also have an impact on the aspect of designing a Big Data platform for higher education institute (HEi). It is a digital learning platform that is an online instruction and the use of digital media for educational reform including a module provides information on functions of various modules between computers and humans. 1) Big Data architecture is a framework for an architecture of numerous data which consisting of Big Data Infrastructure (BDI), Data Storage (Cloud-based), processing of a computer system that uses all parts of computer resources for optimal efficiency (High-Performance Computing: HPC), a network system to detect the target device network. Thereafter, according to Hadoop's tools and techniques, when Big Data was introduced with Hadoop's tools and techniques, the benefits of the Big Data platform would provide desired data analysis by retrieving existing information, to illustrate, student information and teaching information that is large amounts of information to adopt for accurate forecasting. (As Provided). |
Anmerkungen | Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, OH M3J 3H7, Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: hes@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/hes |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |