Quantitative and Qualitative Analytics and Education in the Network Society

Authors

  • Rafał Głębocki Uniwersytet Humanistyczno-Przyrodniczy im. Jana Długosza w Częstochowie

DOI:

https://doi.org/10.16926/p.2018.27.19

Keywords:

Big & Small Data, (computer) communication, cyberspace, multimedia education, (network) information refining, quantitative and qualitative analysis, the Network Society

Abstract

The article aims to show the possibilities of improvement of online education services using analytical techniques. The Experience API system, which provides insight into learning processes – towards the analysis of educational experiences, may prove particularly useful. Contemporary "Explosion of Big Data" also applies to global multimedia education systems. The limited data volumes remain considerable – to a certain extent. Hence analytical and predictive activities may also include Small Data. Databases require network refining processes - using quantitative and qualitative analysis mechanisms. The described activities aim at (1) adapting technological services to the needs of learners and (2) supporting commercialization activities that pertain to multimedia education – including analytical processes. Designing IT processes in education captures the above activities into the coherent completeness of learning environments in the network society.

Published

2018-09-22

Issue

Section

Filozofia wychowania, pedagogika społeczna i specjalna