Big Data technology: Assessing the quality of the educational environment

Big Data technology: Assessing the quality of the educational environment

Big data

Intelligent systems

Data handling

Students

Information analysis

The paper shows the prospects for the development of digital technologies of Big Data, which are proposed to be used as a means of qualitative assessment of education, as well as its effectiveness. The use of intelligent systems that work at the level of the best teacher in the future will be available in any educational organization. This will make it possible to overcome the "educational inequality"and reduce educational barriers for people with disabilities. If the methodology of traditional teaching is created based on the personal experience of the teacher, then the methodology based on big data analysis technologies is the result of the experience of a huge number of users. With the help of big data, you can create methods that are adapted to a large number of students

personalize content

choose learning modes, that is, learning becomes adaptive and personality-oriented. The educational program is transformed from the traditional approved text format to the format of personalized online content, which dynamically changes depending on requests. In addition, approaches to monitoring and evaluating both the educational process itself and the results of education are changing. As a result of the application of Big Data technologies (multidimensional statistical analysis), new methods of forecasting are proposed for use, when a combination of known data predicts the desired unknown

structure identification and clustering

network analysis. Big data is a huge volume of information, big data analysis methods are the systematization of this information, but they can never replace the teacher who gives his own and "reads"the emotions of the student. Published under licence by IOP Publishing Ltd.

2001

Denisova, O.A.

2nd International Scientific and Practical Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2021, July 1, 2021

2021

conferencePaper

17426588

10.1088/1742-6596/2001/1/012027

http://dx.doi.org/10.1088/1742-6596/2001/1/012027