Аннотации:
Distance learning today allows you
to create a system of mass continuous selflearning, universal exchange of information,
regardless of the presence of time and space
zones. For more effective online learning, it is
necessary to introduce artificial intelligence
technologies and methods for implementing
learning systems.
In this paper, the objects of research were:
1) the capabilities of the OSTIS open
semantic technology, the capabilities of the
IMS.OSTIS metasystem for organizing online
learning;
2) machine learning method – classification.
Results of the study:
1) an online course was organized using
the IMS.OSTIS metasystem of the OSTIS open
semantic technology;
2) for the analysis and visualization of
training data, a machine learning method is
implemented – classification.
The results of the implementation of the
online course were obtained using the semantic
technology for designing an intelligent learning
system: the IMS.OSTIS metasystem using the
graphical semantic code SCg. The OSTIS kernel
requires a machine with the Ubuntu operating
system installed, which is a GNU/Linux
distribution based on Debian GNU/Linux, an
operating system based on the Linux kernel.
The paper also shows an example of using
the machine learning method – classification.
This method allows you to classify data.
Intelligent processing and visualization of
data were carried out based on the results of
testing students in order to classify them into
letter categories A, B, C, D according to a set
of features: scores and points of the average
score. The high-level Python library Pandas
was used, this is a library for data analysis.
To visualize the results of data processing, the
Matplotlib library in Python was used
