independent and creative activity as well as
logical thinking,
the pupil obtains clear scientific and technical
ideas about the object or phenomenon,
the experiment develops pupils’ positive and
realistic attitudes about the practice,
the experiment enables the discovery of rules,
verification of theory, and cognition at a higher
level,
the pupil becomes convinced of the usefulness of
results of the work,
the experiment develops the pupil’s ability to
express themselves while they learn how to aptly
depict the essence of the phenomenon,
the experiment develops the positive attitude of
pupils to a particular field while facilitating
interest in the profession of a certain
specialization.
The basic feature of an experiment is a relatively
precise knowledge of relevant conditions in which it
occurs and its repeatability with the same results.
Experiments that do not require complex conditions,
that are not time-consuming, and that have a clear
course and predictable results are suitable for the
educational purposes.
An experiment should not be confused with a
demonstration: during an experiment, the conditions
are actively influenced. If there is a phenomenon
presented in the teaching, it need not to be an
experiment but may be merely a demonstration
observed by the pupils. This statement is supported
by O. Šimik (Šimik, 2011), who states that the
experiment differs from the demonstration mainly in
its cognitive drive, but pupils themselves discover
new relations and connections. Any activities linked
to the manipulation with (learning) aids are then
inaccurately called an experiment. However, if
pupils manipulate substances, instruments or
devices, they do not necessarily perform an
experiment. Similarly, experimenting should not be
confused with laboratory work. It is possible to
realize the experiment in laboratory or natural
environments. At the same time, not every
laboratory activity has to be linked with
experiments.
In various aspects, the educational experiments
were considered by, e.g., (Song et al., 2016) or
(Dziabenko et al., 2013).
2 THE SOLUTION AND
RESEARCH GOALS
The science-driven solution lies in innovation and
technology, which currently manifest themselves
beyond the Czech Republic. It is possible to employ
a whole range of experimental systems based on IT,
mainly in the sciences.
However, experimenting is not linked solely to
this category of subjects. Therefore, it is appropriate
to examine the field of social science subjects as
well, or to examine the attitudes of teachers teaching
those subjects. A wide range of solutions emerge
from the stated facts, e.g., why do teachers employ
computers to support experiments in teaching? What
are their motives for possible non-use? What are the
differences between the teachers of science,
information science, mathematics and social
science? Do primary school teachers employ PCs for
experimenting to a lesser or greater extent? We
strive to answer the stated questions in the following
text.
Therefore, the research aimed to determine
whether basic school teachers use computers (or
ICT) in order to complete experiments. The aim was
not only to provide the answer yes or no but also to
explain the reasons that led to their actions – to
discover why they do or do not use computers.
The research focuses on both basic and
secondary schools. Both stated levels of education
are different in their essence – they have different
senses, and they employ different methods.
Therefore, we are aware of the fact that it is not
possible to perform a mere comparison. However,
the observation might provide results that may
become an impulse for innovative changes and
additional research.
3 FORMULATION OF
RESEARCH ASSUMPTIONS
AND METHODS USED
It was not possible to achieve the stated research
goals without transforming them into research
assumptions, which were verified by quantitative
methods. The research assumptions stated in the
following chapters were gradually formulated and
verified.
The research assumptions were verified via
research data obtained in 2016 while using methods
aimed to discover frequencies of responses on
individual items of the questionnaire. The