Ihor Puchkov, Vladyslav Sariienko, Volodymyr Sariienko. Didactic Foundations of Software Structuring in the Process of Teaching Science Disciplines and Mathematics at Pedagogical Universities.
(2017) Science and education, 6, 62-67. Odessa.
DOI:
Ihor Puchkov,
PhD (Candidate of Pedagogical Sciences), associate professor,
Vladyslav Sariienko,
PhD (Candidate of Pedagogical Sciences), associate professor,
Volodymyr Sariienko,
PhD (Candidate of Pedagogical Sciences), associate professor,
Department of Science Disciplines and Mathematics,
Donbas State Pedagogical University,
19, H. Batiuka, Sloviansk, Ukraine,
DIDACTIC FOUNDATIONS OF SOFTWARE STRUCTURING
IN THE PROCESS OF TEACHING SCIENCE DISCIPLINES
AND MATHEMATICS AT PEDAGOGICAL UNIVERSITIES
SUMMARY:
Science disciplines and Mathematics are considered to be a fundamental evidential and technical base of modern researches and production; they contribute to the formation of scientific worldview, intellectual development, provide acquisition of knowledge and skills necessary for working with a PC. When developing the technology of structuring software for teaching science disciplines and Mathematics at pedagogical universities one should regard that it must cover all structural components of the educational process (target, motivational, content, operative and regulative, as well as estimation and result). The relevance of the research is explained by the necessity of determining didactic foundations of software structuring in the process of teaching scientific disciplines and Mathematics, as it affects the level of future teachers’ professional competence. The paper aims to prove the necessity of software structuring as a way of achieving the optimal combination of different program teaching methods which provides the development of students’ self-study skills in the process of mastering scientific disciplines and Mathematics. The has been conducted the pedagogical experiment aimed at checking the efficiency of the developed technique of structuring the software for teaching science disciplines and Mathematics at the Department of Physics and Mathematics of Donbas State Pedagogical University involving 120 2nd -5 th year students divided into control and experimental groups. The checking was carried our according to the following criteria: motivational; cognitive; vocational. Pearson's chi-squared test (χ2) was used for the research outcomes verification. The carried out pedagogical experiment has proved the expediency of the developed technology of software structuring in the process of teaching scientific disciplines and Mathematics, which provides the increase of the level of students’ professional competence.
KEYWORDS:
pedagogical experiment, software, structuring, teaching, science disciplines, mathematics, professional competence .
FULL TEXT:
REFERENCES:
1. Burynska, N. M. (1999). Dydaktychni osnovy shkilnoho pidruchnyka z pryrodnychykh dystsyplin [Didactic fundamentals of school textbook of natural sciences]. Pedahohika i psykholohiya – Pedagogy and Psychology, 3, 23-28 [in Ukrainian].
2. Gagarina, L. G. (2008). Tekhnologiнa razrabotki programmnogo obespecheniнa [Technology of software development]. Moscow: ID «FORUM»; INFRA-M [in Russian].
3. Grabar, M. I. (1977). Primenenie matematicheskoi statistiki v pedagogicheskikh issledovaniiakh [Application of mathematical statistics in pedagogical research]. Moscow: Nauka [in Russian].
4. Nemov, R. S. (1995). Psikhologiia: Eksperimentalnaia psikhologiia i psikhodiagnostika [Psychology: Experimental psychology and psychodiagnostics]. Moscow: Prosveshchenie [in Russian].
5. Pedagogika [Pedagogy] (1983). Moscow: Prosveshchenie [Russian].
6. Puchkov, I. R. (2013). Dydaktychni zasady strukturuvannya prohramnoho zabezpechennya navchannya fizyko-matematychnykh dystsyplin u pedahohichnykh universytetakh [Didactic principles of structuring software for teaching physical and mathematical sciences at pedagogical universities]. Extended abstract of candidate’s thesis. Kharkiv: Khark. nats. ped. un-t im. H. S. Skovorody [in Ukrainian].
7. Puchkov, I. R. (2012). Sut i dydaktychni pryntsypy strukturuvannya prohramnoho zabezpechennya navchannya fizyko-matematychnykh dystsyplin [Essence and didactic principles of structuring software for teaching physical and mathematical sciences]. Humanizatsiya navchalno-vykhovnoho protsesu – Humanization of the educational process, 59, 350 [in Ukrainian].
8. Sariyenko, V. V. (2015). Rozvytok tvorchoi piznavalnoi diialnosti starshoklasnykiv u protsesi navchannya predmetiv pryrodnycho-matematychnoho tsyklu [Development of creative cognitive activity of senior pupils in the process of learning scientific disciplines and Maths]. Extended abstract of candidate’s thesis. Kharkiv: Khark. nats. ped. un-t im. H. S. Skovorody [in Ukrainian].
9. Stoliarov, V. I. (1996). Progress izmeneniia i ego poznanie. Logiko-metodologicheskie problemy [Progress of change and its cognition]. Moscow: Nauka [in Russian].
10. Chayka, V. (2002). Osnovy dydaktyky : Teksty lektsiy i zavdannya dlya samokontrolyu [Bases of didactics: texts of lectures and tasks for self-assessment]. Ternopil: Aston [in Ukrainian].
11. Halal, W. E. (1992). The information technology revolution, 26, 10-14. Washington [in English].
12. Langenberg, D. N. (1994). Information technology and the university: Integration strategies for the 21st сentury, 45, 323-325. Washington: J. Amer. Soc. Inform. Science [in English].