Tetiana Derkach. Electronic Resources in Teaching Basic Chemical Disciplines at Universities.

(2016) Science and education, 12, 99-109. Odessa.

Tetiana Derkach,
Doctor of Pedagogy, associate professor,
Department of Industrial Pharmacy,
Kyiv National University of Technologies and Design,
2, Nemirovicha-Danchenko Str., Kyiv, Ukraine


ELECTRONIC RESOURCES IN TEACHING BASIC CHEMICAL DISCIPLINES AT UNIVERSITIES


SUMMARY:

The article goal is to examine the actual state of the use of electronic resources in teaching chemical disciplines, as well as to justify common approaches to the expedient choice of means of information and communication technology for learning. To achieve this goal, the following methods were used: questionnaire, survey of experts to determine the real state of the use of electronic resources in teaching chemical sciences; classification of available electronic resources to rank their expedience; computer testing to determine personal characteristics of the educational process participants and statistical methods using SPSS software package to interpret the experimental data obtained. The statistical analysis included a comparison of samples, data validation, dispersion tests for statistical significance difference (ANOVA package), and correlation analysis for metric (Pearson‟s statistics) and rank (W Kendall‟s statistics) variables. The actual state of the use of e- resources in teaching chemical disciplines was studied. Various parameters, such as functionality, demand for the use of a given resource in accordance with expert‟s opinion and correlations with students‟ preferred learning styles, were used for the classification of e-resources and for the identification of several groups for further analysis. A significant discrepancy between the necessary provision of learning process with e-resources and the real state of the problem was established on the base of experts‟ opinions. Two important aspects of the contradictions were revealed, namely the teachers recognize the need of usage of different types of e-resources but do not use some of them in their practice. The appraisal of expediency of the use of certain eresources is significantly different from the viewpoint of students and faculty. This creates prerequisites for reducing the effectiveness of the use of e-resources.


KEYWORDS:

higher education, basic chemical disciplines, learning style, information and communication technology, electronic resources.


FULL TEXT:

 


REFERENCES:

1. Bulhakova, N. B. (2010). Vykladatska diialnist v umovakh informatsiinoho suspilstva [Teaching in information society]. Visnyk NAU. Seriia: Pedahohika. Psykholohiia. – Bulletin of NAU. Series: Pedagogy. Psychology, 3, 13-19 [in Ukrainian].
2. Kozlakova, H. O. Vprovadzhennia informatsiinokomunikatsiinykh tekhnolohii u navchalnyi protses vyshchoi shkoly: analiz stanu, problemy, perspektyvy [Application of information and communication technologies to the educational process of higher education: analysis, problems and prospects]. Visnyk NTUU «KPI» – Bulletin of NTU "KPI", 2009, 3, 102-107 [in Ukrainian].
3. Akhmetov, M. A. (2012). Lichnostno orientirovannoe obuchenie khimii. Virtualnaia khimicheskaia shkola [Personality-centered teaching chemistry. Virtual Chemical School]. Retrieved from: http://www.maratakm.ru/loohim.htm [in Russian].
4. Bilak, Yu. Yu. (2014). Tekhniko-dydaktychni aspekty vykorystannia informatsiino-komunikatsiinykh tekhnolohii u navchalnomu protsesi universytetu [Technical and didactic aspects of the use of information and communication technologies in University educational process]. Nauka i osvita – Science and Education, 3, 18- 23 [in Ukrainian].
5. Özyurt, Ö. (2015). Learning style based individualized adaptive e-learning environments: Content analysis of the articles published from 2005 to 2014. Computers in Human Behavior, 52, 349-358 [in English].
6. Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior, 55, 1185-1193. [in English].
7. Sung, Y.-T. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252-275. [in English].
8. Chen, J. A., Tutwiler, M. S., Metcalf, S. J., Kamarainen, A., Grotzer, T., Dede, C. (2016). A multiuser virtual environment to support students' self-efficacy and interest in science: A latent growth model analysis. Learning and Instruction, 41, 11-22 [in English].
9. Tsingos C., & Bosnic-Anticevich S., & Smith L. (2015). Learning styles and approaches: Can reflective strategies encourage deep learning? Currents in Pharmacy Teaching and Learning, 7, 492-504 [in English].
10. Derkach, T. M. (2011). Informatyzatsiia vykladannia khimii: vid teorii do praktyky: monohr. [Computerization of teaching Chemistry: from theory to practice: monograph]. D.: Vyd-vo DNU [in Ukrainian].
11. Josephsen, J. & Kristensen, A. K. (2006). Simulation of laboratory assignments to support students’ learning of introductory inorganic chemistry. Chemistry Education Research and Practice, 7, 4, 266–279 [in English].
12. Kozma, R. & Russell J. (2005). Multimedia Learning of Chemistry. Cambridge Handbook of Multimedia Learning. (pp. 409-429) R. Mayer (Ed.). New York: Cambridge University Press [in English].
13. Potkonjak, V., Gardner, M., Callaghan, V., P. Mattila (et.al.). (2016). Virtual laboratories for education in science, technology, and engineering: A review. Computers & Education, 95, 309-327 [in English].
14. Komulainen, T. M., & Enemark-Rasmussen, R., & Sin, G., Fletcher, J. P. (2012). Experiences on dynamic simulation software in chemical engineering education. Education for Chemical Engineers, 7, 153-162 [in English].
15. Derkach, T. M. (2013). Teoretychni ta metodychni osnovy pidhotovky maibutnikh fakhivtsiv khimichnykh spetsialnostei zasobamy informatsiinykh tekhnolohii: monohr. [Theoretical and methodological basics of training of future specialists of chemical specialties by means of information technologies: monograph]. D.: ART-PRES [in Ukrainian].
16. Landau, S. & Everitt, B. S. (2004). A Handbook of Statistical Analyses using SPSS. Chapman & Hall. USA [in English].
17. Felder, R. М. (2011). Index of learning styles (ILS). Retrieved from: http://www4.ncsu.edu/unity/lockers/users/f/felder/public/I LSpage.html [in English].
18. Felder, R. M. & Silverman, L. K. (1988). Learning and Teaching Styles in Engineering Education. Engineering Education, 78, 7, 674-681 [in English].
19. Derkach, T. M. (2012). Spryiniattia elektronnykh navchalnykh resursiv studentamy z riznymy styliamy navchannia [Perception of e-learning resources by students with different learning styles]. Naukovi Zapysky: Zb. nauk. statei NPU im. M. P. Drahomanova. – Naukovi Zapysky. – Scientific Transactions. – K. : Vyd-vo NPU im. M.P. Drahomanova, 100, 87–97 [in Ukrainian].
20. Derkach, T. M. (2013). Effektivnost kompiuternogo modelirovaniia pri izuchenii gazovykh zakonov v kurse «Neorganicheskaia khimiia» [The efficiency of the computer simulation to study gas laws within the course of inorganic chemistry]. Mezhdunarodnyi elektronnyi zhurnal «Obrazovatelnye tekhnologii i obshchestvo. – International Electronic Journal “Educational Technology & Society”, 2 (16), 345–361. – Retrieved from http://ifets.ieee.org/russian/periodical/ journal.html [in Russian].

         

       
   
   
         

 

©2024 Університет Ушинського. Всі права захищені, мабуть.