Preview

Informatics and education

Advanced search

Transformation of approaches in teaching information technologies to engineering students

https://doi.org/10.32517/0234-0453-2023-38-4-5-13

Abstract

The main difference of the Industry 4.0 era is the global digitalization and the ever-increasing complexity of production systems. The successful digital transformation of the entire economy and individual enterprises requires the training of a new generation of engineers. The well-known models of information technology based training, which are widely used today, are distance learning and blended learning. And if these approaches have already been methodically worked out, IT training in engineering specialties raises a lot of questions. The article provides a selective review of the literature on IT training for engineers. In particular, attention is focused on various existing approaches in the field of teaching programming, but it is emphasized that much remains to be implemented. It is obvious that modern digital technologies can radically change the methods of teaching and learning in IT. This means, first of all, that the development of a new theory of education is required, taking into account the prospects for total digitalization of all processes in the economy. The aim of the article is to study the transformation of approaches in IT training of engineering students and the vector of scientific developments in this direction.

About the Authors

R. A. Sabitov
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Candidate of Sciences (Engineering), Senior Research Fellow, Associate Professor at the Department of Dynamics of Processes and Control, Institute for Computer Technologies and Information Protection



G. S. Smirnova
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Candidate of Sciences (Engineering), Docent, Associate Professor at the Department of Dynamics of Processes and Control Institute for Computer Technologies and Information Protection



N. Yu. Elizarova
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Candidate of Sciences (Economics), Docent, Associate Professor at the Department of Dynamics of Processes and Control, Institute for Computer Technologies and Information Protection



Sh. R. Sabitov
Kazan (Volga region) Federal University
Russian Federation

Candidate of Sciences (Engineering), Docent, Associate Professor at the Department of Data Analysis and Operations Research, Institute of Computational Mathematics and Information Technologies



A. V. Eponeshnikov
Innopolis University
Russian Federation

a master student of the education program “Informatics and Computer Engineering”, profile “Data analysis and artificial intelligence”



I. S. Grigoriev
Private Institution for the Digitalization of the Nuclear Industry “Cifrum”
Russian Federation

Head of Analytics in the Administrative Support Group of the Project Management Office



A. A. Kutdusov
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Aydar A. , a 4th year student of the education program “Applied Informatics”, profile “Applied Informatics in Economics”



References

1. Grigoriev S. G., Sabitov R. A., Smirnova G. S., Sabitov Sh. R. The concept of the formation and development of a digital intellectual ecosystem of blended university learning. Informatics and Education. 2020;35(5):15–23. EDN: LMWOIT. DOI: 10.32517/0234-0453-2020-35-5-15-23

2. Vostroknutov I., Grigoriev S., Surot L. Modern challenges of humanity and the search for a new paradigm of education. Proc. 4th Int. Conf. on Informatization of Education and E-learning Methodology: Digital Technologies in Education (IEELM-DTE 2020). Krasnoyarsk, 2020;2770:49–54. EDN: QRXNZM. Available at: https://ceur-ws.org/Vol-2770/paper7.pdf

3. Sabitov R., Smirnova G., Sabitov S., Elizarova N., Korobkova E. Planning, building and development distributed integrated blended education ecosystem at different levels. Proc. 4th Int. Conf. on Informatization of Education and E-learning Methodology: Digital Technologies in Education (IEELM-DTE 2020). Krasnoyarsk, 2020;2770:79–86. EDN: KIYFBN. Available at: https://ceur-ws.org/Vol-2770/paper11.pdf

4. Sabitov R. A., Smirnova G. S., Elizarova N. U., Korobkova E. A., Sabitov Sh. R., Sirazetdinov B. R. The concept of integrated university training in technical specialties in the context of digital transformation. Informatics and Education. 2018;(10):20–28. (In Russian.) EDN: YQVPXV. DOI: 10.32517/0234-0453-2018-33-10-20-28

5. Savicheva I. A. Contemporary theories of learning. CITISE. 2019;(3):1–15. (In Russian.) EDN: TWWOIX

6. Fasolya A. A., Guzeev M. S., Uvarina N. V. Features of the organization of the educational process in the context of the constructivist concept of learning. Contemporary Higher Education: Innovative Aspects. 2021;13(1):86–92. (In Russian.) EDN: WKUNFR. DOI: 10.7442/2071-9620-2021-13-1-86-92

7. Prince M. J., Felder R. M. Inductive teaching and learning methods: Definitions, comparisons, and research bases. The Journal of Engineering Education. 2006;95(2):123–138. DOI: 10.1002/j.2168-9830.2006.tb00884.x

8. Garzón J., Kinshuk, Baldiris S., Gutiérrez J., Pavón J. How do pedagogical approaches affect the impact of augmented reality on education? A meta-analysis and research synthesis. Educational Research Review. 2020;31(3):1–19. DOI: 10.1016/j.edurev.2020.100334

9. Schunk D. H. Learning theories: An educational perspective. Boston, Pearson; 2012. 561 p.

10. Vygotcky L. S. Mind in society: Development of higher psychological processes. Cambridge, Massachusetts, Harvard University Press; 1978. 159 p.

11. Hein G. Constructivist learning theory. CECA (International Committee of Museum Educators) Conference. Jerusalem, Israel; 1991:1–10. Available at: https://www.exploratorium.edu/IFI/resources/constructivistlearning.html

12. Moreno L., González C., Castilla I., González E., Sigut J. Applying a constructivist and collaborative methodology approach in engineering education. Computers & Education. 2007;49(3):891–915. DOI: 10.1016/j.compedu.2005.12.004

13. Sweller J. Cognitive load during problem solving: Effects on learning. Cognitive Science. 1988;12(2):257–285. DOI: 10.1016/0364-0213(88)90023-7

14. Yilmaz K. Constructivism: Its theoretical underpinnings, variations, and implications for classroom instruction. Educational Horizons. 2008;86(3):161–172. Available at: https://www.jstor.org/stable/42923724

15. Siemens G. Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning. 2005;(1):1–9. Available at: https://www.itdl.org/Journal/Jan_05/article01.htm

16. Siemens G. Knowing knowledge. 2006. 176 p. Available at: https://amysmooc.files.wordpress.com/2013/01/knowingknowledge_lowres-1.pdf

17. Krivchanskaya A. V., Shpakova A. E. The future of professions in Industry 4.0. Socio-Psychological, Managerial and Marketing Directions of Digital Economy Development. Proc. of Int. Scientific and Practical Conferences on the Problems of Social Psychology, Personnel Management, Management and Marketing. Moscow, SVIVT LLC; 2018;2:22–37. (In Russian.) EDN: YGHDOR

18. Abramova O. А. Professions of the future: What competencies will be needed for employees? International Journal of Humanities and Natural Sciences. 2017;(11):102–105. (In Russian.) EDN: ZWJJLX

19. Abrami Ph. C., Bernard R. M., Borokhovski E., Wade C. A., Surkes M. A., Tamim R., Zhang D. Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of Educational Research. 2008;78(4):1102–1134. DOI: 10.3102/0034654308326084

20. Abrami Ph., Bernard R., Borokhovski E., Waddington D. I., Wade C. A., Persson T. Strategies for teaching students to think critically: A meta-analysis. Review of Educational Research. 2015;85(2):275–314. DOI: 10.3102/0034654314551063

21. Dahl A. J., Peltier J. W., Schibrowsky J. A. Critical thinking and reflective learning in the marketing education literature: A historical perspective and future research needs. Journal of Marketing Education. 2018;40(2):101–116. DOI: 10.1177/0273475317752452

22. Flórez F. B., Casallas R., Hernández M., Reyes A., Restrepo S., Danies G. Changing a generation’s way of thinking: Teaching computational thinking through programming. Review of Educational Research. 2017;87(4):834–860. DOI: 10.3102/0034654317710096

23. Olszewski B., Crompton H. Educational technology conditions to support the development of digital age skills. Computers & Education. 2020;150(C):103849. DOI: 10.1016/j.compedu.2020.103849

24. Sabitov R. A., Smirnova G. S., Sirazetdinov B. R., Elizarova N. U., Eponeshnikov A. V. The concept of intelligent tutoring for enterprise staff as a component of integrated manufacturing control system development. Advances in Systems Science and Applications. 2017;17(1):1–8. EDN: XMOIPW

25. Sabitov R. A., Smirnova G. S., Elizarova N. Yu., Sabitov Sh. R., Eponeshnikov A. V., Grigoriev I. S. The transformation education concept in the digital ecosystem of a territorial production cluster. Informatics and Education. 2022;37(6):5–11. (In Russian.) EDN: PCQODC. DOI: 10.32517/0234-0453-2022-37-6-5-11

26. Cartaxo S. J. M., Silvino P. F. G., Fernandes F. A. N. Transient analysis of shell-and-tube heat exchangers using an educational software. Education for Chemical Engineers. 2014;9(3):e77–e84. DOI: 10.1016/j.ece.2014.05.001

27. Dos Santos M. T., Vianna Jr. A. S., Carillo Le Roux G. A. Programming skills in the industry 4.0: Are chemical engineering students able to face new problems? Education for Chemical Engineers. 2018;22(1):69–76. DOI: 10.1016/j.ece.2018.01.002

28. Martín Á., Mato F. A. Hint: An educational software for heat exchanger network design with the pinch method. Education for Chemical Engineers. 2008;3(1):e6–e14. DOI: 10.1016/j.ece.2007.08.001

29. Castier M., Amer M. M. XSEOS: An evolving tool for teaching chemical engineering thermodynamics. Education for Chemical Engineers. 2011;6(2):e62–e70. DOI: 10.1016/j.ece.2010.12.002

30. Martín Á., Bermejo M. D., Mato F. A., Cocero M. J. Teaching advanced equations of state in applied thermodynamics courses using open source programs. Education for Chemical Engineers. 2011;6(4):e114–e121. DOI: 10.1016/j.ece.2011.08.003

31. Rahman N. A., Hussain M. A., Jahim J. M., Kamaruddin S. K., Sheikh Abdullah S. R., Kamaruddin M. Z. F. Integrating computer applications into undergraduate courses: Process control and utility design. Education for Chemical Engineers. 2013;8(2):e45–e57. DOI: 10.1016/j.ece.2013.02.003

32. Ospino J., Sánchez M. E., Secchi A. R. Implementation of a block-oriented model library for undergraduate process control courses in EMSO simulator. Education for Chemical Engineers. 2017;18(1):45–57. DOI: 10.1016/j.ece.2016.08.002

33. Koolmanojwong S., Boehm B. Educating software engineers to become systems engineers. Proc. 24th Conf. Software Engineering Education and Training (CSEE&T). Honolulu, HI, USA, 2011:209–218. DOI: 10.1109/CSEET.2011.5876089


Review

For citations:


Sabitov R.A., Smirnova G.S., Elizarova N.Yu., Sabitov Sh.R., Eponeshnikov A.V., Grigoriev I.S., Kutdusov A.A. Transformation of approaches in teaching information technologies to engineering students. Informatics and education. 2023;38(4):5-13. (In Russ.) https://doi.org/10.32517/0234-0453-2023-38-4-5-13

Views: 314


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)