Science for Education Today, 2020, vol. 10, no. 1, pp. 149–173

Development of environmental thinking and lean manufacturing skills in the course of mobile robotics

Soboleva E. V. 1 (Kirov, Russian Federation), Isupova N. I. 1 (Kirov, Russian Federation), Karaulova L. V. 2 (Kirov, Russian Federation), Nimatulaev M. M. 3 (Moscow, Russian Federation)
1 Vyatka State University
2 Kirov State Medical University
3 Federal state educational budget institution of higher education “Financial University under The Government of the Russian Federation ”

Introduction. The authors investigate the problem of developing innovative thinking among students in the field of Information Technologies. The purpose of the study is to reveal the characteristics of developing environmental thinking and lean manufacturing skills in the course of mobile robotics.
Materials and Methods. The research methodology is based on reviewing and analysis of scholarly literature on digital transformation of society, mobile learning, educational robotics, the use of software tools for development of thinking. The authors apply the methods of educational and psychological research. The empirical research is aimed at assessing personal traits, qualities and skills relevant for environmental thinking, which is a future-oriented competence.
Results. The importance of clarifying the concepts of ‘environmental thinking’ and ‘lean manufacturing’ is justified precisely in the context of using mobile robotics for various sectors of the digital economy as the basis for preparing sought-after professionals. The authors examine the characteristic features of using mobile technologies in order to improve the effectiveness of training in a digital school and career guidance. They contain organizational, methodological and technical aspects of mentoring activities. The study emphasizes the main factor, which determines the possibility of using mobile robotics resources to support the conditions for developing environmental thinking and resource conservation skills, as the bases for the introduction of innovations and meeting the challenges of automation, globalization, and competitiveness. The characteristic features of developing environmental thinking and lean manufacturing skills are revealed and illustrated by ‘smart’ design solutions, which meet the challenges of global digital transformation.
Conclusions. The article summarizes the characteristic features of developing ecological thinking and lean production skills in the course of designing a mobile automated device in the context of students’ creative, interdisciplinary, cognitive and research activities aimed at training highly qualified professionals for the future economy.


Mobile applications; Training; Digital technologies; Robotic systems; Cross-industry communication; Performance improvement; Resource conservation; Cross-professional competences

Prominence Percentile SciVal: 99.498 Education For Sustainability | Higher Education Institutions | Sustainability Science and Engineering


Development of environmental thinking and lean manufacturing skills in the course of mobile robotics

For citation:
Soboleva E. V., Isupova N. I., Karaulova L. V., Nimatulaev M. M. Development of environmental thinking and lean manufacturing skills in the course of mobile robotics. Science for Education Today, 2020, vol. 10, no. 1, pp. 149–173. DOI:
  1. Arís N., Orcos L. Educational robotics in the stage of secondary education: Empirical study on motivation and STEM skills. Education Sciences, 2019, vol. 9 (2), pp. 73. DOI:
  2. Afari E., Khine M. S. Robotics as an educational tool: Impact of lego mindstorms. International Journal of Information and Education Technology,2017, vol. 7 (6), pp. 437–442. DOI:
  3. Agranovich M. Educational resources: Saturation or satiety? Educational Studies Moscow, 2019, vol. 4, pp. 254–275. DOI:
  4. Allabouche K., Diouri O., Gaga A., El Amrani, El Idrissi, N. Mobile phones' social impacts on sustainable human development: Case studies, Morocco and Italy. Entrepreneurship and Sustainability Issues, 2016, vol. 4 (1), pp. 64–73. DOI:
  5. Bazylev D., Marguna A., Zimenkoa K., Kremleva A., Rukujzhaa E. Participation in robotics competition as motivation for learning. Procedia – Social and Behavioral Sciences, 2014, vol. 152, pp. 835–840. DOI:
  6. de Corte E. Learning design: Creating powerful learning environments for self-regulation skills. Educational Studies Moscow, 2019, vol. 4, pp. 30–46. DOI:
  7. Fritsch M., Wyrwich M. Regional emergence of start-ups in information technologies: The role of knowledge, skills and opportunities. Foresight and STI Governance, 2019, vol. 13 (2), pp. 62–71. DOI:
  8. Gault F. User innovation in the digital economy. Foresight and STI Governance, 2019, vol. 13 (3), pp. 6–12. DOI:
  9. Gilmanshina S. I., Sagitova R. N., Gilmanshin I. R. Science education: Development of environmental thinking. European Research Studies Journal XXI, 2018, vol. 21 (3), pp. 690–704. DOI:

10. Janelli M. E-Learning in theory, practice, and research. Educational Studies Moscow, 2018, no. 4, pp. 81–98. DOI: 

11. Jelatu S., Kurniawan Y., Kurnila V. S., Mandur K., Jundu R. Collaboration TPS learning model and m-learning based on android for understanding of trigonometry concepts with different cognitive style. International Journal of Instruction, 2019, vol. 12 (4), pp. 545–560. DOI:

12. Hamada M., Hassan M. An interactive learning environment for information and communication theory. Eurasia Journal of Mathematics, Science and Technology Education, 2017, vol. 13 (1), pp. 35–59. DOI:

13. Hamid S., Ijab M., Sulaiman H., Anwar R. & Norman A. Social media for environmental sustainability awareness in higher education. International Journal of Sustainability in Higher Education, 2017, vol. 18 (4), pp. 474–491. DOI: 

14. Haşıloğlu M. A., Keleş P. U., Aydın S. Examining environmental awareness of students from 6th, 7th and 8th classes with respect to several variables: “Sample of Agri city”. Procedia – Social and Behavioral Sciences, 2011, vol. 28, pp. 1053–1060. DOI:

15. Hill V., Knutzen K. B. Virtual world global collaboration: An educational quest. Information and Learning Science, 2017, vol. 118 (9/10), pp. 547–565. DOI:

16. Kandlhofer M., Steinbauer G. Evaluating the impact of educational robotics on pupils’ technical- and social-skills and science related attitudes. Robotics and Autonomous Systems, 2016, vol. 75, pp. 679–685. DOI:

17. Karakozov S. D., Ryzhova N. I. Information and education systems in the context of digitalization of education. Journal of Siberian Federal University. Humanities and Social Sciences, 2019, vol. 12 (9), pp. 1635–1647. DOI:

18. Kim C., Kim D., Yuan J., Hill R. B., Doshi P., Thai C. N. Robotics to promote elementary education pre-service teacher’s STEM engagement, learning and teaching. Computers and Education, 2015, vol. 91, pp. 14–31. DOI:

19. Kuzminov Ya., Sorokin P., Froumin I. Generic and specific skills as components of human capital: New challenges for education theory and practice. Foresight and STI Governance, 2019, vol. 13 (2), pp. 19–41. DOI:

20. Lavrinenko A., Shmatko N. Twenty-first century skills in finance: prospects for a profound job transformation. Foresight and STI Governance, 2019, vol. 13 (2), pp. 42–51. DOI:

21. Mora-Luis C. E., Martin-Gutierrez J. The change of educational processes, learning and teaching in engineering education. Eurasia Journal of Mathematics, Science and Technology Education, 2020, vol. 16 (3), em1828. DOI:

22. Ozogul G., Miller C. F., Reisslein M. School fieldtrip to engineering workshop: Pre-, post-, and delayed-post effects on student perceptions by age, gender, and ethnicity. European Journal of Engineering Education, 2019, vol. 44 (5), pp. 745–768. DOI:

23. Otto S., Kaiser F. G. Ecological behavior across the lifespan: Why environmentalism increases as people grow older. Journal of Environmental Psychology, 2014, vol. 40, pp. 331–338. DOI:

24. Perig A. V. Didactic student-friendly approaches to more effective teaching of the fundamentals of scientific research in a digital era of scientometrics. Eurasia Journal of Mathematics, Science and Technology Education, 2018, vol. 14 (12), em1632. DOI:

25. Ralph M., Stubbs W. Integrating environmental sustainability into universities. Higher Education, 2014, vol. 67, pp. 71–90. DOI:

26. Rejeb A., Keogh J. G., Treiblmaier H. Leveraging the internet of things and blockchain technology in supply chain management. Future Internet, 2019, vol. 11 (7), pp. 161. DOI:

27. Skurikhina J. A., Valeeva R. A., Khodakova N. P., Maystrovich E. V. Forming research competence and engineering thinking of school students by means of educational robotics. Eurasia Journal of Mathematics, Science and Technology Education, 2018, vol. 14 (12), em1639. DOI:

28. Soboleva E. V., Karavaev N. L., Shalaginova N. V., Perevozchikova M. S. Improvement of the robotics cross-cutting course for training of specialists in professions of the future. European Journal of Contemporary Education, 2018, vol. 7 (4), pp. 845–857. DOI:

29. Subheesh N. P., Sethy S. S. Learning through assessment and feedback practices: A critical review of engineering education settings. Eurasia Journal of Mathematics, Science and Technology Education, 2020, vol. 16 (3), em1829. DOI:

30. Taneja H., Webster J. G., Malthouse E. C., Ksiazek T. Media consumption across platforms: Identifying user-defined repertoires. New Media & Society, 2012, vol. 14 (6), pp. 951–968. DOI:

31. Tocháček D., Lapeš J., Fuglík V. Developing technological knowledge and programming skills of secondary schools students through the educational robotics projects. Procedia – Social and Behavioral Sciences, 2016, vol. 217, pp. 377–381. DOI:

32. Turbak F. Improving app inventor usability via conversion between blocks and text. Journal of Visual Languages & Computing, 2014, vol. 25 (6). pp. 1042–1043. DOI:

33. Wilmer H. H., Chein J. M. Mobile technology habits: patterns of association among device usage, intertemporal preference, impulse control, and reward sensitivity. Psychonomic Bulletin & Review, 2016, vol. 23, pp. 1607–1614. DOI:

34. Zafoschnig A. Smart ideas for engineers – the impact of emerging technologies on modern engineering education. Higher Education in Russia, 2018, vol. 27 (6), pp. 66–70. URL:

35. Zsóka A., Szerényi Z. M., Széchy A., Kocsis T. Greening due to environmental education? Environmental knowledge, attitudes, consumer behavior and everyday pro-environmental activities of Hungarian high school and university students. Journal of Cleaner Production, 2013, vol. 48, pp. 126–138. DOI: 

36. Aslamova E. A., Krivov M. V., Aslamova V. S. Expert system of the aggregate assessment of the level of industrial safety. Bulletin of Tomsk state University. Management, Computer Engineering and Computer Science, 2018, vol. 44, pp. 84–92. (In Russian) DOI:  URL:  

37. Danilina E. K. Control of formation of foreign language written and speech skills with the help of mobile applications: Theoretical and methodological model. Scientific Dialogue, 2018, no. 3, pp. 253–266. (In Russian) DOI: URL:

38. Varshavskaya E. Ya., Kotyrlo E. S. Graduates in engineering and economics: Between demand and supply. Questions of Education, 2019, no. 2, pp. 98–128. (In Russian) DOI: URL:

39. Ivanchenko D. A. Mobile technologies management in the information space of modern institute of higher education. Higher Education in Russia, 2014, no. 7, pp. 93–100. (In Russian) URL:

40. Osipova S. I., Gafurova N. V., Rudnitsky E. A. Formation of Soft skills in the conditions of social and public practices of students in the Implementation of the educational program in the ideology of the CDIO International initiative. Prospects of Science and Education, 2019, no. 4, pp. 91–101. (In Russian) DOI: URL:

41. Perelet R. A. Environmental issues in a digital economy. World of the New Economy, 2018, vol. 12 (4), pp. 39–45. (In Russian) DOI: URL:

42. Soboleva E. V., Perevozchikova M. S. Features of training future teachers to develop and use mobile game applications with educational content. Prospects of Science and Education, 2019, no. 5, pp. 428–440. (In Russian) DOI: URL:

43. Filatova M. N., Sheinbaum V. S., Shchedrovitsky P. G. Ontology of teamwork competency and approaches to its development at engineering university. Higher Education in Russia, 2018, vol. 27 (6), pp. 71–82. (In Russian) URL:

44. Chuikova L. Yu. Reflections on the role of information in the information model of nature. Astrakhan Bulletin of Environmental Education, 2018, no. 1, pp. 20–25. (In Russian) URL:  

Date of the publication 29.02.2020