Advertisement

Education and Information Technologies

, Volume 22, Issue 3, pp 1217–1230 | Cite as

Issues of teaching metrology in higher education institutions of civil engineering in Russia

  • Yurii Vladimirovich Pukharenko
  • Veniamin Aleksandrovich NorinEmail author
Article

Abstract

The work analyses the training process condition in teaching the discipline ”Metrology, Standardization, Certification and Quality Control”. It proves that the current educational standard regarding the instruction of the discipline «Metrology, Standardization, Certification and Quality Control» does not meet the needs of the present-day Russian education and construction practice. The paper substantiates the timeliness of the issue regarding the reconsideration of the approach to metrological training. It proposes a concept of metrology instruction to specialists and bachelors of different majors at a higher education institution of civil engineering. The issue of providing the learning process with up-to-date tools is considered. It is emphasized that bachelors and specialists of the construction industry today have to put their knowledge to use in concrete situations which are as nearly as possible to the working conditions.

Keywords

Metrology instruction Remote education ICAI systems Case technologies Point-rating system Competency-based approach to education 

References

  1. Brown, G., Bull, J., & Pendlebury, M. (1997). Assessing students’ learning in higher education. London: Routledge.Google Scholar
  2. Chernaya I.P. (2007). The quality of education and the formation of the core competencies of students. http://dok.opredelim.com/docs/index-31221.html. Accessed 19 March 2016.
  3. Chi, M., VanLehn, K., Litman, D., & Jordan, P. (2011). An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach. International Journal of Artificial Intelligence in Education, 21, 83–113.Google Scholar
  4. Dolgorukov А (2014). A method case-study as modern technology of the is professional-focused training. http://www.vshu.ru/lections.php?tab_id=3&a=info&id=2600>. Accessed 5 May 2015.
  5. ECTS Users’ Guide. (2009). http://ec.europa.eu/education/tools/docs/ects-guide_en.pdf. Accessed 26 Nov 2015.
  6. Forbes-Riley, K., & Litman, D. J. (2011). Designing and evaluating a wizarded uncertaintyadaptive spoken dialogue tutoring system. Computer Speech & Language, 25(1), 105–126.CrossRefGoogle Scholar
  7. Forbes-Riley K., Litman D. J., Silliman S., and Tetreault J.R. (2006). Comparing synthesized versus pre-recorded tutor speech in an intelligent tutoring spoken dialogue system. In Proceedings of the nineteenth international Florida artificial intelligence research society conference, (pp 509–514). Melbourne Beach, Florida, May.Google Scholar
  8. Gorisev S. A., Kojnov A.V., Kuzemchik, V. D., Lisinin S.V., Mihaleva E.V., Mishunin O.B., Savinov A.P., Terehin D.E., Firstov D.I. and Tcherkashin A. Yu. (2013). Intellectual a complex «KLIOS» for training. http://www.science-education.ru/113-a10772. Accessed 25 June 2015.
  9. Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H., Ventura, M., Olney, A., & Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavioral Research Methods, Instruments, and Computers, 36(2), 180–192.CrossRefGoogle Scholar
  10. Internet testing results (2013). http://www.tusur.ru/ru/education/edu-process/test/fepo/fepo-17.html Accessed 25 Mar 2016.
  11. Jordan P., Makatchev M., Pappuswamy U., VanLehn K., and Albacete P. (2006). A natural language tutorial dialogue system for physics. In Proceedings of the 19th International FLAIRS conference. 521–526Google Scholar
  12. Jordan P., Albacete P., Ford M.J., Katz S., Lipschultz M. (2013). Eliciting student explanations during tutorial dialogue for the purpose of providing formative feedback //Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013. – Memphis, USA, July 9–13, 2013. – Part 8.Google Scholar
  13. Katz S, Albacete P., Ford M., Jordan P., Lipschultz M., Litman D., Silliman S., and Wilson C. (2012). Pilot test of a natural-language tutoring system for physics that simulates the highly interactive nature of human tutoring. In K. Yacef and H. Lane, (Eds.), Proceedings of artificial intelligence in education conference.Google Scholar
  14. Kolechenko, A. K. (2009). Encyclopedia of pedagogical techniques: Instructor’s guide. Karo: Saint Petersburg.Google Scholar
  15. Litman, D. J., Rose, C. P., Forbes-Riley, K., VanLehn, K., Bhembe, D., & Silliman, S. (2006). Spoken versus typed human and computer dialogue tutoring. International Journal of Artificial Intelligence in Education, 16, 145–170.Google Scholar
  16. McNamara, D. S. (2004). iSTART: Interactive strategy training for active reading and thinking. Behavior Research Methods, Instruments, & Computers, 36(2), 222–233.CrossRefGoogle Scholar
  17. Nagata, N. (2009). Robo-Sensei’s NLP-based error detection and feedback generation. CALICO Journal, 26(3), 562–579.Google Scholar
  18. Nielsen, R. D., Ward, W., & Martin, J. H. (2009). Recognizing entailment in intelligent tutoring systems. The Journal of Natural Language Engineering, 15, 479–501.CrossRefGoogle Scholar
  19. Norin, V. A., & Orlov, A. P. (2013a). Non-destructive quality control. St. Petersburg: Publishing Ph.Google Scholar
  20. Norin, V. A., & Orlov, A. P. (2013b). Processing of measurement results. St. Petersburg: Publishing Ph.Google Scholar
  21. Norin, V. A., & Orlov, A. P. (2013c). Technical measurement. St. Petersburg: Publishing Ph.Google Scholar
  22. Norin, V. A., & Orlov, A. P. (2015a). Control of the linear dimensions of the construction. St. Petersburg: Publishing Ph.Google Scholar
  23. Norin, V. A., & Orlov, A. P. (2015b). Environmental protection. St. Petersburg: Publishing Ph.Google Scholar
  24. Norin, V. A., & Orlov, A. P. (2015c). Monitoring deviations of form and position of surfaces in building products. St. Petersburg: Publishing Ph.Google Scholar
  25. Norina, N. V., & Glukhikh, V. N. (2015). Experience of technical disciplines remote training at the St. Petersburg State University of Architecture and Civil Engineering. Education and Information Technologies. Springer. doi: 10.1007/s10639-015-9390-8.Google Scholar
  26. Norina, N. V., Glukhikh, V. N., & Chernikh, A. G. (2014). Problems of teaching of technical mechanics in bachelor degree directions in building higher schools. Bulletin of Civil Engineers., 2(43), 231–234.Google Scholar
  27. Pedagogical analyses/monitoring (2014). http://polpoz.ru/umot/rezuletati-testirovaniya-studentov-vuza-i-vuzov-uchastnikov-po/ Accessed 25 Mar 2016.
  28. Poholkov, Yu, P., & Chugalin, A. I. (2004). Quality management in a higher education institution. Tomsk: TPU Publishing House.Google Scholar
  29. Pomortsev, P.M. (2013). Problems of Metrological Education in Russia: Round Table Materials. Moscow, Chamber of Commerce and Industry of the Russian Federation, 21 November 2013. http://www.riastk.ru/mi/adetail.php?ID=80754. Accessed 26 Nov 2015.
  30. Portal of Distance Learning of SPSUACE (2016). http://moodle.spbgasu.ru/course/index.php?categoryid=29. Accessed 19 Mar 2016.
  31. Pronyakin, V.I. (2013). Problems of Metrological Education in Russia: Round Table Materials. Moscow, Chamber of Commerce and Industry of the Russian Federation, 21 November 2013. http://www.riastk.ru/mi/adetail.php?ID=80754. Accessed 26 Nov 2015.
  32. Rus V. and Graesser A.C. (2006). Deeper natural language processing for evaluating student answers in intelligent tutoring systems. In Proceedings of the National Conference on Artificial Intelligence, volume 21, page 1495. Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press.Google Scholar
  33. Sarrafzadeh, A., Alexander, S., Dadgostar, F., Fan, C., & Bigdeli, A. (2008). How do you know that I don’t understand?” a look at the future of intelligent tutoring systems. Computers in Human Behavior., 24(4), 1342–1363.CrossRefGoogle Scholar
  34. Shishkin, I. F. (2013). Problems of Metrological Education in Russia: Round Table Materials. Moscow, Chamber of Commerce and Industry of the Russian Federation, 21 November 2013. http://www.riastk.ru/mi/adetail.php?ID=80754. Accessed 15 June 2015
  35. Shpaltakov V.P. (2015). Methods of teaching in high school. http://www.studfiles.ru/preview/2895227//. Accessed 19 Mar 2016
  36. Steinhauser N. B., Campbell G. E., Taylor L.S., Caine S., Scott C., Dzikovska M.O., and Moore J.D.. (2011). Talk like an electrician: Student dialogue mimicking behavior in an intelligent tutoring system. In Proceedings of the 15th International Conference on Artificial Intelligence in Education (AIED-2011).Google Scholar
  37. Stroganova, Y. P. (2013). Problems of Metrological Education in Russia. Round Table Materials. Moscow, Chamber of Commerce and Industry of the Russian Federation, 21 November 2013. http://www.riastk.ru/mi/adetail.php?ID=80754. Accessed 26 Nov 2015.
  38. Vinogradova N.A., Listratov J.I., Sviridov E.V. (2005). Working out of the applied software in the environment of LabVIEW. The Manual - Мoscow: Publishing house MEI.Google Scholar
  39. Whewell R., (2010). ECTS – European Credit Transfer and Accumulation system: History... Implementation... Problems... http://www4066.vu.lt/Files/File/Implementarion%20of%20ECTS_taisytas.pdf. Accessed 26 Nov 2015.

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Yurii Vladimirovich Pukharenko
    • 1
  • Veniamin Aleksandrovich Norin
    • 1
    Email author
  1. 1.Department of Technologies of Construction Materials and Metrology, Faculty of ConstructionSaint Petersburg State University of Architecture and Civil EngineeringSt. PetersburgRussia

Personalised recommendations