Devising an approach to the use of distance education technologies in performing control measures for technical students

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.292924

Keywords:

distance learning, control measures, systems LMS, Moodle, algorithm for creating an exam

Abstract

The object of this study is the process of implementation of control measures with the help of distance learning technologies for students of technical specialties. The problem of the application of information and communication technologies for the effective implementation of final control during distance learning has been studied. An authentic algorithm for creating a test on the Moodle platform has been developed. The proposed algorithm is based on the use of the classical structure of the ticket, which allows implementing an approach to final control that is closest to the traditional one. This is important for assessing the acquired practical students competences of engineering specialties since for them the control measure may include a combination of textual, graphic, and computational tasks. The application of the algorithm in practice allows one to improve the quality of the final assessment by ensuring equal conditions for students, attracting the optimal set of tools for this, as well as identifying the student and thus ensuring the transparency of the control measure.

Verification of the developed algorithm during the quarantine period sessions at the Faculty of Transport Construction of the National Transport University demonstrated a better adaptability of students to conduct control measures in remote form. This is confirmed by an increase in quality (from 1.16 % to 6.8 %) and success (to 7.4 %) rates among students, as well as a high level of student satisfaction in 2022 with the effectiveness of online learning, which was determined through an anonymous questionnaire. Promising steps regarding the use of the algorithm in the final evaluation are the development of measures for the implementation of automated recognition of the emotional status of students

Author Biographies

Anna Kharchenko, National Transport University

Doctor of Technical Sciences, Professor

Department of Transport Construction and Property Management

Vitalii Tsybulskyi, National Transport University

PhD, Associate Professor

Department of Strength of Materials and Engineering Science

Serhii Kovbasenko, National Transport University

PhD

Department of Road Building Machines

Vitalii Simonenko, National Transport University

PhD, Associate Professor

Department of Road Building Machines National Transport University

Mykola Kolbasin, V. M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine

PhD, Senior Researcher

Department 100

References

  1. Kukharenko, V. M., Bondarenko, V. V. (2020). Ekstrene dystantsiyne navchannia v Ukraini. Kharkiv: Vyd-vo KP «Miska drukarnia», 409.
  2. Torres Martín, C., Acal, C., El Homrani, M., Mingorance Estrada, Á. (2021). Impact on the Virtual Learning Environment Due to COVID-19. Sustainability, 13 (2), 582. doi: https://doi.org/10.3390/su13020582
  3. Means, B., Neisler, J. (2021). Teaching and Learning in the Time of COVID: The Student Perspective. Online Learning, 25 (1). doi: https://doi.org/10.24059/olj.v25i1.2496
  4. Bojović, Ž., Bojović, P. D., Vujošević, D., Šuh, J. (2020). Education in times of crisis: Rapid transition to distance learning. Computer Applications in Engineering Education, 28 (6), 1467–1489. doi: https://doi.org/10.1002/cae.22318
  5. Byrnes, R., Ellis, A. (2006). The prevalence and characteristics of online assessment in Australian universities. Australasian Journal of Educational Technology, 22 (1). doi: https://doi.org/10.14742/ajet.1309
  6. Bdair, I. A. (2021). Nursing students’ and faculty members’ perspectives about online learning during COVID-19 pandemic: A qualitative study. Teaching and Learning in Nursing, 16 (3), 220–226. doi: https://doi.org/10.1016/j.teln.2021.02.008
  7. Bradley, V. M. (2020). Learning Management System (LMS) Use with Online Instruction. International Journal of Technology in Education, 4 (1), 68. doi: https://doi.org/10.46328/ijte.36
  8. Chirumamilla, A., Sindre, G., Nguyen-Duc, A. (2020). Cheating in e-exams and paper exams: the perceptions of engineering students and teachers in Norway. Assessment & Evaluation in Higher Education, 45 (7), 940–957. doi: https://doi.org/10.1080/02602938.2020.1719975
  9. Yazici, S., Yildiz Durak, H., Aksu Dünya, B., Şentürk, B. (2022). Online versus face‐to‐face cheating: The prevalence of cheating behaviours during the pandemic compared to the pre‐pandemic among Turkish University students. Journal of Computer Assisted Learning, 39 (1), 231–254. doi: https://doi.org/10.1111/jcal.12743
  10. Tella, A., Bashorun, M. T. (2012). Attitude of Undergraduate Students Towards Computer-Based Test (CBT). International Journal of Information and Communication Technology Education, 8 (2), 33–45. doi: https://doi.org/10.4018/jicte.2012040103
  11. Ebrahimi, M. R., Hashemi Toroujeni, S. M., Shahbazi, V. (2019). Score Equivalence, Gender Difference, and Testing Mode Preference in a Comparative Study between Computer- Based Testing and Paper-Based Testing. International Journal of Emerging Technologies in Learning (IJET), 14 (07), 128. doi: https://doi.org/10.3991/ijet.v14i07.10175
  12. Nurhikmah, H., Farida, F., Ervianti, E. (2021). The Impact of Computer-based Test and Students’ Ability in Computer Self - Efficacy on Mathematics Learning Outcomes. Journal of Education Technology, 5 (4), 603. doi: https://doi.org/10.23887/jet.v5i4.34942
  13. Kucherova, O. O., Ushakova, I. O. (2022). Effectiveness of online testing in general english university course from teacher and student perspectives. Information Technologies and Learning Tools, 87 (1), 185–198. doi: https://doi.org/10.33407/itlt.v87i1.4812
  14. Khalymon І. Yo., Shevchenko S. І. (2019). Role of training tests lms moodle in teaching students of linguistic profile. Information Technologies and Learning Tools, 72 (4), 246–257. doi: https://doi.org/10.33407/itlt.v72i4.2455
  15. Starosta В. І. (2021). Postgraduate students’ attitude towards computer-based testing of learning results. Information Technologies and Learning Tools, 82 (2), 215–230. doi: https://doi.org/10.33407/itlt.v82i2.3304
  16. De Medio, C., Limongelli, C., Sciarrone, F., Temperini, M. (2020). MoodleREC: A recommendation system for creating courses using the moodle e-learning platform. Computers in Human Behavior, 104, 106168. doi: https://doi.org/10.1016/j.chb.2019.106168
  17. Zhukov, Y. D., Haidai, H. Y., Kudin, O. O. (2022). The current state and prospects of the use of distance learning instruments during study ship engineering. Information Technologies and Learning Tools, 87 (1), 151–165. doi: https://doi.org/10.33407/itlt.v87i1.4505
  18. Pro zatverdzhennia Polozhennia pro dystantsiyne navchannia. Zareiestrovano v Ministerstvi yustytsiyi Ukrainy 30 kvitnia 2013 r. za No. 703/23235. Available at: https://zakon.rada.gov.ua/laws/show/z0703-13#Text
  19. Rekomendatsiyi Naukovo-metodychnoi rady Natsionalnoho transportnoho universytetu z orhanizatsiyi ta zdiysnennia osvitnoho protsesu v umovakh karantynu. (Zatverdzheno na zasidanni NMR 09.04.2020r., protokol No. 30). Available at: http://www.ntu.edu.ua/wp-content/uploads/2020/04/recom_met_rada.pdf
  20. Lasater, K. B., Jarrín, O. F., Aiken, L. H., McHugh, M. D., Sloane, D. M., Smith, H. L. (2019). A Methodology For Studying Organizational Performance. Medical Care, 57 (9), 742–749. doi: https://doi.org/10.1097/mlr.0000000000001167
Devising an approach to the use of distance education technologies in performing control measures for technical students

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Published

2023-12-29

How to Cite

Kharchenko, A., Tsybulskyi, V., Kovbasenko, S., Simonenko, V., & Kolbasin, M. (2023). Devising an approach to the use of distance education technologies in performing control measures for technical students. Eastern-European Journal of Enterprise Technologies, 6(2 (126), 49–58. https://doi.org/10.15587/1729-4061.2023.292924