Autors: Durcheva, M. I., Rozeva, A. G. Title: AUTHENTICATION WITH TESLA SYSTEM INSTRUMENTS SUPPORTING eASSESSMENT MODELS IN ENGINEERING COURSES Keywords: virtual learning environment, eAssessment, TeSLA, eAuthentic Abstract: eAssessment of students in engineering courses is specific due to the nature of the teaching, learning and examination process in technical education in general. Students need to write program code, design electronic schemes, solve mathematical problems, analyze performance of engineering devices, describe solutions graphically, etc. Online assessment has to support the correct authentication of the examinee for guaranteeing trusted ONLINE examination process. The TeSLA eAuthentication and authorship analysis system provides a variety of biometric instruments for authentication of students. Current paper aims to analyze results from the application of combinations of TeSLA authentication instruments in different engineering and fundamental courses and assessment activities during the pilots of the system conducted at the Technical University of Sofia. The experience obtained can be implemented for ensuring trustworthy eAssessment process of students in other engineering courses and as References Issue
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Цитирания (Citation/s):
1. a. R. Ryu, S. Yeom, D. Herbert and J. Dermoudy, "A Comprehensive Survey of Context-Aware Continuous Implicit Authentication in Online Learning Environments," in IEEE Access, vol. 11, pp. 24561-24573, 2023, doi: 10.1109/ACCESS.2023.3253484 - 2023 - в издания, индексирани в Scopus или Web of Science
2. b. Saleh, G., Tharwat, G. and Gamalel-Din, S., 2023. A Systematic Survey on Examinees Identity Authentication in Online Distant Exams. Journal of Al-Azhar University Engineering Sector, 18(66), pp.129-151 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science