Logo PTI
Polish Information Processing Society
Logo FedCSIS

Annals of Computer Science and Information Systems, Volume 15

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems

e-Assessment Management System for Comprehensive Assessment of Medical Students Knowledge

DOI: http://dx.doi.org/10.15439/2018F138

Citation: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, pages 795–799 ()

Full text

Abstract. The evaluation of students' knowledge, skills and performance is one of inseparable parts in education process. Except of various teaching approaches, the history brought also various, more or less effective assessment methods. Nowadays, thanks to the learning management systems, the e-assessment methods become more available and widespread across education institutions. The heterogeneity in usage of various assessment methods at our faculty, as well as involvement of natural subjective factors, forced us to search for the solution that can be applicable and acceptable in all study programs, courses and examinations. Furthermore, the system should be secure, intuitive and available for all teachers and their students. In this paper, we describe main principles and methodology of e-Assessment management system we implemented into the medical education for automatic assessment of students' knowledge and competences at the Faculty of Medicine in Ko\v{s}ice, Slovakia.

References

  1. Y. Lee, “Assessment Management System based on IMS QTI 2.1”, International Journal of Software Engineering and Its Applications, Volume 8, Number 1, 2014, pp. 159-166, http://dx.doi.org/ 10.14257/ijseia.2014.8.1.14.
  2. A. O’Connor, O. McGarr, P. Cantillon, A. McCurtin, A. Clifford, “Clinical performance assessment tools in physiotherapy practice education: a systematic review”, Physiotherapy 104, 2018, p. 46-53, https://doi.org/10.1016/j.physio.2017.01.005.
  3. J. Kubicek, T. Rehacek, M. Penhaker, M., I. Bryjova, “Software simulation of CT reconstructions and artifacts”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 165, 2016, Pages 428-437, http://dx.doi.org/10.1007/978-3-319-29236-6_41.
  4. E. Sureda-Demeulemeester, C. Ramis-Palmer, A. Sesé-Abad, “The assessment of medical competencies”, Rev Clin Esp. 2017, 217(9), pp. 534-542, http://dx.doi.org/10.1016/j.rceng.2017.05.004.
  5. J. J. Norcini, D.W. McKinley, “Assessment methods in medical education”, Teaching and Teacher Education, 23, 2007, pp. 239-250, http://dx.doi.org/ 10.1016/j.tate.2006.12.021.
  6. S. C. Daly et al., “A Subjective Assessment of Medical Student Perceptions on Animal Models in Medical Education”, Journal of Surgical Education, Volume 71, Number 1, 2014, pp. 61-64, http://dx.doi.org/10.1016/j.jsurg.2013.06.017.
  7. J. G. Moura, L.O. Brandão, A.A.F. Brandão, “A web-based learning management system with automatic assessment resources”, Frontiers In Education Conference-Global Engineering: Knowledge Without Borders, Opportunities Without Passports, 2007. FIE'07. 37th Annual. IEEE, 2007.
  8. O. F. Bukie, “Understanding Technologies for E-Assessment: A Systematic Review Approach”, Journal of Emerging Trends in Computing and Information Sciences, Vol. 5, No. 12, 2014, pp. 936 – 947.
  9. Y. Lee, “Assessment Management System based on IMS QTI 2.1”, International Journal of Software Engineering and Its Applications Vol.8, No.1 (2014), pp.159-166, http://dx.doi.org/10.14257/ijseia. 2014.8.1.14.
  10. M. Amelung, K. Krieger, and D. Rosner, “E-Assessment as a Service”, Ieee Transactions on Learning Technologies, Vol. 4, No. 2, 2011, pp. 162 – 174, http://dx.doi.org/10.1109/TLT.2010.24.
  11. J. Živčák, R. Hudák, T. Tóth, “Rat skin wounds tensile strength measurements in the process of healing”, IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 – Proceedings, 6208996, pp. 389-392.
  12. D. Schwarz, P. Štourač, M. Komenda, H. Harazim, M. Kosinová, J. Gregor, R. Hůlek, O. Smékalová, I. Křikava, R. Štoudek, L. Dušek, “Interactive algorithms for teaching and learning acute medicine in the Network of Medical Faculties MEFANET, Journal of Medical Internet Research, 2013, 15 (7), art. no. e135. http://dx.doi.org/10. 2196/jmir.2590.