Home > Archive > 2022 > Volume 12 Number 3 (Mar. 2022) >
IJIET 2022 Vol.12(3): 252-256 ISSN: 2010-3689
doi: 10.18178/ijiet.2022.12.3.1612

Automated e-Assessment: Students’ Needs and e-Evaluation Solution Possibilities

A. Margiene and S. Ramanauskaite

Abstract—E-learning is increasingly gaining its usage. In the COVID-19 period, its importance even increased. One of the important e-learning processes is e-assessment. Suitable e-evaluation implementation depends on multiple factors. One of the factors for suitable testing implementation is alignment between users’ needs for a specific purpose testing and its implementation possibilities. Therefore in this paper, we analyze what are students’ needs for e-evaluation system in knowledge level testing and self-evaluation testing cases. Student survey and multi-criteria decision-making were used to find out how students rank different criteria of e-assessment and how linear, graph-based, and tree-based testing structures rank based on these criteria.

Index Terms—E-evaluation, e-learning, needs, testing structure, Analytic Hierarchy Process (AHP).

The authors are with the Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, LT-10223, Lithuania (e-mail: asta.margiene@vilniustech.lt, simona.ramanauskaite@vilniustech.lt).

[PDF]

Cite: A. Margiene and S. Ramanauskaite, "Automated e-Assessment: Students’ Needs and e-Evaluation Solution Possibilities," International Journal of Information and Education Technology vol. 12, no. 3, pp. 252-256, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


Article Metrics in Dimensions