Performance Evaluation of Students in Adaptive E-Assessment using Structural Equation Modeling
V. Geetha1, V. Jalaja Jayalakshmi2, R.Vivek3
1V.Geetha, Professor, Department of Computer Applications, Kumaraguru College of Technology Coimbatore (Tamil Nadu), India.
2V.Jalaja Jayalakshmi, Assistant Professor, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3R.Vivek, Student, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 16 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 06 September 2019 | PP: 570-575 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F11150886S19/19©BEIESP | DOI: 10.35940/ijeat.F1115.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s competitive world, students have to learn many skills and assessments are designed to judge their abilities in a more scientific way. Adaptive E-Assessment is a popular mode of evaluating the performance of the learners. It is a reliable approach and is commonly used by educational institutions around the world. An adaptive strategy using multiple choice questions for conducting E-assessment has been formulated for assessing the knowledge level of students. Various statistical measures were used to compare the performance of the students. This study uses structural equation modelling (SEM) to identify the relationship between the various factors contributing to the test score and to assess the reliability of the relationships between these factors.
Keywords: Adaptive E-Assessment, Multiple Choice Questions(MCQ), Degree of Toughness (DT), Structural Equation Modeling (SEM).
Scope of the Article: Adaptive Systems