Reconnoitering Students' Satisfaction of an Online Based Assessment System to Improve Usability using PSO: An Examination into a Problem Solving and Programming Course
Journal Title: Engineering, Technology & Applied Science Research - Year 2016, Vol 6, Issue 5
Abstract
End users’ computing environment has been consistently changing in recent years due to the major advancements of Information Technology. This work aimed to measure the level of users’ satisfaction and provide feedbacks for continuous improvement of a course offered in an academic institution. End users here were the students enrolled for the course and the faculty members who offered the same and also acted as an assessor for the assessments. All assessments were scheduled and conducted online. This study was conducted to focus on two different aspects: Measuring User satisfaction and investigating information systems measures to improve usability using nature inspired computing. For user satisfaction analysis, the study employed the Multicriteria Satisfaction Analysis. The course considered was a problem solving and programming course offered to the fresh students enrolled in the first year of the undergraduate degree program in the academic institution during 2015-2016. To identify the factors for improved usability, PSO was employed in this work.
Authors and Affiliations
S. Vairamuthu, S. Margret Anouncia
Keywords
Related Articles
- EP ID EP110656
- DOI -
- Views 238
- Downloads 0
A GTN-like Model for Plastic Porous Materials
An extended version of the well-known Gurson-Tvergaard-Needleman (GTN) isotropic hardening model is presented in this paper. The yield function of the proposed constitutive model possesses the distinctiveness to explicit...
Fabrication and Characterization of Organoclay Reinforced Polyester Based Hybrid Nanocomposite Materials
Synthesis and characterization of polyester nanocomposites was conducted in order to fabricate hybrid composite materials of polyester/montmorillonite (MMT). Polyester based polymeric nanocomposite materials were synthes...
Modeling and Trading the EUR/USD Exchange Rate Using Machine Learning Techniques
The present paper aims in investigating the performance of state-of-the-art machine learning techniques in trading with the EUR/USD exchange rate at the ECB fixing. For this purpose, five supervised learning classificati...
Frequency Locked Loop Based on the Time Nonrecursive Processing
This paper describes one new approach to frequency locked loop (FLL), which is based on the time non-recursive processing of input periods. System parameters are defined by the ratio of frequencies. The conditions, under...
A Genetic-Firefly Hybrid Algorithm to Find the Best Data Location in a Data Cube
Decision-based programs include large-scale complex database queries. If the response time is short, query optimization is critical. Users usually observe data as a multi-dimensional data cube. Each data cube cell displa...