Fuzzy Logic-based Expert System for Assessing Programming Course Performance of E-Learning Students

  • Khubaib Khawar Department of Computer Science, Virtual University of Pakistan, Lahore
  • Saima Munawar Department of Computer Science, Virtual University of Pakistan, Lahore
  • Nasir Naveed Department of Computer Science, Virtual University of Pakistan, Lahore
Keywords: fuzzy logic, expert system, artificial intelligence, machine learning, assessing performance, programming course

Abstract

The collaboration between e-learning activities and those offering formative assessment and summative assessment has gained great attention in the educational community. These types of activities can be incorporated into online assessment tools. There is no doubt that all the big and small educational institutes use some kind of protocols and disciplines to assess the performance of regular and e-learning students conventionally or traditionally. This paper proposes and introduces an efficient, automatic and intelligent approach to calculate or assess the performance of e-learning students using an Expert System (ES) based on the Fuzzy Logic System (FLS) Artificial Intelligence Algorithm. The ES takes five parameters for formative assessment (FA) such as skype session attendance, internal course marks, and programming lab activity, and summative assessment (SA) includes mid-term and final-term marks. The result shows that the Expert System for Assessing Programming Course Performance (ESACP) evaluates the performance efficiently. The proposed model also has an impact on the educational institution's assessment system and focus on how to improve education standard with the help of assessing the students’ performance using formative and summative analysis.

Published
2020-06-30
How to Cite
[1]
K. Khawar, S. Munawar, and N. Naveed, “Fuzzy Logic-based Expert System for Assessing Programming Course Performance of E-Learning Students”, jictra, Jun. 2020.
Section
Original Articles