Evaluation of Students Performance using Fuzzy Set Theory in Online Learning of Islamic Finance Course

• Main Authors: Nashirah Abu Bakar, Sofian Rosbi, Azizi Abu Bakar
• Format: Article
• Language: English
• Published: International Association of Online Engineering (IAOE) 2021-04-01
• Series: International Journal of Interactive Mobile Technologies
• Subjects: fuzzy set theory; student performance; online learning; islamic fi-nance
• Online Access: https://online-journals.org/index.php/i-jim/article/view/20191

<p class="0abstract"><strong>Abstract—</strong>The objective of this study is to evaluate student performance using fuzzy set theory in Islamic Finance online course. This study focuses on selecting best individual among 30 students that registered for Islamic Bank Management course. The variables that involved in this study are online quiz marks, online assignment marks and online self-learning time.  The outcome of the fuzzy set analysis was compared with final examination data. The methodology of this study involving converting real data to fuzzy set, intersection calculation, decision analysis using maximizing approach. Result of fuzzy set shows the best individual score is 0.9. This student selected as best candidate for student performance in online learning with considering three variables namely online quizzes, online assignment and online self-learning hour. The comparison with final examination marks shows a good agreement with fuzzy set theory that concluded best individual from fuzzy set theory exhibits highest performance during final examination. The main finding of this study can help educators to predict the best performer in online learning class. In the same time, finding of this study can act as guideline to advise students in achieving their desired grade for online learning course.</p>