Evaluation of Academic Performance of Students Using Fuzzy Logic
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1714019
ABSTRACT
The entire education system has undergone numerous changes to stand unhindered during the current COVID-19 pandemic. All over the world, the educational system has changed its teaching and learning methods. One of its important aspects, evaluating the students' overall performance has become a complex task with these changing patterns. The traditional approach of evaluation may not be a best fit anymore since multiple factors are required to make an all-inclusive, multifaceted decision to keep up with the upgrades in evaluation schemes and patterns. Also, Universities and educational institutes understood the importance of skill based learning and major changes are being made in the curriculum, which in turn need cognitive approach to evaluate the students' performance. Hence, we have proposed, designed and implemented a solution, a fuzzy logic-based model. This model, while showing the difference between the traditional approach and the inference system, will enable the educational institutes not only to evaluate a students' performance but also to understand the students in a comprehensive manner. © 2021 IEEE.
Fuzzy Logic; Mamdani Inference System; Membership function; Student Performance; Computer circuits; Education computing; Learning systems; Students; Academic performance; Education systems; Educational Institutes; Fuzzy-Logic; Inference systems; Mamdani inference; Memberships function; Traditional approaches; Membership functions
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021
Year:
2021
Document Type:
Article
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