Student performance evaluation model based on scoring rubric tool for network analysis subject using fuzzy logic

In this paper we are proposing a student performance evaluation method using Fuzzy Inference System (FIS) for Network Analysis (NA) course studied by third semester Electronics and Communication Engineering students. This paper explains about importance of Bloom's levels in studying and develop...

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Bibliographic Details
Published in2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) pp. 1 - 5
Main Authors Rao, D. H., Mangalwede, S. R., Deshmukh, V. B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Aggregation
Bloom's level
Fuzzy Inference system
Fuzzy logic
Fuzzy sets
Input variables
Knowledge engineering
Performance evaluation
Scoring rubric
Taxonomy
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Summary:In this paper we are proposing a student performance evaluation method using Fuzzy Inference System (FIS) for Network Analysis (NA) course studied by third semester Electronics and Communication Engineering students. This paper explains about importance of Bloom's levels in studying and developing critical thinking skills for NA course and designing scoring rubric by aligning the rubric criteria with Bloom's Taxonomy levels which are intern given as inputs to the FIS. The five inputs identify, understand, apply, analyze and design/create are fuzzified using Mamdani Fuzzy Inference System. With the help of fuzzy rules the predicted results are expressed in linguistic variables.
ISBN:9781538612057
1538612054
DOI:10.1109/ICEECCOT.2017.8284623