Suitable Personality Traits for Learning Programming Subjects: A Rough-Fuzzy Model

Programming is a cognitive activity which requires logical reasoning to code for abstract presentation. This study aims to find out the personality traits of students who maintain the effective grades in learning programming courses such as structured programming (SP) and object oriented programming...

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Vydáno v:International journal of advanced computer science & applications Ročník 8; číslo 8
Hlavní autoři: Rehman, Abdul, Jaafar, Jafreezal, Omar, Mazni, Basri, Shuib, Abdul, Izzatdin, Uddin, Qamar, Hilmi, Mohd
Médium: Journal Article
Jazyk:angličtina
Vydáno: West Yorkshire Science and Information (SAI) Organization Limited 01.01.2017
Témata:
Algorithms
Cognition & reasoning
Colleges & universities
Composition
Decision theory
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Learning
Object oriented programming
Personality
Personality traits
Set theory
Structured programming
ISSN:2158-107X, 2156-5570
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Abstract Programming is a cognitive activity which requires logical reasoning to code for abstract presentation. This study aims to find out the personality traits of students who maintain the effective grades in learning programming courses such as structured programming (SP) and object oriented programming (OOP) by gender classification. Data were collected from three universities to develop, validate, and generalize the Rough-Fuzzy model. Genetic and Johnson algorithms were applied under Rough set theory’s (RST) principles to extract the decision rules. In addition, Standard Voting, Naïve Bayesian, and Object Tracking procedures were applied on the generated decision rules to find the prediction accuracy of each algorithm. Mamdani’s Fuzzy Inference System (FIS) was used for mapping the decision rules’ condition (input) to decision (output) based on fuzzy set theory (FST) to develop the model. The results highlighted that certain personality compositions can be suitable for scoring good grades in programming subjects. For instance, a female student is capable enough to improve the programming skills if she is composed of introvert and sensing personality traits. Therefore, it is important to investigate an appropriate personality composition for programming learners.
AbstractList Programming is a cognitive activity which requires logical reasoning to code for abstract presentation. This study aims to find out the personality traits of students who maintain the effective grades in learning programming courses such as structured programming (SP) and object oriented programming (OOP) by gender classification. Data were collected from three universities to develop, validate, and generalize the Rough-Fuzzy model. Genetic and Johnson algorithms were applied under Rough set theory’s (RST) principles to extract the decision rules. In addition, Standard Voting, Naïve Bayesian, and Object Tracking procedures were applied on the generated decision rules to find the prediction accuracy of each algorithm. Mamdani’s Fuzzy Inference System (FIS) was used for mapping the decision rules’ condition (input) to decision (output) based on fuzzy set theory (FST) to develop the model. The results highlighted that certain personality compositions can be suitable for scoring good grades in programming subjects. For instance, a female student is capable enough to improve the programming skills if she is composed of introvert and sensing personality traits. Therefore, it is important to investigate an appropriate personality composition for programming learners.
Author Hilmi, Mohd
Abdul, Izzatdin
Uddin, Qamar
Jaafar, Jafreezal
Omar, Mazni
Rehman, Abdul
Basri, Shuib
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crossref_primary_10_1016_j_procs_2024_06_212
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SubjectTerms Algorithms
Cognition & reasoning
Colleges & universities
Composition
Decision theory
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Learning
Object oriented programming
Personality
Personality traits
Set theory
Structured programming
Title Suitable Personality Traits for Learning Programming Subjects: A Rough-Fuzzy Model
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