Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen

Programming subjects are fundamental to Computer Science students as students need to comprehend these subjects in order to be a good computer scientist. It is also one of the important and core subject for Computer Science students. Programming subject also complex to implement if students do not h...

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Main Author:	Susen, Nur Fadhilah Ain
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Application program interfaces Application software Integrated software Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/69414/1/69414.pdf
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id	my-uitm-ir.69414
record_format	uketd_dc
spelling	my-uitm-ir.694142022-10-31T03:56:22Z Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen 2017-01 Susen, Nur Fadhilah Ain Instruments and machines Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Computer software Application program interfaces Application software Development. UML (Computer science) Integrated software Fuzzy logic Programming subjects are fundamental to Computer Science students as students need to comprehend these subjects in order to be a good computer scientist. It is also one of the important and core subject for Computer Science students. Programming subject also complex to implement if students do not have any basic. This may cause the understanding about programming become hard and difficult. While, techniques of study for each person are different based on their personality. To solve the problem a recommendation system using fuzzy logic is proposed on Myers-Briggs Type Indicator (MBTI). MBTI model is a personality test used to suggest study techniques that suitable for student so they can learn programming subjects more effectively. Methodology used consists of collection of data about programming and MBTI, design the interface, process of implementation and evaluation of the prototype. A conceptual framework is developed based on fuzzy logic system technique and Myers-Briggs Type Indicator (MBTI). MBTI result will be used as a feeder to fuzzy logic engine. The prototype can help students to choose appropriate learning style for programming. The prototype is evaluated using accuracy testing which is measure the accurate value of the exactly output. The result testing for this prototype is 36.36%. For the future works combination of the other model of learning style and techniques of programming will be added to improve the accuracy of the result. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69414/ https://ir.uitm.edu.my/id/eprint/69414/1/69414.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Nik Daud, Nik Marsyahariani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Nik Daud, Nik Marsyahariani
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Application program interfaces Application software Instruments and machines Integrated software Fuzzy logic
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Application program interfaces Application software Instruments and machines Integrated software Fuzzy logic Susen, Nur Fadhilah Ain Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen
description	Programming subjects are fundamental to Computer Science students as students need to comprehend these subjects in order to be a good computer scientist. It is also one of the important and core subject for Computer Science students. Programming subject also complex to implement if students do not have any basic. This may cause the understanding about programming become hard and difficult. While, techniques of study for each person are different based on their personality. To solve the problem a recommendation system using fuzzy logic is proposed on Myers-Briggs Type Indicator (MBTI). MBTI model is a personality test used to suggest study techniques that suitable for student so they can learn programming subjects more effectively. Methodology used consists of collection of data about programming and MBTI, design the interface, process of implementation and evaluation of the prototype. A conceptual framework is developed based on fuzzy logic system technique and Myers-Briggs Type Indicator (MBTI). MBTI result will be used as a feeder to fuzzy logic engine. The prototype can help students to choose appropriate learning style for programming. The prototype is evaluated using accuracy testing which is measure the accurate value of the exactly output. The result testing for this prototype is 36.36%. For the future works combination of the other model of learning style and techniques of programming will be added to improve the accuracy of the result.
format	Thesis
qualification_level	Bachelor degree
author	Susen, Nur Fadhilah Ain
author_facet	Susen, Nur Fadhilah Ain
author_sort	Susen, Nur Fadhilah Ain
title	Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen
title_short	Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen
title_full	Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen
title_fullStr	Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen
title_full_unstemmed	Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen
title_sort	programming learning style recommendation using fuzzy logic / nur fadhilah ain susen
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69414/1/69414.pdf
_version_	1783735876057038848

Programming learning style recommendation using fuzzy logic / Nur Fadhilah Ain Susen

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