Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394797
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dc.contributor.authorHanan Ettaher Dagez-
dc.contributor.authorMohd Sapiyan Baba-
dc.date.accessioned2023-06-15T07:50:25Z-
dc.date.available2023-06-15T07:50:25Z-
dc.identifier.otherukmvital:120767-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/394797-
dc.description.abstractResearch in social and human behavior is a very difficult and complex task in terms of collecting, analyzing and converting data into numbers. This type of researches known as qualitative research, which is a process relies on reasons behind various aspects of behavior. It investigates the why and how of decision making, as compared to what, where, and when of quantitative research. This paper describes a qualitative research to extract learning style for students. The result will be used in developing a neural network application for adaptive e-learning system to determine the most preferred learning approach for a student. As a result the paper presents how qualitative research type has direct influence and affects the accuracy result or artificial neural network application.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, USA-
dc.subjectNeural network technology-
dc.subjectQualitative research-
dc.subjectLearning style-
dc.subjectE-learning environment-
dc.titleApplying neural network technology in qualitative research for extracting learning style to improve e-learning environment-
dc.typeSeminar Papers-
dc.format.pages6-
dc.identifier.callnoT58.5.C634 2008 kat sem-
dc.contributor.conferencenameInternational Symposium on Information Technology 2008-
dc.coverage.conferencelocationKuala Lumpur Convention Centre, Malaysia-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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