Identifying Factors Influencing Mathematical Problem Solving among Matriculation Students in Penang.
Mathematics is recognized as an important subject in the school curriculum in Malaysia. It is a compulsory subject for many courses in matriculation, private colleges and universities. The purpose of this study is to identify the factors that influence the matriculation students in mathematical prob...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 22; no. 1; pp. 393 - 409 |
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| Autores principales: | , |
| Formato: | Artículo |
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Universiti Putra Malaysia
3/ 1/2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=97018305&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 97018305 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: 3/ 1/2014 vid: 22 iid: 1 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 97018305 ppf: 393 ppct: 16 formats: fmt: @attributes: type: P size: 586KB tig: atl: Identifying Factors Influencing Mathematical Problem Solving among Matriculation Students in Penang. aug: au: Ong, H. C. Lim, J. S. affil: School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia su: Mathematical models School enrollment Problem solving Private universities & colleges Mathematical notation Pinang sug: subj: Pinang Mathematical models School enrollment Problem solving Private universities & colleges Mathematical notation keyword: Bayesian Network Causal Relationship Data Mining Graphical Model Learning Algorithms Mathematics Education Network Scores ab: Mathematics is recognized as an important subject in the school curriculum in Malaysia. It is a compulsory subject for many courses in matriculation, private colleges and universities. The purpose of this study is to identify the factors that influence the matriculation students in mathematical problem solving. Bayesian Network, a data mining technique, is used in this study to analyse the causal relationships. Bayesian network is a probabilistic graphical model which converts variables and their dependent relationships into nodes and arcs respectively. We compare the resultant networks using the different constraint and score based algorithms to identify the main factors affecting students in problem solving of mathematics. We found that students in Penang Matriculation College faced problem solving in mathematics owing to their problem with mathematical symbols. Hence, the students have no confidence in answering mathematics problems especially in questions related to their understanding of mathematical symbols. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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