Development of a Real-time Digital Learning Platform for Diagnosing Degrees of Mathematical Competency.
The research aims to develop and verify a real-time digital learning platform for diagnosing the degree of mathematical competency of seventh-grade students. A total of 1,559 students from four regions of Thailand and six experts participated in this research. The researchers employed a design-based...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 32; no. 3; pp. 829 - 855 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Universiti Putra Malaysia
Sep2024
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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=180314797&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 180314797 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: Sep2024 vid: 32 iid: 3 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 180314797 10.47836/pjssh.32.3.02 ppf: 829 ppct: 26 formats: fmt: @attributes: type: P size: 5.1MB tig: atl: Development of a Real-time Digital Learning Platform for Diagnosing Degrees of Mathematical Competency. aug: au: Sineenart Phaengkham Putcharee Junpeng Keow Ngang Tang affil: Faculty of Education, Khon Kaen University, 40002 Khon Kaen, Thailand Postgraduate Program in Education, Faculty of Business, Hospitality and Humanities, Nilai University, 71800 Nilai, Negeri Sembilan, Malaysia su: Digital learning Mathematics Multinomial distribution Geometry Physical activity sug: subj: Digital learning Mathematics Multinomial distribution Geometry Physical activity keyword: construction of knowledge Content constituent degrees of mathematical competency mathematical measures real-time digital learning platform ab: The research aims to develop and verify a real-time digital learning platform for diagnosing the degree of mathematical competency of seventh-grade students. A total of 1,559 students from four regions of Thailand and six experts participated in this research. The researchers employed a design-based approach and the Multidimensional Coefficient Multinomial Logit Model to evaluate the effectiveness of the real-time digital learning platform. The measurement tool consists of two aspects, namely mathematical measures and the construction of knowledge dimensions, with 58 items to simulate students' responses to the three respective content constituents: number and algebra, measurement and geometry, and statistics and probability. The findings showed that the multidimensional model offered a significantly better statistical fit in measurement, geometry, statistics, and probability, while numbers and algebra fit better in the unidimensional model. There were positive, strong, and significant correlations between the dimensions. The findings indicated that all items fit the OUTFIT MNSQ and INFIT MNSQ, which are between 0.75-1.33. The findings revealed that the internal structure when it came to evaluating the degrees of students' mathematical competency using the Wright map and the Multidimensional Test Response Model conformed with the quality of the digital learning platform in terms of its usefulness, accuracy, and feasibility. This real-time digital learning platform for diagnosing the degree of mathematical competency can be accessed from anywhere with an internet connection, making education more accessible to a wider audience, including individuals in remote areas or those with physical disabilities. 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: 2024 holdings: @attributes: islocal: N |
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