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14 results on '"Ridzuan, Fakhitah"'

4. A Thematic Review on Data Quality Challenges and Dimension in the Era of Big Data

Author

Ridzuan, Fakhitah, Wan Zainon, Wan Mohd Nazmee, Zairul, Mohd, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Isa, Khalid, editor, Md. Zain, Zainah, editor, Mohd-Mokhtar, Rosmiwati, editor, Mat Noh, Maziyah, editor, Ismail, Zool H., editor, Yusof, Ahmad Anas, editor, Mohamad Ayob, Ahmad Faisal, editor, Azhar Ali, Syed Saad, editor, and Abdul Kadir, Herdawatie, editor

Published
2022
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7. Dental Students' Perceptions of the Current Educational Environment and Readiness for the Simulation-based Teaching Model: A Questionnaire-based Cross-sectional Study from Malaysia.

Author

LI XIAO, RAO, GURURAJAPRASAD KAGGAL LAKSHMANA, RIDZUAN, FAKHITAH, HASHIM, HASNAH, and MOKHTAR, NOREHAN

Subjects
PSYCHOLOGY of students, DENTAL education, DENTAL students, SCHOOL environment, TECHNOLOGY assessment, TEACHING models
Abstract

Introduction: To facilitate the advancement of dental education in Malaysia, it is imperative to get insight into the perceptions held by dental students towards the current situation of the Educational Environment (EE). Moreover, in the current evolution of the educational framework, a shift is occurring from the conventional pedagogical approach to the implementation of simulation-based experiences. For a better understanding of virtual learning, it is crucial to determine students' level of technology readiness. Aim: To identify the students' perceptions regarding the present dental EE in Malaysia and their technology readiness for a simulation-based teaching and learning model and to verify whether technology readiness influences students' perceptions of the present EE. Materials and Methods: The study utilised a cross-sectional survey design. A total of 146 dental students enrolled in year 4 and year 5 of three dental faculties in Malaysia were invited to this study from May to June 2023. The survey used the Dundee Ready Educational Environment Scale (DREEM) and the modified Technology Readiness Index (TRI) to measure students' perceptions of EE and readiness for the new educational model. Mann-Whitney U tests were conducted to explore the differences among different demographic information for both DREEM and modified TRI. Multivariable linear regression analysis was conducted to determine associated factors with the TRI score. Pearson's correlation coefficient was used to measure the correlation between DREEM and modified TRI. All tests for statistical significance were carried out using Statistical Package for Social Sciences (SPSS) software version 26.0. Results: The overall global score of DREEM was 127.74/200. Comparing the subscale and global DREEM scores between public and private universities, significant differences were found in all dimensions and global DREEM scores except for students' Social Self-Perception (SSP). Year four Undergraduate (UG) students showed more positivity in Students' Perception of Learning (SPL) (p=0.020) and Students' Perception of Teachers (SPT) (p=0.031) than year five students. While the overall mean score of the modified TRI was 3.08/5. The level of technology readiness would not affect the overall global DREEM score. Conclusion: Dental UGs' perception of the EE is considered to be "more positive than negative." However, improvements are needed in SPL and SPT. Generally, dental UGs in Malaysia have reached an adequate technology readiness level toward simulation-based teaching and learning. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Framework To Enhance Veracity And Quality Of Big Data

Author

Ridzuan, Fakhitah and Ridzuan, Fakhitah

Abstract

Massive amount of data are available for organisations to drive their business ahead of the competitors. Data collected from a variety of resources are dirty, and this will affect their business decisions. Various data cleansing tools are available to cater to the issue of dirty data. They offer better data quality, which will be a great help for the organisation to make sure their data is ready for the analysis. However, there has been an issue raised regarding the trustworthiness of the result, even though the quality of the data is high. Veracity is one of the characteristics of Big Data, which refers to the trustworthiness of the data. It always relates to data quality, but there has been less work on a standard that defines data quality, specifically for Big Data. Besides, most of the studies also show the need for data quality rule to satisfy a variety of errors present in the data. However, this process requires a domain expert that is expensive to employ. Consequently, this research proposes a method to automate data quality rules and an enhanced veracity assessment framework. The proposed method will automate the process of extracting data quality rules from the data source, which will reduce the interaction with the domain expert, and at the same time correctly verifying and validating the rules. The proposed method will be evaluated using the Veracity Enhancement Framework (VEF), to make sure the data has met the data quality dimension and able to deliver trustworthy result. The experimental result shows that the proposed automatic technique to extract data quality rules is able to correctly classify 9487 data with 4.6% error percentage.

Published
2021

13. AN APPROACH TO ENHANCE THE DATA CLEANSING METHOD IN BIG DATA APPLICATION

Author

Ridzuan, Fakhitah and Wan Zainon, Wan Mohd Nazmee

Abstract

Nowadays, massive amounts of data are available for the organization which will influence their business decision. Data collected from the various resources are dirty and this will affect the accuracy of prediction result. Data cleansing offers a better data quality which will be a great help for the organization to make sure their data is ready for the analysing phase. However, the amount of data collected by the organizations has been increasing every year, which is making most of the existing approach is not suitable for Big Data.

Published
2019
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