Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results
This paper proposed a novel futuristic approach to support the educational informatics and overcome the conventional system of attitude measure. For this, we presented a significant predictive model to identify the attitude of students towards technology. The present approach not only explored the i...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9206013/ |
| _version_ | 1830193154762997760 |
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| author | Chaman Verma Zoltan Illes Veronika Stoffova Pradeep Kumar Singh |
| author_facet | Chaman Verma Zoltan Illes Veronika Stoffova Pradeep Kumar Singh |
| author_sort | Chaman Verma |
| collection | DOAJ |
| description | This paper proposed a novel futuristic approach to support the educational informatics and overcome the conventional system of attitude measure. For this, we presented a significant predictive model to identify the attitude of students towards technology. The present approach not only explored the impact of the technology but also predicted an opinion of students. The concept of an online awareness model may overcome the traditional method. We have performed the descriptive and inferential statistics to predict the attitude of Indian students towards the ICTMT in university education with primary data samples. Factor Analysis (FA) using Principal Component Analysis (PCA) has extracted the prominent two components with nine features for technology benefits and six features for the technology use. The SQuareRoot (SQRT) and Log transformations have been used to decrease the Skewness, and it has also improved the association between attitude and educational benefit. Overall reliability of the gathered data sample size of 163 calculated 0.957 provided with Cronbach alpha test. This study has used a Pearson Correlation (PC) for exploring the technology impact and the Linear Regression Model (LRM) for the prediction. The LRM has substantiated that the educational benefit explained the attitude significantly, and a significant positive association discovered using the PC with a value of 0.75. The LRM model projected nine most significant educational benefits of ICTMT, which affected the attitude of the Indian student towards technology. We have proposed technology aids in building online predictive model wires real-time prediction. |
| first_indexed | 2024-12-18T00:08:01Z |
| format | Article |
| id | doaj.art-d8e4a364b88a4034bcde1c7cc39d1369 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T00:08:01Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d8e4a364b88a4034bcde1c7cc39d13692022-12-21T21:27:45ZengIEEEIEEE Access2169-35362020-01-01817802217803310.1109/ACCESS.2020.30269349206013Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary ResultsChaman Verma0https://orcid.org/0000-0002-9925-112XZoltan Illes1https://orcid.org/0000-0002-6623-5721Veronika Stoffova2https://orcid.org/0000-0001-8067-6876Pradeep Kumar Singh3https://orcid.org/0000-0002-7676-9014Department of Media and Educational Informatics, Eötvös Loránd University, Budapest, HungaryDepartment of Media and Educational Informatics, Eötvös Loránd University, Budapest, HungaryDepartment of Mathematics and Computer Science, Trnava University, Trnava, SlovakiaDepartment of Computer Science and Engineering, ABES Engineering College, Ghaziabad, IndiaThis paper proposed a novel futuristic approach to support the educational informatics and overcome the conventional system of attitude measure. For this, we presented a significant predictive model to identify the attitude of students towards technology. The present approach not only explored the impact of the technology but also predicted an opinion of students. The concept of an online awareness model may overcome the traditional method. We have performed the descriptive and inferential statistics to predict the attitude of Indian students towards the ICTMT in university education with primary data samples. Factor Analysis (FA) using Principal Component Analysis (PCA) has extracted the prominent two components with nine features for technology benefits and six features for the technology use. The SQuareRoot (SQRT) and Log transformations have been used to decrease the Skewness, and it has also improved the association between attitude and educational benefit. Overall reliability of the gathered data sample size of 163 calculated 0.957 provided with Cronbach alpha test. This study has used a Pearson Correlation (PC) for exploring the technology impact and the Linear Regression Model (LRM) for the prediction. The LRM has substantiated that the educational benefit explained the attitude significantly, and a significant positive association discovered using the PC with a value of 0.75. The LRM model projected nine most significant educational benefits of ICTMT, which affected the attitude of the Indian student towards technology. We have proposed technology aids in building online predictive model wires real-time prediction.https://ieeexplore.ieee.org/document/9206013/Attitudeeducational benefitfactor analysiscorrespondence analysisPCAreal-time |
| spellingShingle | Chaman Verma Zoltan Illes Veronika Stoffova Pradeep Kumar Singh Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results IEEE Access Attitude educational benefit factor analysis correspondence analysis PCA real-time |
| title | Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results |
| title_full | Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results |
| title_fullStr | Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results |
| title_full_unstemmed | Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results |
| title_short | Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results |
| title_sort | predicting attitude of indian student x2019 s towards ict and mobile technology for real time preliminary results |
| topic | Attitude educational benefit factor analysis correspondence analysis PCA real-time |
| url | https://ieeexplore.ieee.org/document/9206013/ |
| work_keys_str_mv | AT chamanverma predictingattitudeofindianstudentx2019stowardsictandmobiletechnologyforrealtimepreliminaryresults AT zoltanilles predictingattitudeofindianstudentx2019stowardsictandmobiletechnologyforrealtimepreliminaryresults AT veronikastoffova predictingattitudeofindianstudentx2019stowardsictandmobiletechnologyforrealtimepreliminaryresults AT pradeepkumarsingh predictingattitudeofindianstudentx2019stowardsictandmobiletechnologyforrealtimepreliminaryresults |