2020
DOI: 10.1016/j.procs.2020.03.213
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Prediction of residence country of student towards information, communication and mobile technology for real-time: preliminary results

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Cited by 27 publications
(14 citation statements)
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“…Future recommendations are provided to apply more feature filter methods such as gain ratio, info gain, correspondence analysis principal components, info-gain [24]. The proposed approach could also be feasible to the public universities with sample enhancement.…”
Section: Future Suggestionsmentioning
confidence: 99%
“…Future recommendations are provided to apply more feature filter methods such as gain ratio, info gain, correspondence analysis principal components, info-gain [24]. The proposed approach could also be feasible to the public universities with sample enhancement.…”
Section: Future Suggestionsmentioning
confidence: 99%
“…Further, the related literature was studied to predict ICT skills and usability [17], ICT enhancement and availability [18], ICT experience [19], teachers' attitude [20], technology integration [21], and ICT in a social constructivist environment [22]. A preliminary work also observed that educators' residency [23,24] and demography [25] was predicted based on ICT.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…Divergence in attitude showed between the significance of specific and general attitudes towards technology [9], and the technology tool enhanced the perspective of students towards professional development [10]. Based on the residential location, expert opinions of students and teachers were predicted towards ICTMT [11], [12]. A multiple regression, including factor analysis, played well to evaluate the intention to use ICT collaborative tools in a social constructivist environment [13].…”
Section: Introduction and Related Workmentioning
confidence: 99%