Abstract
The present study was conducted to explore both the differential and inferential analysis of technology applications and benefits in two country university students. In-depth statistical analysis with parametric and non-parametric tests was performed on primary samples collected from Indian and Hungarian universities. We assumed six null hypotheses and their corresponding alternative hypotheses in line three major objectives of our study. The first two null hypotheses were tested with the Student T-test, and the rest of the four hypotheses were tested with Correspondence Analysis (CA) advance dimension reduction approach. Supporting with results of Cramer's V (CV) inclusive Fisher's Exact (FE) and Chi <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> tests, an in-depth analysis was also performed. The result of the T-test proved that country variable not impacted by Technology Use due to insignificant p value (p > 0.05). But, Technology Benefit affected two-country students with significant p value (p <; 0.05). Surprisingly, the Mann-Whitney U test explored the effect of Technology Benefit and Use on Indian and Hungarian students (p <; 0.05). The CA method explored a significant association of Technology Use with Indian and Hungarian student's responses (p <; 0.05) yielded two dimensions. On the one hand, it did not find a significant association of Technology Benefit with Indian students (p <; 0.05). Still, on the other hand, it explored a significant association of Technology Benefit with Hungarian student's opinions (p > 0.05). The paper's findings are evident in higher technology awareness and association among Hungarian students than Indian students. We also proposed a real-time conceptual design to estimate the differential and inferential analysis using a web application to avoid the conventional method. Our proposed models might be helpful not only for two countries but also for inter-continent institutions to work in a collaborative project to measure; exchange student's and educators' perceptions about the technology. Based on the results, we also proposed a futuristic real-time technology impact identification for a university to integrate with extant “Election,”a class response system.
Highlights
AND RELATED WORKDuring the unprecedented time of Covid-19, technology has impacted every human aspect
We evaluated the effect of Technology Use and Benefit on the two country students and another hand, association mining
The parametric T-test used after carefully seen assumptions and p-value is estimated on the t-distribution probability with a calculated degree of freedom where nA is the number of samples in Indian Technology Use, and nB is the number of sample in Hungarian Technology Use
Summary
During the unprecedented time of Covid-19, technology has impacted every human aspect. Policymakers of the institution aware and understand the intervention of technology deployment in the educational systems [14] Both students and teachers have to contribute to the technology revolution, and they need to pose a constructive attitude to achieve it. The technology’s benefit has significantly impacted their learning and adopted it for future use [22].the educational benefit proved as a significant predictor to identify the attitude of students with positive association [23]. The present study uses statistical evidence-based comparative and inferential research to support bilateral opinion evaluation in two different countries of apart continents (Asia and Europe). Recent comparative study of digital competence among three university’s students in Spain and Italy are conducted and significant difference found by the researcher except only ‘‘programs to disseminate interactive presentations online’’ [26]. We presented a conceptual real-time technology impact identification integrated with the extant class response system
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