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To test hypothesis 4, one-way multivariate ANOVA (MANOVA) was employed to examine differences in smartphone behavior and its impacts on learning effectiveness. To test Hypothesis 5, structural equation modeling (SEM) was used to test whether smartphone …
The present review is the first to compile the existing literature on the impact of general smartphone use (and addiction) on performance in tertiary education. 1. We believe …
Given the conceptualization of smartphone addiction, an individual who experiences any of the six components of addiction, including salience, mood modification, tolerance, …
This research examines the influence of gadget dependency on the academic procrastination levels of students. It employs a descriptive correlational research design and …
The regression coefficient (b = 1.66, 95%, Cl: 0.646 to 2.6) indicted that there is an increase in student academic performance, on average, over the years of 1.66 points. Table 2 provides an …
Researchers highlight the main predictors of gadget addiction: the need for prestige and self-esteem; the need for risk; the presence of artificial needs; emotional instability; the presence of …
The findings show that the children accept the use of gadgets due to their usefulness and easiness. However, there were some negative impacts of gadget usage in terms of social life, …
The main objective of this study was to determine the impact of gadgets in learning among Grade 11-STEM students at Urdaneta City National High School during the school year 2017-2018. It …
This descriptive research was designed to find out the effect of electronic gadgets on the academic performance of senior high school (SHS) learners, study habit and level of …