Effects of Smartphone Addiction on Cognitive Functions in Teaching Faculty
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Cognitive function is a broad term that refers to mental processes involved in the acquisition of knowledge, manipulation of information, and reasoning. Smartphone addiction or excess use has led to a range of negative consequences in personal life, academic achievement and the workplace. They also found that some activities related to screening media and brain structures are associated with worse cognitive performance, while others are associated with better cognitive performance. The cognitive challenges in teaching faculty are working memory, ability to learn new concepts, attention, decision making and reaction time. AIM OF STUDY: “To investigate the effects of smartphone addiction on cognitive functions in teaching faculty.” METHODOLOGY: In this study, 132 teaching faculty were approached to participate. Each subject was screened for the study criteria and those who did not meet the inclusion criteria were excluded. Out of 132 subjects, 21 subjects did not fulfil the selection criteria, and 11 subjects were not willing to participate. 100 consenting teaching faculty were included based on the selection criteria. Their demographic information (i.e., age between 24 - 50 and gender) and levels of smartphone usage were collected using the Smartphone addiction Scale- Short Version (SAS-SV). The Cognitive functions were evaluated using the Montreal Cognitive Assessment (MoCA) Scale. The questionnaire and objective scale were personally given to the subjects, and the results were determined accordingly. RESULTS: The impact of Smart phone Addiction on Cognitive function was analyzed with linear regression. The p-value 0.040 is less than 0.05 denotes that there is an impact of smart phone addiction on the cognitive function of the teachers in the study samples. This study showed that teacher’s cognitive function is being positively impacted by smartphone addiction. CONCLUSION: In conclusion, the present study demonstrated that smartphone-addiction significantly impacted cognitive functions in teaching faculty. This study showed that teacher’s cognitive function is being positively impacted by smartphone addiction.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it