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Effects of Smartphone Addiction on Cognitive Functions in Teaching Faculty

2025· article· en· W4406621971 on OpenAlexaboutno aff
Amber Jamaal -, Sana Zainab. S -, A.K. Vijay Krishna Kumar -

Bibliographic record

VenueInternational Journal For Multidisciplinary Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsSmartphone addictionAddictionCognitionPsychologyApplied psychologyCognitive psychologyMedical educationMathematics educationClinical psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.073
GPT teacher head0.517
Teacher spread0.444 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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