Parents Perception of Using Digital Technology Among Preschool Children in Selected Schools in an Urban Community
Bibliographic record
Abstract
Background: In the world we live in now, technological devices are becoming more and more important. Digital technology can be a source of information and a good way to learn new things, but it also has some draw backs. Devices like tablets, phones, and computers have taken the place of toys that children used to like. When looked at from this point of view, it can be said that many common technological devices today have both good and bad effects on people. Objective: To assess the parent’s perception of digital technology usage of preschool children in selected schools in Dhaka city, Bangladesh. Methodology: The cross-sectional study was carried out to determine the A total of 123 preschool children’s (age:3-6yrs) parents participated in the study, parents’ perception of digital technology usage of preschool children in selected schools (YWCA Higher Secondary Girls School, Assemblies of GOD Church School, Silver dale Preparatory Girls High School and Zamzam Point Int. School & College) in Dhaka city, Bangladesh from January 2024 to November 2024. Data were collected by face to face interview with the parents by semi structured questionnaire. The participants were selected by convenient sampling procedure. Ethical permission was obtained from the Institutional Review Board(IRB) of BSMMU. Results: A total of 123 parents were participated in the study. Among them, 83.7% were women and 16.3% were men.60.2% of the mothers were between the ages of 20 and 30, and 78% of the fathers were between the ages of 20 and 30. 26.8% of mothers had completed H.S.C level, and 31.7% of fathers had a master's degree or more. Among the parents,48.8% Parents thought that children first used digital technology between the ages of 3 and 4 years. According to Parents perception, half of their children used digital technology for two hours a day. 69% children used digital technology for social media. According to Parents perception 59.3% of their children were generally well-behaved and usually did what adults asked, but 13.8% children often fight with other children. Among them, 36.6% of children had headaches,35.5% had body aches, 13.8% had decreased visual activity, 17.9% had lost weight and felt tired, and 40.7% were lack of sleep disruption. As a result, the children also experienced some psychological effects. 64.2% Parents thought that their children overused digital technology, which took away from their study time, 63.4% of children made them less creative, and 49.6% of children were a little bit restless. Conclusion: Digital technology use can influence a child's physical, psychological and social health. Parents influence children positive usage of technology. In order for children to adopt a healthy lifestyle, it is essential to monitor the amount of time, frequency, and content viewed while using technological devices and to ensure that children have or develop adequate opportunities for physical activity, healthy eating habits, proper sleep cycles, and supportive social relationships. Awareness program should be conducted about proper use of digital technology. Further studies involving larger sample size and addressing geographical variations are needed for generalizability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".