A 2024 qualitative study of 19 South Korean families shows preschool screen use is relational and creative, not solely risky. Read the original summary at LSE Blogs and use this post to translate those findings into a reproducible workflow for qualitative analysis of preschool screen use. If you analyse interviews, videos, or mixed media from families, Evidano can ingest transcripts and clips, auto-transcribe with custom dictionaries, and produce thematic, frequency, and cross-segment analyses to speed valid inference.
Key Takeaways
The 2024 South Korea qualitative study (n=19) finds preschool screen use is relational and creative: screens act as launchpads for offline play, show sibling-shaped spillover, and support multilingual learning.
Evidano is an AI-powered qualitative data analysis platform that can ingest transcripts and short home videos, transcribe and translate, and produce reproducible thematic, frequency, and cross-segment analyses aligned to this study.
- Screens as launchpads: digital prompts frequently spark offline making, role-play, and storytelling in preschoolers.
- Sibling influence: 12 of 19 children inherited older siblings' content, shaping media diets and patterns.
- Design and policy focus: parents improvise rules and ask for affordable indoor public play spaces, implying infrastructure and guidance over simple time caps.
- Research method: combine interviews, short home video clips, and observational notes to capture transitions between screen prompts and hands-on play.
Findings snapshot
| Item | Value / Detail | Source / Note |
|---|---|---|
| Study date | Fieldwork in 2024 | Qualitative study across four early childhood centres |
| Sample | 19 families; children aged 3–5 | Play-based group sessions + parent interviews + home video clips |
| Context stats | 70% of infants/toddlers use smart devices early; avg first smartphone 3.6 years; 3+ hrs/day media (ages 3–9) | Contextual figures cited in the study |
| Key patterns | Screens as launchpads; learning-gates-play; sibling spillover; multilingual resource; parents request public play spaces | Observed across interviews and video submissions |
What the study found (plain English)
The study found that screens rarely act as isolated, passive entertainment for these preschoolers.
Children repurpose digital prompts into crafts, role-play, and storytelling, for example making origami bracelets after watching YouTube or using Bluetooth microphones for classroom play.
The transitions from screen prompt to hands-on activity were typically child-initiated rather than adult-designed.
- Screens as launchpads: digital content sparks offline making and extended play.
- Learning-gates-play: many homes gate ‘fun’ content behind study tasks, making play a reward rather than co-equal learning.
- Sibling spillover: younger children inherit older siblings' content; 12/19 children had older siblings influencing media diets.
- Multilingual and immigrant families use media as bridging tools for language learning, cultural connection, and practical skills.
- Parents improvise rules (timers, Wi-Fi toggles) and often lack evidence-based guidance; the strongest policy ask was affordable public indoor play spaces.
Ethics note: the source is qualitative, non-diagnostic research focused on family practices and policy implications.
Implications for researchers, UX teams, and policy analysts
For qualitative researchers
Qualitative researchers should treat screen-time as a multimodal ecology, not a single metric.
Combine interview transcripts with short home video clips and observational notes to capture transitions between screen and hands-on play.
Code for activity sequences (trigger → offline action → social interaction) rather than static categories of 'on' vs 'off'.
For UX & product teams
UX and product teams should design family-first features that reflect relational media use.
Consider sibling-aware profiles, co-viewing modes, and shared playlists that support developmental staging.
Measure outcomes beyond engagement, tagging features that lead to offline creation, co-play, or language practice.
For policy & early-years leads
Policy and early-years leads should prioritise infrastructure and caregiver guidance over simple screen-time caps.
Prioritise affordable indoor play spaces and evidence-based guidance for caregivers.
Account for cultural pressures, evaluating whether edtech supports child agency or just compliance in contexts with early academic focus.
FAQ: preschool screen use
What did the 2024 South Korea study find about preschool screen use?
+
The study found preschool screen use is relational and creative, often serving as a launchpad for offline play rather than isolated passive entertainment.
Children repurpose digital prompts into crafts, role-play, and storytelling, and these transitions were typically child-initiated.
How can researchers reproduce this study's analysis?
+
Researchers can reproduce the study's analysis by combining transcripts, short home video clips, and field notes, then running thematic and cross-segment analyses.
The post's seven-step checklist describes collecting, ingesting, transcribing/translating, coding, analysing, validating, and reporting the study's methods.
What should UX teams measure when designing for family media ecologies?
+
UX teams should measure outcomes beyond engagement, specifically features that lead to offline creation, co-play, or language practice.
Designs should support sibling-aware experiences, co-viewing, and developmental staging to reflect how families use screens.
What policy responses does the study suggest?
+
The study suggests prioritising affordable indoor public play spaces and evidence-based caregiver guidance over simple screen-time caps.
Policy should account for cultural pressures that may instrumentalise edtech and assess whether such tools support child agency.
How does the platform handle sensitive interview and video data?
+
The study-aligned platform practices include encryption, PII redaction, and controlled access for ethics-compliant sharing.
Data is encrypted and not used to train third-party models; PII redaction and access controls support ethical sharing of sensitive material.
Do more, faster with Evidano (mapped to this study)
Ingest mixed media
You can ingest interview transcripts, field notes, and short home video clips into Evidano to preserve study metadata.
The platform accepts documents and spreadsheets and preserves metadata such as age, sibling count, and language.
Transcribe & translate reliably
Evidano auto-transcription with custom dictionaries captures child speech, character names, and local terms.
Built-in translation keeps multilingual quotes aligned to original timestamps.
Thematic + frequency analysis
Evidano can run automated thematic coding to detect patterns like 'launchpad → craft' or 'learning-gates-play' and generate frequency counts and representative quotes.
Automated outputs include representative quotes and frequency summaries usable for stakeholder reporting.
Cross-segment comparisons
Evidano allows comparison of themes across segments, for example immigrant versus non-immigrant households or single-child versus sibling households.
The platform surfaces meaningful differences without manual spreadsheet wrangling.
Visualize and share
Evidano can create co-occurrence networks and hierarchical code maps to show how screen prompts link to offline play.
Export stakeholder-ready reports with clickable quotes and visuals for dissemination.
Security & compliance
Evidano secures data with encryption, offers PII redaction, and prevents use of data to train third-party models to support ethics-compliant research.
Use PII redaction for sensitive interview material and control access for approved sharing.
Checklist: reproduce this study’s analysis in 7 steps
This checklist shows seven concrete steps to reproduce the study's analysis using the methods described in this post.
1. Collect: transcripts (parent interviews), short home video clips, and field notes; tag age, sibling info, language.
2. Ingest: upload files to Evidano and map metadata fields (age, centre, sibling count).
3. Transcribe & translate: run automated transcription with a custom dictionary for local names; translate non-Korean quotes if needed.
4. Code: import or create a codebook (e.g., launchpad, learning-gates-play, sibling-spillover) and run AI-assisted coding.
5. Analyze: generate frequency tables, cross-segment comparisons, and co-occurrence networks to test hypotheses.
6. Validate: review representative quotes and timestamped clips to confirm AI codes; refine codebook iteratively.
7. Report: export visuals and an executive brief for stakeholders, highlighting policy asks (e.g., indoor play spaces) and design recommendations.
Wrapping up & next steps
The South Korea 2024 qualitative study reframes preschool screen use as relational and creative rather than purely risky.
For teams tracking family media ecologies, the work is less about counting minutes and more about mapping sequences, actors, and outcomes.
Bring these methods into your next project: ingest transcripts and clips, run thematic and cross-segment analyses, and export stakeholder-ready visuals with Evidano.
Ready to turn your interview transcripts and home videos into reproducible insight? Try Evidano for free.
Topics
- preschool screen use qualitative analysis
- co-agency preschool screens
- mixed-media qualitative methods
- early childhood media ecologies
- Evidano qualitative analysis
Keep reading
- Commentary on NewsAI for Developmental Assessment in EthiopiaPractical takeaways from a PLOS One study on developmental assessment in Ethiopia and how AI-enabled qualitative research accelerates implementation. Learn steps and tools.
- Commentary on NewsAI-enabled Qualitative Research: Saudi EducationAI-enabled qualitative research workflows to turn classroom interviews and observations into publishable themes, using a July 2026 PLOS study and an Evidano workflow.
- Commentary on NewsQualitative Analysis of Higher Ed PerceptionsQualitative analysis of higher ed perceptions: reproduce Public Agenda's n=3, 559 survey and focus-group findings into themes, segment comparisons, and visual exports using Evidano.