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Research Map

Original Problem

How has the rise of daily internet use, from 2015 – 2025, among U.S. children between the ages of 8-12 influenced their ability to regulate emotions during in person conflicts?

In the last 10 years, kids’ internet access has exploded, nearly every household is now connected in the U.S., and children as young as eight years old are spending hours online every day. While the internet gives them great ways to learn and stay connected, it also raises a big question: how is all this screen time affecting their ability to handle emotions in real life? When kids get upset online, they can log off, block someone, or post a quick comment without really working through their feelings. But in face-to-face situations, they don’t have those quick gateways. Learning how to regulate emotion at this age is crucial for building friendships, performing well in school, and staying mentally healthy as they grow. The issue is that we don’t know how much internet use is shaping these skills. Most research just talks about “screen time” in general, without looking closely at how it connects to emotional regulation. That’s the gap this study will fill. We can get answers that help parents, teachers, and policymakers make sure kids are developing the emotional tools they need to thrive both online and offline.

Stakeholders

Children 

(Primary)

Children ages 8-12 are still developing emotional regulation and social skills while navigating digital environments designed to capture their attention. Their online habits directly influence how they cope, communicate, and handle peer conflicts..

Parents/

Caregivers

Parents must balance safety, learning, and entertainment while managing concerns about emotional or behavioral issues tied to screen use. They often lack clear guidance on which types of online activities are most impactful.

Educators

Teachers experience the effects of children's digital habits in the classroom, from attention challenges to peer conflict. They need insights into how screen use influences behavior and social-emotional development.

Tech Companies

Tech companies design the digital spaces children use, often incorporating features that encourage prolonged engagement. Their design decisions strongly shape children’s emotional experiences and coping patterns.

Policy Makers

Policymakers create guidelines around digital safety, educational technology, and screen time but often rely on outdated or incomplete research. They need child-centered data to make informed, effective decision

Why This Matters

Policy & Structural Impact
Policy decisions need updated, child-centered evidence.
Technology Impact (Systems-Level)

Tech design shapes children’s coping and regulation habits.

Social & School Impact

Peer skills influence academic success and social stability.

Child Level Impact

Emotional regulation built in late childhood predicts lifelong mental health.

Unstructured screen use is shaping how children regulate emotions in late childhood.

  • Trouble managing conflict → friendship issues

  • Challenges with self-control → classroom disruptions

  • Emotional withdrawal → reduced learning engagement

  • Difficulty calming down → stress, anxiety, or impulsivity​

  • Patterns formed now carry into adolescence and adulthood

  • Infinite scroll, notifications, reward loops

  • Harder for kids to self-regulate because platforms are engineered to keep attention

  • Digital habits can override real-world coping strategies

  • Schools making device policies

  • Governments setting youth online safety laws

  • Pediatric guidelines on screen time need modern data

Literature Review

Corpus

Huang, Pei, et al. “Screen Time, brain network development and socio-emotional competence in childhood: Moderation of associations by parent–child reading.” Psychological Medicine, vol. 54, no. 9, 5 Feb. 2024, pp. 1992–2003, https://doi.org/10.1017/s0033291724000084.

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Byrne, Rebecca, et al. “Measurement of screen time among young children aged 0–6 years: A systematic review.” Obesity Reviews, vol. 22, no. 8, 7 May 2021, https://doi.org/10.1111/obr.13260.

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Oswald, Tassia K., et al. “Psychological impacts of ‘Screen time’ and ‘Green time’ for children and adolescents: A systematic scoping review.” PLOS ONE, vol. 15, no. 9, 4 Sept. 2020, https://doi.org/10.1371/journal.pone.0237725.

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Chen, Hsing-Jung, et al. “The influence of children’s emotional regulation on internet addiction during the COVID-19 pandemic: The mediating role of depression.” Psychology, Health & Medicine, 15 Apr. 2025, pp. 1–15, https://doi.org/10.1080/13548506.2025.2490223.

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Arumugam, Catherine, et al. “Screen time influence on early childhood social-emotional development.” Health Problems of Civilization, vol. 16, no. 3, 2022, pp. 190–198, https://doi.org/10.5114/hpc.2022.118754.

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Thakur (Rai), Neha, et al. “Cross-sectional study on prevalence and consequences of screen time on physical and mental health in children in the era of covid-19.” Asian Journal of Medical Sciences, vol. 13, no. 1, 1 Jan. 2022, pp. 19–24, https://doi.org/10.3126/ajms.v13i1.40578.

To build my corpus, I searched multiple databases including the UT Library, EBSCOhost, Google Scholar, the ACM Digital Library, and IEEE, ultimately finding the most relevant and recent sources through the UT Library and Google Scholar. I applied peer-review filters and used evolving keywords, starting broadly with “screen time” and “children,” then refining with terms like “emotional regulation,” “depression,” and “anxiety”, to locate studies closely aligned with my research question. Because the topic is well studied, I was also able to identify several systematic reviews that provided strong background context, even if they did not directly match my exact question.

The Gaps

Real-World Peer Conflict

We don’t know how screen use affects in-person conflict resolution.

Missing Child Perspective

Most studies rely on parent/teacher reports, not children’s own voices.

Type of Use vs. Hours

Screen time measured in hours, not what kids are actually doing online.

Outdated / Non-U.S. Samples

Tech has evolved; little recent U.S. data on ages 8–12.

Research Questions

RQ1: What patterns of internet use (e.g., gaming, social media, video watching, schoolwork) are most associated with differences in emotional regulation abilities among U.S. children ages 8-12?

RQ2: How do children ages 8-12, in the U.S., describe the ways their internet or screen use affects their emotions and ability to calm down after face-to-face conflicts?

RQ1: Descriptive

RQ1: Quantitative

RQ2: Explanatory

RQ2: Qualitative

Identified Problem

Children’s screen use is increasing rapidly, but we still lack a clear understanding of how specific online activities influence their emotional regulation and their ability to handle real-life peer conflicts. Most existing research focuses only on the amount of screen time or relies on parent reports, leaving major gaps in understanding what children actually do online and how they themselves experience its emotional effects. The two research questions aim to uncover both the patterns of digital behavior that relate to emotional regulation (RQ1) and the child-centered, lived experiences behind those patterns (RQ2).

Methods

Mixed-Methods: Quantitative & Qualitative

Quantitative (RQ1)

Participants

  • 30-50 child–parent pairs

  • Children ages 8-12; parents provide verified screen-time data

Data Collected

  • Child-reported screen use: estimated time spent on types of online activities (gaming, videos, social media, etc.)

  • Parent-reported screen use: exact Screen Time numbers from devices

  • Content categories: what kids do online (funny, scary, educational, social, inappropriate, etc.)

  • Emotional regulation scale: child-friendly ratings of how they feel after different types of digital activities

Tools

  • Qualtrics: survey creation and distribution

  • Screen Time: objective usage data

  • Excel: organizing and cleaning data

  • SPSS/R (Optional): descriptive statistics, comparisons

Qualitative (RQ2)

Participants

  • 15-30 children; ages 8-12

  • Recruited from the survey pool 

Data Collected

Children’s narratives about:

  • Daily routines

  • Digital habits

  • Emotional experiences

  • Conflict situations

  • How they calm down, repair relationships, or cope

Tools

  • Digital audio recorder or encrypted smartphone recording

  • Transcription software (Word & Descript)

  • Coding spreadsheet (Excel)

Data Analysis

Quantitative

Organize Data

All survey responses and Screen Time numbers from parents and children are exported into spreadsheets.
Data is cleaned, labeled, and grouped by variables

content category

types of online activity

emotional regulation scores

Basic statistics are calculated to understand the sample:

Standard deviations (how much variation exists)

Means, medians, and modes (e.g., average hours spent gaming vs. watching videos)

Frequency counts (how many kids use each platform/activity)

Comparative & Relational Insights

Comparisons are made across groups (e.g., gamers vs. video watchers).
The relationships between screen activities and emotional regulation are explored

Differences between groups

Correlations between variables

Patterns in how certain online behaviors relate to emotional outcomes

Identify Patterns

From these comparisons, the analysis reveals which types of internet use, not just how many hours, are associated with stronger or weaker emotional regulation abilities.

Qualitative

Transcription

Each interview is audio-recorded and transcribed verbatim. Identifying information is removed to protect privacy.

Deductive codes

based on research questions, e.g., coping strategies, conflict management

Inductive codes

ideas that emerge naturally from what children say, e.g., “gaming helps me cool down,” “videos make me feel overwhelmed”

Codes are clustered into broader themes

→

How children describe their emotions after being online

How they use screens to cope or calm down

→

→

→

How online experiences influence in-person conflicts

Differences between types of digital activities

→

→

Narrative Insights

The final stage synthesizes the themes into clear insights that reveal how children interpret the emotional effects of screen use and how digital habits shape their real-world behavior.

Ethics

Respect for Persons

  • Obtain informed parental consent and child assent using clear, age-appropriate language

  • Emphasize voluntary participation, children can skip questions or stop at any time without penalty

  • Conduct interviews privately (with parental permission) to reduce pressure and ensure honest responses

  • Use non-leading, developmentally sensitive questions to respect children’s autonomy and perspectives

Beneficence

  • Minimize risk by avoiding overly personal or distressing questions and keeping interviews short and child-friendly

  • Protect confidentiality by anonymizing data, encrypting recordings, and securely storing all files

  • Exclude children whose diagnosed conditions would make participation stressful or confound emotional-regulation data (for safety, not judgment)

  • Ensure that participation poses minimal risk and has potential to benefit wider child well-being research

Justice

  • Recruit from U.S. public schools to include a diverse, representative group of children.

  • Avoid oversampling from privileged populations; ensure fair distribution of risks and benefits.

  • Apply inclusion/exclusion criteria consistently and based on research needs, not convenience.

  • Ensure that no group is unfairly burdened or systematically left out of the research.

Imapct

This research has the potential to strengthen how families, schools, and society understand children’s emotional development in a rapidly evolving digital world. By identifying which types of screen use most strongly influence emotional regulation, and by centering children’s own perspectives, this work offers more meaningful guidance than the “limit screen time” messages. Parents can gain clearer insight into which digital habits matter, teachers can better understand and manage the emotional and behavioral spillover from students’ online lives, policymakers can update guidelines with current child-centered evidence, and tech companies can design digital environments that are more developmentally supportive for children.

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