Screen Content Type and Teen Executive Function Tasks

ISEF Category: Behavioral and Social Sciences

Subcategory: Development  ·  Difficulty: Intermediate  ·  Setup: Home Setup  ·  Time: 1 to 2 Months

The Hook

Not all screen time does the same thing to your brain. A calm educational clip, a funny video, and a fast short-form feed can all leave you in very different mental states. That makes this a real experiment, not just a debate about screens. You can measure the change with n-back and task-switching tasks right after viewing.

What Is It?

This project asks whether the kind of screen content you watch changes how well you handle mental juggling right afterward. Educational videos, entertainment videos, and short-form clips all count as screen time, but your brain may not treat them the same way.

Executive function means the mental skills you use to hold information in mind, switch between rules, and ignore distractions. The n-back task checks working memory, which is your mental scratchpad. Task-switching checks how fast you change rules, like moving from one lane to another without missing the next turn.

Why This Is a Good Topic

This is a strong science fair topic because you can test it with clear groups, simple outcome measures, and public browser-based tasks. It connects to a real problem, since teens use different kinds of screen content every day and families, teachers, and students all want to know whether content type matters. You can also learn real research skills, like setting controls, measuring reaction time, and comparing groups with basic statistics.

Research Questions

• How does educational, entertainment, or short-form video content affect n-back accuracy in adolescents?
• What is the effect of content type on task-switching reaction time after the same viewing session?
• Does short-form video produce more switching errors than educational video?
• To what extent do baseline screen-use habits change the size of the executive-function effect?
• Which content type leads to the biggest change in n-back performance from before to after viewing?
• How does the order of content type exposure affect task-switching scores?

Basic Materials

• Laptop or desktop computer with a modern browser.
• Headphones or earbuds.
• Quiet room with a desk and chair.
• Public browser-based cognitive battery access.
• Participant consent and assent forms.
• Short demographic and screen-habit survey.
• Spreadsheet software such as Google Sheets or Excel.

Advanced Materials

• University testing room with matched computers.
• jsPsych or PsychoPy task implementation.
• Secure data capture system such as REDCap.
• External keyboard or response box for reaction-time logging.
• R or Python analysis scripts.
• Optional eye-tracking system to check attention during tasks.

Software & Tools

• jsPsych: Builds browser-based reaction-time tasks and records trial data.
• PsyToolkit: Runs simple cognitive experiments online for free or low cost.
• Google Forms: Screens participants and collects background information.
• Google Sheets: Organizes raw data and calculates summary scores.
• R: Compares groups, plots reaction times, and tests significance.

Experiment Steps

1. Define the three content groups and the exact executive-function outcomes you will compare.
2. Choose one viewing window and one testing sequence so every participant gets the same structure.
3. Build a scoring plan for accuracy, reaction time, and exclusion rules before collecting data.
4. Plan counterbalancing so screen order or task order does not favor one content type.
5. Decide how you will compare groups and visualize the result before you run the study.

Common Pitfalls

• Letting participants pick their own videos, which makes the content categories too messy to compare.
• Changing the device or browser between participants, which can shift reaction times for reasons unrelated to content type.
• Using one task session as both practice and data, which can hide learning effects.
• Ignoring sleep, time of day, or recent phone use, which can swamp small executive-function differences.
• Comparing raw scores without adjusting for baseline performance, which makes group differences hard to trust.

What Makes This Competitive

A stronger version does more than compare average scores. It controls for baseline screen habits, sleep, time of day, and order effects, then looks at both accuracy and reaction-time spread. If you also separate long-form and short-form video inside the same framework, you can ask whether format matters as much as content. Clean controls and a clear statistical plan matter more than a big sample.

Project Variations

• Compare short-form educational clips with short-form entertainment clips to isolate content while holding format constant.
• Compare long-form videos with short-form clips to test whether length changes executive-function effects more than topic does.
• Test whether the same content has different effects when teens watch actively with notes versus passively without a task.

Learn More

• PubMed: Search review articles on adolescent screen media, attention, and executive function.
• PubMed Central: Read full-text behavioral studies and methods papers for free.
• NIH National Institute of Mental Health: Background on adolescent brain development and cognition.
• Open Science Framework: Find preregistration templates, data-sharing guides, and open behavioral study materials.
• jsPsych documentation: Learn how to build browser-based reaction-time tasks.