College application research evidence · understanding and original contribution · Seoul and online
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Emotion System Design: Grades 9-12
Grades 9-12: emotional design in interactive media, AI...
Where this course comes fromThe universities and labs named here made the open projects or materials this course draws on. CIT designed the course independently; it is not an official, affiliated, or endorsed course of those institutions.
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
- Free consultation and level check
- Apgujeong classroom or online
- One-to-one or small group
- Registered academy no. 11882
Is Emotion System Design: Grades 9-12 a good fit for high school students in Grades 9-12?
Emotion System Design: Grades 9-12 is a good fit for students in grades 9-12 who are interested in emotional design in interactive media and AI agents directed by specs. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a capstone spec package, a demo-ready capstone with audience test data, and an application portfolio.
The course was designed from open research published by Carnegie Mellon and Stanford. Students set up a capstone repository that uses aliases instead of real names, faces, or personal data, and first practice judging AI agent builds against specs and pass criteria on a small emotion web app. They then choose a game, cinematic, or generative-character track and write a capstone spec with an emotion intent statement and parameter curves for color temperature, contrast, and pace over time. Peers and outside audiences mark their own feelings as coordinates, and the student revises against that data before demo day and an application portfolio. The student then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits.
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I appreciated that a simple early idea was extended into an 'AI debate tool'. My child has always been interested in debate and social issues, so seeing that interest connect to the project makes me expect a more complete and distinctive result.
- Age group
- Grades 9-12
- Academic subject
- AI & Data, Computer Science & Coding, Engineering & Robotics, Arts, Media & Design, Research & PortfolioBrowse subject
- Course type
- Course
- Format
- Online or Apgujeong in person · one-to-one or small group
- Teaching language
- Korean by default, with complete English materials
- Curriculum status
- Learning studioA structured learning studio with goals, deliverables, and follow-up work is available. Tutors confirm supporting materials before delivery.
From open research to student-owned work
Students inspect a relevant public source, reproduce the idea, then add an original question, feature, or test. The material this course reads was made at Carnegie Mellon University, Stanford University. Names identify the source, not affiliation or endorsement.
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
How can I explain this course to my child?
If questions about emotional design in interactive media or AI agents directed by specs keep making you ask why, Emotion System Design: Grades 9-12 lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- emotional design in interactive media
- AI agents directed by specs
- attention-grabbing dark patterns
What does the student finish?A capstone spec package, a demo-ready capstone with audience test data, and an application portfolio.
Is this a good fit?
A strong fit for students who want to understand, build, test, or responsibly use AI systems.
Course placement follows current subject and coding readiness.
Students should be ready to document sources, methods, and limits.
Advanced tools are introduced after a clear baseline.
What will my child learn?
- Write specs with pass criteria for each feature and record a pass or reject decision for every agent build.
- Sort failed builds by cause (a vague spec, a missing constraint, or a wrong criterion) and re-instruct the agent.
- Analyze attention-grabbing dark patterns and list the devices the capstone will not use.
- Measure the gap between target and audience-marked feelings and adopt or reject each revision on that evidence.
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
How does the course progress?
- 1Agentic Engineering Workflow
Set up a repository under aliases, judge agent builds against specs and pass criteria, and finish a warm-up emotion web app.
- 2Capstone Planning: Tracks and Intent
Choose a track, study the Assist, Challenge, and Emote frame, review Hugging Face licenses and dark patterns, and finalize the spec.
- 3Capstone Production
Build the core interaction and parameter curves, revise after a mid-point feel test, and check generated parts for licenses and age fit.
- 4Validation, Demo Day, and Portfolio
Run an outside audience test, write up two debates in emotion science from both sides, and present the capstone at demo day.
What counts as useful evidence?
A capstone spec package, a demo-ready capstone with audience test data, and an application portfolio.
What should an admissions reader be able to see?
The course was designed from open research published by Carnegie Mellon and Stanford. The student works out what those researchers were trying to learn, why the question matters, and how they tested it, then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits.
Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
These names identify who published the open project the course starts from. The evidence an application reads is what the student understood, completed, and can explain.
Which sources were reviewed?
Catalog reviewed: 2026-09-30
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
Questions parents search before choosing this course
Is Emotion System Design: Grades 9-12 a good fit for high school students in Grades 9-12?
Emotion System Design: Grades 9-12 is a good fit for students in grades 9-12 who are interested in emotional design in interactive media and AI agents directed by specs. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a capstone spec package, a demo-ready capstone with audience test data, and an application portfolio.
Can my child take Emotion System Design: Grades 9-12 online or in person, one-to-one or in a small group?
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A readiness consultation confirms the available format and starting point for the course.
Does my child need prior subject knowledge or coding experience for Emotion System Design: Grades 9-12?
Course placement follows current subject and coding readiness. Students should be ready to document sources, methods, and limits. Advanced tools are introduced after a clear baseline.
What will my child make or practice in Emotion System Design: Grades 9-12?
The main evidence is a capstone spec package, a demo-ready capstone with audience test data, and an application portfolio. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can Emotion System Design: Grades 9-12 show research understanding in a college application?
The course was designed from open research published by Carnegie Mellon and Stanford. The student works out what those researchers were trying to learn, why the question matters, and how they tested it, then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
How are the schedule and tuition for Emotion System Design: Grades 9-12 determined?
CIT confirms the student's readiness, goal, location, class size, and current availability before recommending a course plan. The consultation and level check are free; tuition is explained before enrollment.
When should a student start?
There is no fixed intake month. CIT reviews the student's current school term, readiness, and available hours, then names the point in the course where they should begin.
The teachers are always attentive and considerate, so we feel comfortable trusting them with our child.
Where else parents check CIT
Choose the course after a readiness check
CIT can compare this course with nearby options by age, subject, and current preparation.