Academic subject guide
Show colleges more than a course title. Across 65 options, students learn a research question, method, evidence, and limits, then make a student-owned extension. Compare online and Apgujeong in-person lessons, with one-to-one and small-group options, by readiness.
CIT currently lists 65 active courses connected to ai & data for children and teens. Families can learn online or in person in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats, subject to course availability.
A strong fit for students who want to understand, build, test, or responsibly use AI systems.
If you enjoy pushing through hard questions about nutrition evidence or AI models and evaluation, Conrad Challenge Nutrition & AI Project helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideEver wondered whether growth-mindset feedback changes the choice to retry after a mistake, why peer feedback gets so much attention in adolescence, or how the brain learns to revise a strategy? Social Brain Lab turns Stanford and Harvard research questions into privacy-safe behavioral experiments, data analysis, and a GitHub research record.
View parent guideIf questions about biological systems or AI models and evaluation keep making you ask why, Read Biology Data with Tables, Graphs, and AI lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about genomic patterns or biological systems keep making you ask why, Test a Research Question with Public Genomics Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about biological systems or data analysis keep making you ask why, Compare and Explain Biology Data with Statistics lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about biological systems or AI models and evaluation keep making you ask why, Build and Evaluate AI that Learns from Biology Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about biological data or financial data keep making you ask why, School-Linked Open-Source Bio-Finance Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about biological data or financial data keep making you ask why, Stanford, MIT & Columbia Open-Source Bio-Finance Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about value, price, and demand or business decisions keep making you ask why, Smart Money Makers: AI, Data & Mini Business lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about product design and validation or AI models and evaluation keep making you ask why, AI Product Builder: Planning, UX & Development lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about value, price, and demand or product design and validation keep making you ask why, AI Money Lab: Forecasting, Pricing & Data Products lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about economic choices and markets or data analysis keep making you ask why, Economics Data Science Portfolio lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf exploring AI models and evaluation or creative systems makes you want to build instead of only watch or read, Generative AI Art Curator lets you make, test, and improve something of your own.
View parent guideIf exploring AI models and evaluation or data and patterns makes you want to build instead of only watch or read, My First AI Brain lets you make, test, and improve something of your own.
View parent guideIf exploring creative systems or data and patterns makes you want to build instead of only watch or read, Smart Systems & Human Control lets you make, test, and improve something of your own.
View parent guideIf questions about AI models and evaluation or game systems and player data keep making you ask why, AI + Games: Smart Character Maker lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about sensor-based building systems or AI models and evaluation keep making you ask why, AI + LEGO: Responsive Building Maker lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or music, sound, and data keep making you ask why, AI + Music: Rhythm and Mood Maker lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about robot sensing and control or AI models and evaluation keep making you ask why, AI + Robotics: Sensor Explorers lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or data and patterns keep making you ask why, AI + Sports: Play Data Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about agents, tools, and feedback or AI models and evaluation keep making you ask why, AI Makers: Data, Decisions & Responsible Agents lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about emotion, perception, and design or design choices and testing keep making you ask why, Emotion System Design: Grades 3-5 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or app design and development keep making you ask why, Building and Launching AI Apps lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about data analysis or Python programming keep making you ask why, Data Science with Python lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or data and patterns keep making you ask why, Google Cloud Study Jam: AI Badge Path lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf you enjoy pushing through hard questions about human-machine interaction or AI models and evaluation, Research Human-AI Interfaces for KSEF helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideIf you enjoy pushing through hard questions about AI models and evaluation or data and patterns, IAI2O Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideIf you enjoy pushing through hard questions about AI models and evaluation or data and patterns, KOAI Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideIf questions about AI models and evaluation or data and patterns keep making you ask why, Practical AI Tools & Machine Learning Foundations lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about robot sensing and control or AI models and evaluation keep making you ask why, RoboMaster AI Vision: Safe Robot Control lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or data and patterns keep making you ask why, Unity C# & AI Programming lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf you enjoy pushing through hard questions about AI models and evaluation or data and patterns, USAAIO Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideIf questions about agents, tools, and feedback or AI models and evaluation keep making you ask why, High School AI Assistants: Build, Test, and Explain lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about pitch-control modeling or passing-option analysis keep making you ask why, Tracking Data: Calculate Open Passing Lanes lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about football computer vision or dataset and detector evaluation keep making you ask why, Computer Vision: Find Players and the Ball in Video lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about player-movement data or tactical pattern analysis keep making you ask why, Player Tracking Data: Analyze Movement and Team Tactics lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about game-state reconstruction or multi-camera football vision keep making you ask why, Open Football Video: Rebuild Player, Number, and Position Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about multi-object player tracking or tracker comparison keep making you ask why, Compare Player-Tracking Methods in Video lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about football event data or question-led match analysis keep making you ask why, Open Match Data: Build a Shot and Pass Analysis App lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about agents, tools, and feedback or AI models and evaluation keep making you ask why, AI + Games: Agent Studio lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about sensor-based building systems or AI models and evaluation keep making you ask why, AI + LEGO: Intelligent Spatial Systems lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or music, sound, and data keep making you ask why, AI + Music: Affective Computing Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about robot sensing and control or AI models and evaluation keep making you ask why, AI + Robotics: Vision and Autonomy Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or research questions and methods keep making you ask why, AI + Sports: Data and Vision Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about product and management decisions or product design and validation keep making you ask why, High School AI Product Planning and Testing lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about agents, tools, and feedback or AI models and evaluation keep making you ask why, High School AI Software: Step-by-Step Assistants lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about research questions and methods or data and patterns keep making you ask why, AP Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about emotion, perception, and design or design choices and testing 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.
View parent guideIf you want to understand the important ideas behind mathematical reasoning instead of memorizing answers, IB Mathematics: Applications and Interpretation connects AI models and evaluation to exam-ready reasoning and a record of how you fixed mistakes.
View parent guideIf questions about AI models and evaluation or game systems and player data keep making you ask why, AI + Games: Systems Builder lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about sensor-based building systems or AI models and evaluation keep making you ask why, AI + LEGO: Multi-Sensor Architecture Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or music, sound, and data keep making you ask why, AI + Music: Data and Emotion Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about robot sensing and control or AI models and evaluation keep making you ask why, AI + Robotics: Autonomous Systems Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or data and patterns keep making you ask why, AI + Sports: Analysis and Pose Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about emotion, perception, and design or design choices and testing keep making you ask why, Emotion System Design: Grades 6-8 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about AI models and evaluation or Python programming keep making you ask why, Python AI Systems Builder lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about aerodynamic modeling or constrained design optimization keep making you ask why, Aerodynamic Analysis: Compare Wing Designs and Flight Performance lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about spacecraft attitude dynamics or feedback control systems keep making you ask why, Make a Spacecraft Hold Its Own Heading lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about electromagnetic waves or FDTD simulation keep making you ask why, Electromagnetic Waves: Test Reflection and Interference lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about solid-motor internal ballistics or motor geometry and pressure keep making you ask why, Rocket Motor Internals: Compare Pressure and Thrust lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about rocket-flight physics or OpenRocket simulation keep making you ask why, Fly a Rocket On Screen: Test the Physics of Flight lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about planetary-rover dynamics or contact, traction, and terrain keep making you ask why, Physics Models: Compare Moon and Mars Rover Motion lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about rocket propulsion thermochemistry or performance trade-offs keep making you ask why, Combustion Analysis: Compare Fuel Conditions and Propulsion Performance lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about six-degree-of-freedom flight simulation or uncertainty and Monte Carlo analysis keep making you ask why, Python Flight Analysis: Compare Trajectory and Weather Uncertainty lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideIf questions about orbital mechanics or numerical propagation keep making you ask why, Calculate Satellite Orbits and What Disturbs Them lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideClear the filters or choose another age group.
The student can explain what university researchers asked, how they tested it, and what their evidence cannot prove. The student then identifies the question, decision, result, and limit that belong to their own extension. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
Use age as a starting point, then compare current knowledge, independence, and the work the student wants to sustain. This guide lists 65 active options and their prerequisites.
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A free readiness consultation confirms availability for the selected course.
Depending on age and readiness, families can explore paths such as AI coding classes, machine learning for students, and data science projects. Only currently listed courses appear in the catalog.
The student should explain the researchers' question, why it matters, how it was tested, and what the evidence cannot prove. Then the student should extend one method through an independent question and document their decisions, result, 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. A university name alone is not evidence and never guarantees admission.
CIT first reviews the student's goal, readiness, preferred location, class size, and current availability. The consultation and level check are free; the proposed schedule and tuition are explained before enrollment.