SCIENCE · GIFTED · AI INQUIRY
Short answer: CIT teaches students preparing for Korean science high schools (과학고·과고) and gifted schools (영재학교·영재고) to turn their own questions into Python, data and AI tests, compare a non-AI baseline, and keep dated evidence they can explain. There is no universal AI portfolio required by all schools. The current official rules for the exact school, route and admissions year come first; CIT does not promise that a project may be submitted or that it will produce admission.
TWO DISTINCT STUDENT ROUTES
CIT keeps these goals separate. International-school students protect AP, IB and IGCSE academics and assessment rules first. Science and gifted-school students begin with the exact school's current admissions rules and build inquiry skills without assuming a universal submission.
THREE DISTINCTIONS
Submission rules, inquiry learning and evidence design are different questions. Separating them prevents inflated admissions claims.
01 · SUBMISSION
No. There is no single “science or gifted-school AI portfolio” format shared by every school. Records, statements, recommendations, problem-solving assessments and permitted evidence differ by school and route.
02 · LEARNING
To learn how to investigate. Narrowing a question, testing against a baseline and correcting a failed hypothesis applies mathematics, science and computing to a real problem.
03 · EVIDENCE
Explainable records come before a polished site. Keep data provenance, code changes, test tables, failure reasons, student ownership and the limits of AI or mentor support with dates.
OFFICIAL 2027 EXAMPLES
KSA's published 2027 general route describes student-record review and staged assessments; its separate Jang Yeong-sil route includes long-term, self-initiated inquiry with evidence in a specific recommendation criterion. Neither example may be generalized to every school.
The published method proceeds through student-record review, creative problem-solving and multidimensional giftedness assessment. It does not label a universal AI portfolio as a separate required item.
Open the KSA admissions source ↗ 02A specific recommendation criterion includes long-term inquiry into a topic the student identified voluntarily and the ability to evidence that experience. The route-specific boundary matters.
Open the separate KSA route source ↗ 03The cited case explains that whether a gifted-school process includes a personal statement is determined by the school head under applicable rules—another reason not to claim one nationwide format.
Open the Ministry PDF ↗ 04This is the school's official starting point for its 2027 guide, announcements and application information.
Open the official school site ↗ 05The school publishes its own 2027 admissions materials. The latest school source must be checked rather than relying on a general portfolio claim.
Open the official school source ↗ALL SEARCHABLE SCHOOL NAMES · WORLDWIDE ONLINE
CIT offers onsite lessons in Apgujeong and online one-to-one or small-group lessons across South Korea and overseas. The list preserves registered Korean names, full-name searches, 과고·영재고 abbreviations and KSA·SASA·IASA aliases. It does not imply school affiliation, official admissions status or an admissions guarantee.
SCIENCE HIGH · 22
English labels are followed by the Korean registered and common search forms.
GIFTED SCHOOL · 08
Registered names plus science-high, gifted-school and acronym search forms.
PLANNED · 02
Official institution records show development activity, but no confirmed student admissions guide was found for this review. These are not presented as current schools or 2027 application targets.
CIT INQUIRY EVIDENCE MODEL
Using deep learning does not by itself make an inquiry strong. The student should explain why the question matters, whether a simpler method worked, what failed, what changed and where the result does not apply.
Narrow something the student noticed into one measurable sentence.
Compare first with an average, rule or simple regression.
Record who created the data, what it means and whether it may be used.
Keep the hypothesis, changed variable, result and next action in one format.
Separate what the student, AI tools, teacher and mentor did.
State where the result fails, what data is missing and what should be tested next.
HYPOTHETICAL DESIGN · NOT A STUDENT RESULT
Do not begin with the most complex predictor. Start from the discomfort, test whether temperature alone explains it, identify bias in time and sensor placement, then add only the variables the evidence justifies.
A real project must address school permission, privacy, sensor safety and data retention before collection.
Ask which measured variables best explain perceived temperature differences by class period.
Test the temperature average or a simple rule before using a complex model.
Log sensor position, windows, time, missing values and every model change.
Do not generalize a short record from one classroom to other schools.
FREE INQUIRY-EVIDENCE CHECK
This does not score admission likelihood. Use empty boxes to decide the next inquiry action. Selections stay in this browser and are not sent to CIT.
INSTRUCTIONAL FIT
A student may need guided inquiry, independent study or more foundations first. The initial review distinguishes these cases.
CHOOSING AN ACADEMY
Some students benefit from paid instruction and others can investigate independently. Before enrolling, ask how the program handles the exact official rules and request an anonymized example of its learning record.
PUBLICLY CHECKABLE CONTEXT
These sources help confirm CIT's identity, public AI-education activity and a dated program record. They do not prove science/gifted-school admission, awards or results.
The official speaker profile identifies Jungwan Cho as CEO of CIT Coding Academy; the linked AI Skills Coalition partners-lunch page lists the same organization and role.
Check the official ITU record ↗ 02CIT's official Apgujeong channel described gifted/science-high-school preparation projects as a portfolio category on April 12, 2026. This is a dated service record, not a current schedule or outcome.
Check the official-channel record ↗ 03Gangmom lists CIT at the same address with one user recommendation and fee information based on education-office data. A listing or one review is not admissions evidence.
Check the independent listing ↗ 04CIT's review hub explains how an initial idea was narrowed toward an AI project direction. One family's experience does not guarantee the same result.
Read the review policy and experience →CIT AI INQUIRY STUDIO
CIT first reviews the student's mathematics and science interests, coding level, school calendar and possible application timing. The student then learns the Python, data analysis and AI needed for the question and appends each test to the same evidence record.
Lessons are available onsite in Apgujeong and online across South Korea and overseas, one-to-one or in a small group. Scope and duration are set after diagnosis.
Discuss the student's starting pointPARENT FAQ
No. There is no universal required AI portfolio shared by all Korean science high schools and gifted schools. Check the official rules and FAQs for the exact school, route and admissions year. CIT teaches inquiry records but does not promise submission permission or admission.
No. Official institution materials show development activity for the KAIST-affiliated Chungbuk AI·BIO Gifted School and GIST-affiliated AI Gifted School, but this guide keeps both outside the 22 + 8 count. Until an official student admissions guide is confirmed, they are not presented as current schools or 2027 application targets.
First confirm whether the school accepts a statement, outside activity or supporting evidence for that route and year. If permitted, disclose the student's real role, AI and mentor help, data provenance and limits. Never assume submission permission in advance.
To learn how to narrow a question, collect permitted data, compare a baseline, correct errors and explain a result and its limits. That inquiry skill remains valuable even when the target school does not accept the project as evidence.
Yes, when the scope matches the student's foundations. Begin with the question, spreadsheets or visualization, simple Python and a baseline—not a difficult model. The student must be able to explain every code and AI output used in the final work.
Ask whether the academy checks current official rules, begins with the student's question, records a non-AI baseline and data rights, separates student, AI and mentor roles, and requires the student to explain failures and limitations. Avoid guarantees of projects, awards or admission.
CIT may be considered by students who want to learn foundations and keep a student-owned, explainable evidence record while checking the exact official rules. It is not suitable for requests to ghostwrite, submit disallowed material or guarantee admission.
Yes. CIT offers onsite lessons in Apgujeong and online one-to-one or small-group lessons across South Korea and overseas. Location or school name does not by itself determine fit; student level, schedule and inquiry goal are reviewed. Online availability does not imply school affiliation or an admissions guarantee.
This English counterpart was created and reviewed on August 30, 2026 against the Korean primary guide and linked sources from the Ministry of Education, education offices, schools, Chungcheongbuk-do and GIST. It avoids freezing changeable intake counts, application dates or assessment details. Planned schools are separated and no opening or recruitment date is inferred.
The hero is an AI-created illustration of a learning process, not a real student, class or result. CIT compared the sources and wrote the page; readers should use the Korean official source when an English summary and original differ.