top of page
PrepAlly-logo
Programs & Survey Results
English | 中文

2026 Summer Programs

AI Powered Teen Entrepreneurship (FULL)

Led by Stanford lecturer & Silicon Valley entrepreneur Dr. David. In 3 weeks: AI → app → startup pitch—creating standout projects for competitions and portfolios.

Scholastic Writing  Contest Prep (FULL)

Guided by award-winning mentor Jayden. Students complete and refine 3 submissions, targeting Scholastic Gold/Silver Keys.

AI + Robotics Program

Taught by a Georgia Tech tenured professor. Students complete real-world projects and presentations; top performers may receive 1:1 research mentorship.

Interdisciplinary Research (Medicine / Humanities / AI)

Professor-led, personalized research—from topic to final paper or conference presentation—building distinctive academic profiles.

Advanced SAT Boot Camp

Expert-led program targeting core concepts and common mistakes.  Workshops, digital practice tests, and targeted review to boost accuracy and speed.

Advanced ACT Boot Camp

Expert-led training focused on key concepts and frequent errors. Workshops, mock exams, and targeted review to improve accuracy and performance.

AI × Business/ Social Science Research (Full)

Led by a Top 10 business school professor. Students develop personalized research from idea to analysis and paper.

Congressional Award Program (Full)

Guided by an expert mentor to complete requirements and submit apps for the Bronze Certificate, with continued support toward Gold Medals.

AI in Healthcare Research Program

 Led by a Duke professor. Students complete literature review, research proposal, and final presentation in AI × healthcare.

AI × Business/ Social Science Research (Inter

Led by a Top 10 business school professor. Students develop personalized research from idea to analysis and paper.

2026 Fall & Winter Programs
(More to come)

Computational Thinking Program

Taught by a Texas State CS professor. Focus on problem-solving, systems thinking, and interdisciplinary innovation with project-based learning.

Summer Programs & Internship Applications

Expert guidance on strategy, program selection, and essays. Students complete 2–3 high-quality applications.

Data Science Boot Camp

Hands-on data analysis skills with a final project and DOI publication. Taught by a Fortune 500 industry expert.

Congressional Award Program

Guided by an expert mentor to complete requirements and submit apps for the Bronze Certificate, with continued support toward Gold Medals.

USAAIO Prep (AI Olympiad)

 Led by a Texas State CS professor. Covers AI-related math, statistics, ML applications, and past problems for 2027 competition.

AI-Powered App Innovation Camp

Led by Stanford lecturer & Silicon Valley entrepreneur.
AI → app → startup pitch—creating standout projects for competitions and portfolios.

2025 Summer Congressional Award Program

Student feedback was very positive overall. 90.4% rated the workshops 8–10 for helping them understand CAP guidelines and requirements, with most giving a 9 or 10.

Homework was also highly helpful for completing the Bronze Certificate: 95.2% rated it 9 or 10.

Students valued coach feedback, mentor breakout rooms, Q&A, activity examples, and guidance on write-ups, revisions, and the four CAP goal areas.

By the end, 85.7% felt ready to submit the Bronze Certificate before the deadline, showing strong progress toward the program’s core goal.

reading & writing camp_feedback chart.png

100% of students rated the program Excellent or Good (40% Excellent, 60% Good). 

Students found the class engaging and thought-provoking, with highlights including discussions, reading/video analysis, and opening quote activities. Many reported improved critical thinking (70%) and reading/writing skills (60%).

Most helpful were opening quote discussions and homework with feedback (60%), followed by lectures and video/reading activities. 

2025 Summer Reading and Writing Camp

Screenshot 2026-04-23 at 20.47.34.png

2025 Winter AI + Robotics Camp 

Student feedback was very positive. 62.5% felt the difficulty was “just right,” while others found it easy or appropriately challenging.

Lab Hour sessions were especially effective—100% said they helped with idea development and final projects. Most engaging were hands-on coding (93.8%) and live demos (62.5%).

Students valued the project-based approach, exploring real-world robotics, sensors, controls, and AI applications. Overall, they appreciated applying engineering concepts through programming in a practical, engaging way.

Student Survey Results

Screenshot 2026-04-23 at 22.16.12.png
Weixin Image_20260425094929_1113_693.jpg
Screenshot 2026-04-23 at 20.25.01.png

2025 Winter AI-Powered App Innovation Camp

100% of students rated the camp Excellent or Good (45.5% Excellent, 54.5% Good).

Most (63.6%) felt the program balanced breadth and depth, while others valued either wider exposure or deeper exploration.

Students especially enjoyed the hands-on, project-based format—building apps, iterating on designs, and going from idea → MVP → real-world impact.

Many described the camp as fun, practical, and highly educational, with several continuing to improve their apps after the program.

2026 Winter Computational Thinking Camp 

100% of students reported improved understanding of computational thinking and its real-world applications after five weeks.

Students especially valued the hands-on, creative approach—building games, simulating snowflakes, estimating Pi with Monte Carlo methods, and solving problems in multiple ways.

They found the program more engaging than traditional classes, with a focus on thinking processes, creativity, and real-world applications, supported by interactive learning and feedback.

2026 Spring AI in Healthcare Research Program

Student feedback was highly positive overall. 100% rated the program Excellent or Good, and 100% said it met or exceeded expectations. Students were satisfied with their final projects, with 83.4% reporting satisfied or very satisfied.

The top learning area was literature review (75%), along with topic selection, research design, and data analysis. Many students said they gained valuable skills in finding credible sources, reading journal articles, and asking strong research questions.

Interest in the field also increased: 91.7% said the program strengthened their interest in AI in Healthcare. 

bottom of page