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Plateau Quest.

Plateau Quest

English learning, rooted in local life.

Timeline
Sep 2024 – Present
Role
Leader & Core Developer
Status
Working platform · Ongoing
Actual application screenshot · Main interface · Captured October 31, 2026.

Overview

I led the development of an online English-learning platform to improve access for students in under-resourced Tibetan regions. The platform combines gamified vocabulary, sentence-building, and fill-in-the-blank activities with AI-generated materials tailored to local cultural contexts.

The Challenge

The project began with a practical question: how could an English-learning platform respond to the lives and learning needs of children in Tibetan communities? Rather than choosing content only from a distance, I conducted research at a primary school in Lhunzhub County, Tibet, to inform the platform’s design.

My Contribution

01

Listen before building

Surveyed 40 students, interviewed two students for two hours each, and consulted five English teachers about learning and instructional needs.

02

Build the learning experience

Led design and front-end development for vocabulary, sentence-building, and fill-in-the-blank exercises, using AI-generated materials adapted to local cultural contexts.

03

Lead and iterate

Led a three-member technical team and collaborated with 1024 Foundation mentors to apply AI agents in coding workflows. Collected feedback from 32 users and completed two rounds of iteration.

Process & Design

  1. 01

    Field research

    On-site student surveys, extended interviews, and teacher conversations in Lhunzhub County.

  2. 02

    Contextual learning

    Familiar cultural contexts shaped AI-generated learning materials and gamified exercises.

  3. 03

    First working version

    Spent 120+ hours over 20 days in summer 2025 developing and launching the first working version.

  4. 04

    Feedback and revision

    Two rounds of iteration refined the content, game mechanics, and reward system.

A closer look.

Actual application screenshot · Mighty Yak — grassland exploration and sentence-building.
Actual application screenshot · The Little Market — listen to an order and prepare a tray.
Actual application screenshot · Snow Radio — English guidance along a mountain route.

Outcomes

The platform served 62 users. Feedback from 32 users informed two rounds of iteration, improving the learning content, game mechanics, and rewards. The project remains ongoing.

Users served
62
Feedback contributors
32
Iteration rounds
2

Participation figures reflect users served and feedback received, rather than a measured change in learning outcomes.

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