GASA Debut at Tsinghua - Penn GSE “Education·Technology·Innovation” Forum
Exploring New Possibilities for Education in the Age of Generative AI
Read storyGASA creates meaningful learning experiences for young people aged 10–18. Learning is about more than remembering answers or earning marks: it is about finding questions worth pursuing, gathering evidence, forming judgments and expressing ideas clearly. Every question, attempt, revision and exchange is part of growth.
Growth means having the courage to face a question without a standard answer. From asking questions and finding evidence to revising ideas, every step counts.
Learning should not be a solitary journey. University scholars, bilingual mentors and workshops help students turn a tentative idea into a question worth exploring.
Learning does not end at submission. Sharing questions, discoveries and work helps one person’s exploration become a starting point for others.
We value where answers come from: how questions arise, sources are found, AI is used and opinions change. This authentic process is a precious part of learning.
Exploring New Possibilities for Education in the Age of Generative AI
Read storyEstablishing verified evidence chains, guarding against commercial ghostwriting and unverified AI synthesis to protect authentic inquiry.
Read storyEngaging global students aged 10–18 in authentic inquiries across AI, natural sciences, and interdisciplinary writing with double-blind reviews.
Read storyTesting intellectual depth and authentic inquiry through the Challenge, while cultivating daily linguistic inquiry and cognitive modeling through Murmur.
For ages 10–18: primary students begin with interdisciplinary exploration, while secondary students develop interests in Humanities & Social Sciences, Science & Engineering, or Medicine & Life Sciences. All four tracks accept individual entries.
“Not a correction tool, but an AI companion that helps you notice.” Grounded in Socratic inquiry and voice-first gentle whispers (≤12 words), Murmur updates the dynamic Learner Model without breaking conversational flow.