
"Street Data" revolutionizes education by rejecting standardized testing for equity. What if student voices matter more than test scores? Dr. Shawn Ginwright calls it "absolutely path-breaking" - inspiring mini-grants nationwide and sparking debates that transform how we measure educational success.
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지식을 흥미롭고 예시가 풍부한 인사이트로 전환
핵심 아이디어를 빠르게 캡처하여 신속하게 학습
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Imagine a world where schools measure success not by test scores, but by how deeply students feel seen and heard. This is the revolutionary vision of "Street Data"-a paradigm shift that challenges our obsession with standardized metrics and instead centers the lived experiences of those at the margins. In an educational landscape dominated by what we might call "satellite data" (hovering far above classrooms) and "map data" (providing slightly more detail), street data emerges as the missing piece-qualitative, experiential information gathered at eye level through human interaction. Why has American education flatlined despite billions spent on closing achievement gaps? Perhaps we've been collecting and valuing the wrong kind of data all along. The street data approach flips the traditional dashboard by honoring non-Western ways of knowing and focusing on what's right in our students rather than what's wrong. It's akin to what businesses call "thick data"-ethnographic research that uncovers emotions and stories that numbers alone can't capture.
Street Data의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.
Street Data을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

생생한 스토리텔링을 통해 Street Data을 경험하고, 혁신 교훈을 기억에 남고 적용할 수 있는 순간으로 바꿉니다.
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