Classroom insights for institutions committed to excellence. Deep insights into pedagogy, delivered as actionable improvements. 为追求卓越的教育机构量身打造。深度剖析教学方法,提供可落地的优化方案。
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Three layers of advanced AI analysis converge into specific, timestamped recommendations for each lesson. 三大AI分析模块协同工作,为每节课生成精准的、带时间戳的改进建议。
Clarity, pacing, intonation, filler words. Identifies where delivery impacts comprehension. 分析语速、语调、口头禅等要素,找出影响学生理解的表达问题。
Concept sequencing, use of examples and analogies, topic transitions. Detects gaps in explanation flow. 分析知识点编排、举例说明、主题衔接,发现讲解逻辑的薄弱环节。
Body language, hand movements, eye contact, classroom positioning. Correlates with student attention. 分析肢体语言、手势、眼神接触、站位走动,评估对学生注意力的影响。
Specific recommendations with timestamps. Not general advice—precise changes tied to exact moments, ready to implement in your next lesson. 输出带时间戳的改进建议。不是笼统的评价,而是定位到具体时刻的优化方案。
Serving leading private schools, top-performing institutions, and learning centers committed to elevating every classroom interaction. 专为顶尖私校、高水平教育机构和学习中心设计,帮助提升每一次课堂的教学质量。
ABOUT 关于我们
A team from ETH Zürich combining machine learning, computer vision, and educational science. Our models are trained on data from university teaching centers and validated against student outcomes. 团队来自苏黎世联邦理工学院,结合机器学习、计算机视觉和教育学研究。模型基于大学教学中心的真实数据训练,并通过学生学习成果验证有效性。
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ETH Zürich
Rämistrasse 101
8092 Zürich, Switzerland