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Rose E. Wang
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Topics: Student LearningTags: Generative artificial intelligence (AI) in education, Instructional design, Instructional practices, Student engagement, Student supportsGenerative AI, particularly Large Language Models (LLMs), can expand access to expert guidance in domains like education, where such support is often limited. We introduce Tutor CoPilot, a Human-AI system that models expert thinking to assist tutors in real time. In a randomized controlled trial… more →
Institutions: Stanford UniversityScaffolding Middle-School Mathematics Curricula With Large Language Models
Topics: MethodsTags: Mathematics educationDespite well-designed curriculum materials, teachers often face challenges implementing them due to diverse classroom needs. This paper investigates whether large language models (LLMs) can support middle school math teachers by helping create highquality curriculum scaffolds, which we define as… more →
Institutions: Stanford UniversityEducator Attention: How computational tools can systematically identify the distribution of a key resource for students
Topics: MethodsEducator attention is critical for student success, yet how educators distribute their attention across students remains poorly understood due to data and methodological constraints. This study presents the first large-scale computational analysis of educator attention patterns, leveraging over… more →
Institutions: Stanford UniversityDoes Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform
Topics: Student LearningProviding ample opportunities for students to express their thinking is pivotal to their learning of mathematical concepts. We introduce the Talk Meter, which provides in-the-moment automated feedback on student-teacher talk ratios. We conduct a randomized controlled trial on a virtual math… more →
Institutions: Stanford University, CueMath, India