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NEW EdWorkingPapers
Expanded High-Speed Broadband Internet Access at Home and Student Achievement: Evidence from a Federal Subsidy Program
Policymakers have argued that expanding home broadband would improve educational outcomes. However, prior studies report mixed, null, or negative effects on achievement, with limited post-pandemic evidence. Using district-level achievement and enrollment data from a national broadband subsidy program serving 23 million low-income households, we examine whether increased uptake is associated… more →
When Youth Enter The Chat: An Epistemic Shift in the Validation of LLM-Based Measures of Student Talk
Large Language Models (LLMs) are being used increasingly to measure aspects of student discourse (e.g. talk moves, collaboration, equity of voice) at scale. Typically, LLM-based measures of student talk use transcriptions of classroom conversations that only include verbal contributions, which de-contextualize student language. Common practices for validating these measures include comparing… more →
The Chronic(les) of Absenteeism Measurement: Unpacking the Many Measures of Attendance and Evidence for a Lower Chronic Absenteeism Threshold
This study investigates how absenteeism can be more rigorously measured as an early warning indicator of future academic risk.
What’s in Play: The Strategic and Symbolic Use of Racial Equity Frames When Racial Politics Shift
Shifting racial politics place substantial pressures on organizations to navigate whether and how to sustain DEI commitments. In this study, I examine how partnerships between public school districts and private school improvement organizations (SIOs) responded to shifting environmental pressures around racial equity in their espoused goals and practice over time. I found that organizations… more →
Measuring Academic Behaviors at Scale: Developing Longitudinal Measures of “Noncognitive” Skills Using Administrative Data and Examining Predictive Validity
Academic behaviors, as reflected in administrative indicators such as attendance and suspensions, are widely used in education research. However, limited guidance exists on how to measure them longitudinally and at scale. Using longitudinal data from Boston Public Schools students followed from kindergarten through high school (N = 12,232), we compare grade-specific point-in-time indicators… more →
Helping the Many by Tutoring the Few: The Social Multiplier of Early Literacy Instruction
Tutoring is almost always evaluated by randomizing students within schools, a design that differences out any spillover onto classmates. We instead randomize 81 Danish schools and 2,583 kindergartners, tutoring a few children in each and testing all. Decoding improved 0.38 standard deviations among the pre-registered target group and 0.27 SD school-wide. Bounds requiring only the test’s range… more →
Policy and Practice Series
EdTalks
Centering Teachers in the AI Era
What happens when teachers are treated as professional decision-makers, not just end users of AI tools?
Weigh in: What’s on your mind regarding AI and the teaching profession? >>
We’ll soon record a conversation about the future of the teaching profession in an AI-enabled education system, grounded in two recent EdWorkingPapers.

Maya Kaul representing Landscape Analysis of the Teaching Profession

Dorottya Demszky representing Practitioner Voices Summit: How Teachers Evaluate AI Tools through Deliberative Sensemaking

Constance Lindsay, EdWorkingPapers Review Board member, facilitating the conversation