Alex Reinhart

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Assistant teaching professor

Carnegie Mellon University

United States

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About

Dr. Alex Reinhart is an Assistant Teaching Professor at Carnegie Mellon University in the United States. His research interests include statistical education, regression analysis, and the impact of artificial intelligence on student learning and writing. He has contributed to various publications focusing on statistical reasoning, formative feedback, and real-time analysis of COVID-19 trends.

Recent Grants

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Point process modeling with spatiotemporal covariates for predicting crime

Open Date: 2016-08-01

Close Date: 2018-07-01

Articles (13)

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2025

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UNITED STATES

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Ronald Yurko

Assistant Teaching Professor

Carnegie Mellon University

UNITED STATES

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Joshua Salomon

Professor of Health Policy

Stanford University

UNITED STATES

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Jerzy Wieczorek

Assistant Professor

Colby College

UNITED STATES

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Jacob Bien

Professor

University of Southern California

UNITED STATES

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Alex Reinhart

Research Interests

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Contact this professor

About

Recent Grants

Articles (13)

Do LLMs write like humans? Variation in grammatical and rhetorical styles

The Regressinator: A Simulation Tool for Teaching Regression Assumptions and Diagnostics in R

Developing Students’ Statistical Expertise Through Writing in the Age of AI

Learning While Learning: Psychology Case Studies for Teaching Regression

Bias-Adjusted Predictions of County-Level Vaccination Coverage from the COVID-19 Trends and Impact Survey

Visualizing formative feedback in statistics writing: An exploratory study of student motivation using DocuScope Write & Audit

Dynamic spinal reflex adaptation during locomotor adaptation

Think-Aloud Interviews: A Tool for Exploring Student Statistical Reasoning

The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination

An open repository of real-time COVID-19 indicators

Time trends, factors associated with, and reasons for COVID-19 vaccine hesitancy: A massive online survey of US adults from January-May 2021

COVID-19 vaccine hesitancy January-May 2021 among 18-64 year old US adults by employment and occupation

Expanding the Scope of Statistical Computing: Training Statisticians to Be Software Engineers

Collaborators (9)

Jeremy D. Goldhaber-Fiebert

David Brown

Ashley Dalrymple

Robin Mejia

Frauke Kreuter

Ronald Yurko

Joshua Salomon

Jerzy Wieczorek

Jacob Bien

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