Li Tan

Assistant Professor,

Engineering, The Polytechnic School

Other ASU affiliations

Engineering Education Systems and Design, The Polytechnic School

LiTan@asu.edu
Phone: 480-884-2426
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Peralta Hall 330U Mesa, AZ 85212
Mail code: 2180

Campus: Poly
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Long Bio

Li Tan is an assistant professor of engineering education systems and design in the Polytechnic School at Arizona State University. As an interdisciplinary researcher, Tan's research centers on understanding pathways to academic success for students of all demographic and socioeconomic backgrounds with a focus on postsecondary success in engineering fields. Tan’s expertise in causal identification with observational data and quantitative methods with longitudinal datasets has resulted in several publications in top-tier journals, such as American Educational Research Journal, Research in Higher Education, Journal of Research on Educational Effectiveness, Journal of Educational and Behavioral Statistics, and three publications in the Journal of Engineering Education.

Education

PhD University of Missouri

Curriculum Vitae

Google Scholar URL

https://scholar.google.com/citations?user=cyYsD9kAAAAJ&hl=en

Research Interests

Academic pathways, engineering student team collaboration, first-year engineering, long-term influences of K-12 education, longitudinal datasets and methods in engineering education research, quantitative research methods, data science methods

Courses

2024 Fall

Course Number	Course Title
EGR 280	Engineering Statistics
EGR 574	Eng Sys in Context

2024 Spring

Course Number	Course Title
EGR 792	Research
EGR 673	App Quant Meth Eng Ed Res
EGR 792	Research

2023 Fall

Course Number	Course Title
EGR 280	Engineering Statistics
EGR 792	Research
EGR 792	Research

2023 Summer

Course Number	Course Title
EGR 792	Research

2023 Spring

Course Number	Course Title
EGR 792	Research
EGR 673	App Quant Meth Eng Ed Res
EGR 792	Research

2022 Fall

Course Number	Course Title
EGR 280	Engineering Statistics

Expertise Areas

Data Analysis

Data Science

Data Analytics

Quantitative Analysis

Engineering Education Systems