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Nathaniel Woodward
Educator, Applied Statistician, and Learning Scientist
Experienced lecturer, researcher, and statistical consultant at UT Austin
Interested in opportunities related to STEM education research, applied statistics (predictive modeling, psychometrics), cognitive science, ed tech, institutional data mining, learning/talent analytics, and human-computer interaction.
Education
Reed College
B.A. in Biology (Behavioral Neuroscience)
Portland, OR
2012
Thesis: Feeding Regulation in the Maternal Mouthbrooder A. Burtoni
University of Texas at Austin
M.S. in Statistics
Austin, TX
2016
Thesis: Learning Analytics in Large College Courses: Facilitating Retention and Transfer of Learning Through Targeted Retrieval Practice
University of Texas at Austin
Ph.D. in Educational Psychology (Learning Sciences)
Austin, TX
2018
Dissertation: Educational Practices in Large College Courses and Their Effects on Student Outcomes
Professional Experience
Editorial Assistant
Journal of Applied Research in Memory & Cognition
Remote
2016 - present
- Copyediting all manuscripts accepted by JARMAC
Statistical Consultant
Department of Statistics and Data Sciences, UT Austin
Austin, Texas
2017
- Assited clients with experimental design, cleaning/formatting data, performing statistical analyses, troubleshooting software, interpreting/reporting results. Worked under lead consultant Dr. Michael Mahometa
Teaching Experience
Assistant Professor of Instruction
Department of Statistics and Data Sciences, UT Austin
Austin, TX
2017 - present
- Computational Biology
- Biostatistics
- Data Analysis for Health Sciences
- Short Courses: Intro to Causal Inference, Intro to Bayesian Statistics
Research Experience
Department of Educational Psychology, UT Austin
Graduate Research Assistant
Austin, TX
2013 - 2017
- Learning and Memory research relating to feedback, error detection, encoding/retrieval (Drs Butler, Yan, and colleagues)
UT College of Education, RAND Corporation
Research Assistant
Austin, TX
2016
- Developed, ran, and reported hierarchical Bayesian models estimating the item-level causal effect of Cognitive Tutor usage via principal stratification, with log data from 25,000 students in 150 schools across the country (Supervisor: Dr. Sales)
Project 2021, UT Austin
Graduate Institutional Researcher
Austin, TX
2017 - 2018
- Worked on the Research and Measurement arm investigating teaching effectiveness, curriculum redesign, and student pathways. (Supervisor: Dr. Huk; Dr. Wegner, Dr. Pennebaker)
Selected Publications, Presentations
The Future of Medical Education: Assessing the Impact of Interventions on Long-Term Retention and Clinical Care
Journal of Graduate Medical Education, 7(3)
N/A
2015
Butler AC, Raley ND
Retrieving and Applying Knowledge to Different Examples Promotes Transfer of Learning
Journal of Experimental Psychology: Applied, 23(4)
N/A
2017
Butler AC, Black-Maier AC, Raley ND, Marsh EJ
Using Principal Stratification to Assess Intervention Effectiveness at the Item Level
NCME Annual Meeting
San Antonio, TX
2017
Optimizing Retrieval Practice In Large College Courses through Factor Analysis of Quizzes
AERA Annual Meeting
San Antonio, TX
2017
Towards Consilience in the Use of Feedback to Promote Learning: A Review of the Literature.
Book Chapter: Psychlogy of Learning and Motivation, 69(1)
N/A
2018
Butler AC, Woodward NR
Educational Practices in Large College Courses: What Really Goes On?
AERA Annual Meeting
New York, NY
2018
Analyzing the Languge Used in Course Syllabi and Its Relationship with Educational Practice
Psychonomic Society Annual Meeting
Montreal, QC
2019