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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
2012
Reed College
B.A. in Biology (Behavioral Neuroscience) Portland, ORThesis: Feeding Regulation in the Maternal Mouthbrooder A. Burtoni
2016
University of Texas at Austin
M.S. in Statistics Austin, TXThesis: Learning Analytics in Large College Courses: Facilitating Retention and Transfer of Learning Through Targeted Retrieval Practice
2018
University of Texas at Austin
Ph.D. in Educational Psychology (Learning Sciences) Austin, TXDissertation: Educational Practices in Large College Courses and Their Effects on Student Outcomes
Professional Experience
2016present
Editorial Assistant
Journal of Applied Research in Memory & Cognition Remote- Copyediting all manuscripts accepted by JARMAC
2017
Statistical Consultant
Department of Statistics and Data Sciences, UT Austin Austin, Texas- 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
2017present
Assistant Professor of Instruction
Department of Statistics and Data Sciences, UT Austin Austin, TX- Computational Biology
- Biostatistics
- Data Analysis for Health Sciences
- Short Courses: Intro to Causal Inference, Intro to Bayesian Statistics
Research Experience
20132017
Department of Educational Psychology, UT Austin
Graduate Research Assistant Austin, TX- Learning and Memory research relating to feedback, error detection, encoding/retrieval (Drs Butler, Yan, and colleagues)
2016
UT College of Education, RAND Corporation
Research Assistant Austin, TX- 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)
20172018
Project 2021, UT Austin
Graduate Institutional Researcher Austin, TX- 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
2015
The Future of Medical Education: Assessing the Impact of Interventions on Long-Term Retention and Clinical Care
Journal of Graduate Medical Education, 7(3)Butler AC, Raley ND
2017
Retrieving and Applying Knowledge to Different Examples Promotes Transfer of Learning
Journal of Experimental Psychology: Applied, 23(4)Butler AC, Black-Maier AC, Raley ND, Marsh EJ
2017
Using Principal Stratification to Assess Intervention Effectiveness at the Item Level
NCME Annual Meeting San Antonio, TX2017
Optimizing Retrieval Practice In Large College Courses through Factor Analysis of Quizzes
AERA Annual Meeting San Antonio, TX2018
Towards Consilience in the Use of Feedback to Promote Learning: A Review of the Literature.
Book Chapter: Psychlogy of Learning and Motivation, 69(1)Butler AC, Woodward NR
2018
Educational Practices in Large College Courses: What Really Goes On?
AERA Annual Meeting New York, NY2019