Hi, I'm Maddie Lee!
I'm a doctoral candidate at Vanderbilt University studying technology-enhanced learning and visual cognition under the supervision of Dr. Daniel T. Levin. Learn more about my professional work below!
My research explores how constraints of basic cognitive and perceptual processing influence learning in applied educational contexts. I'm an interdisciplinary collaborator with experience doing research in labs, classrooms, and nursing education settings. My expertise lies between self-regulation, event cognition, and experiential learning. My career interests encompass research and development for technology-enhanced learning interventions.
Lee_Resume_Dec2023.pdfMy resume (Dec, 2023)
Lee_TemporalDisruption_Masters.docxLatest publication in JEP: General (April, 2024)
ReflectionPsychonomics2023_Final.pdfRecent conference presentation (Psychonomic Society 2023)
Technical Skills
Data Analysis: R, SPSS, SAS, JASP, Prism Research Techniques: EEG, fMRI, eye-tracking
Programming: Python, JavaScript, HTML UX Development: Final Cut Pro, Qualtrics, Canva
Quantitative Methods: Multilevel modeling, predictive modeling, unsupervised learning
(i.e., cluster analysis, exploratory graph analysis)
Select Publications and Presentations
1. Lee, M. & Levin, D. (2024). Evidence for an event-integration window: A cognitive temporal window supports flexible integration of multimodal events. Journal of Experimental Psychology: General. Advance online publication. https://doi.org/10.1037/xge0001577
2. Lee, M., Jaeger, C., & Levin, D. (2023). To Search is to See: Reducing incidental change blindness via intentional search tasks. Journal of Experimental Psychology: Human Perception and Performance. 49(8), 1158.
3. Lee, M., Vatral, C., Cohn, C., Davalos, E., Biswas, G., Hall, E., Holt, J., Jesse, M., & Levin, D. T. (2023). Experience, reflect, and learn: Developing an intensive post-simulation guided reflection to enhance experiential learning in nursing education. Poster presented at Psychonomic Society Annual Meeting. San Francisco, CA.
4. Vatral, C., Lee, M., Cohn, C., Davalos, E., Levin, D., & Biswas, G. (2023, June). Prediction of Students’ Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment. In International Conference on Artificial Intelligence in Education (pp. 266-271). Cham: Springer Nature Switzerland.
Get in touch with me at madison.j.lee@vanderbilt.edu
