Research description:
This project will involve students to use advanced machine learning approaches to analyze large scale datasets of psychological tests with responses collected from participants all over the world. The goal of this project is to analyze response patterns from participants, train computational models to optimize the assessment of participants’ psychological traits (e.g., personality) and abilities (e.g., IQ) in an effective and efficient manner, and implement computational models in an app for use by real-world users.
The student will be responsible for data cleaning, data analysis, using machine learning techniques to optimize the models, implementing the models on a website for use by users, and writing a paper for publication.
Year: 2024
Researcher:
Kang Lee, Department of Applied Psychology and Human Development, Ontario Institute for Studies in Education, University of Toronto
Student:
Rogers Yang, University of Toronto