Learning Research Lab
Our lab aims to discover the primary cognitive and non-cognitive factors that lead to success in learning at STEM and programming majors in Russian universities.
Programming and STEM (Science, Technology, Engineering, and Mathematics) fields are experiencing a growing demand for highly qualified employees to develop both scientific and applied projects. Founded in March 2020, our lab conducts massive longitudinal research of programming and STEM majors to identify the key drivers of learning progress. We aim to take into account an interplay of four types of possible factors: cognitive skills, non-cognitive characteristics (educational and professional attitudes, social environment), gender, and learning style.
We seek to answer the following research questions:
- Who chooses STEM and programming majors in St. Petersburg and Russia as a whole?
- What exogenous characteristics of the students (cognitive abilities, family background, and such) lead to higher achievements and lower chances of drop-out?
- Are there attitudinal characteristics (motivation, engagement, and such) that can counterbalance the effects of a disadvantaged social background and/or low prior academic performance?
- Which learning styles are most and least conducive to academic performance?
Based on these research results, we aim to develop interventions to promote STEM among high school students and increase students' chances of starting a professional career in this field.