Linking student psychological orientation, engagement, and learning in college-level introductory data science

This repository contains code to reproduce the results in our CogSci 2025 paper, Linking student psychological orientation, engagement, and learning in college-level introductory data science.

Overview of our study

Introductory data science courses have the potential to provide students from diverse backgrounds skills for working with and reasoning about data. However, what predicts success in these courses remains poorly understood. Here we investigate how students’ initial psychological orientation relates to their subsequent engagement and learning. In Study 1, we took an observational approach, analyzing data from 1306 students across 11 institutions using an interactive online textbook. Students’ psychological orientation, (e.g., math anxiety, stress expectations) predicted performance on assessments administered throughout the term. In Study 2, we developed and tested an intervention targeting these aspects of students’ learning experience among 146 students enrolled in a single course. Preliminary analyses suggest that this intervention shifted students’ beliefs about the relationship between stress and learning. Taken together, this work contributes to our understanding of how affective and cognitive processes interact in real-world educational settings.

Organization of this repo

File structure

├── analysis
│   ├── observational
│   └── experimental    
├── data
│   ├── 2023-college
│   └── 2024_fall_clean   
├── experiments
│   ├── control_module
│   ├── intervention_module
│   └── survey_items
├── paper
├── results
│   ├── 2023-college
│   └── 2024_fall

Description of directories

• analysis: contains R scripts for data processing and analysis.

  • observational: includes all scripts to clean and analyze data in study 1. Run run_R_2023_scripts.sh to derive all figures and results.
  • experimental: includes all scripts to clean and analyze data in study 2. Run run_R_2024_scripts.sh to derive all figures and results.

• data: includes data for both studies. See data/readme.md for details.

• experiments: includes control and intervention materials for study 2.

• results: includes unedited figures in paper and modeling results.

• paper: contains the LaTeX source code along with figures.