# Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms This work conducts a survey asking secondary education students on whether a given assistance is effective in solving a problem in an online learning platform. It then provides a cursory glance at the data to view whether a correlation exists between student perception and the measured effectiveness of an assistance. This contains the processed dataset along with the analysis code. ## Analysis ### Requirements The analysis python notebook was ran with Python 3.9. The requirements can be installed using pip with the requirements.txt file: ```bash pip install -r requirements.txt ``` ### Setup Put `analysis.ipynb`, `helpfulness_logs_202202141438.csv`, and `student_support_logs.csv` (which can be obtained from the [Student Support Dataset](https://osf.io/xvejz)) in the same directory. (folder name) |- analysis.ipynb |- helpfulness_logs_202202141438.csv |- student_support_logs.csv Open and run `analysis.ipynb` from the first cell.