cscl2015-eyetracking-orchestration

Preprocessing, analysis and visualization scripts for the CSCL2015 conference paper, "The Burden of Facilitating Collaboration: Towards Estimation of Teacher Orchestration Load using Eye-tracking Measures" by Prieto, Sharma, Wen & Dillenbourg.

Basically, this is a set of R scripts to help reproduce the download of raw data (the datasets used have been published in Zenodo (Study 1, Study 2, Study 3), data pre-processing, analysis and visualizations used for the paper. All these processes are tied together by a report written in R Markdown, compiled using the knitr package.

Requirements and Installation

In order to reproduce the paper's data analysis and generate the corresponding report, you need at least the following:

• An internet connection (to download the data)
• The curl tool (to download the data)
• R
• RStudio (optional, but very convenient)
• The knitr package

Usage

Basically, open the cscl2015-eyetracking-orchestration.Rmd file in RStudio, and click on Knit HTML. An HTML version of the report should be generated.

Project structure

The project is organized in a folder structure, inspired by ProjectTemplate:

• data/ : Contains the scripts to download, uncompress and load the raw data
• lib/ : Contains some useful R scripts used throughout the report, such as the functions to calculate rolling windows, extract extreme load episodes to be video coded, etc.