Learning at a Cafe and Learning at a Lab: Integrating Learning Logs with Smart Eyewear and Environmental Sensor Data

This paper reports an innovative data capturing pipeline for learner modeling by integrating learning logs with physiological and environmental sensor data. The learning logs are collected from BookRoll, an ebook reader. Wearable device signals consist of the user’s affective state from a new version of the eye movement tracking device JINS Meme. An Omron sensor was used to collect environmental data like temperature, noise level, humidity, and luminescence. The architecture of the data collection and its potential are presented in this paper: As a pilot study participants did calculation and comprehension tasks in the ebook reader in two environmental conditions: one within a research lab and one at a cafe to simulate self-study environments. The data from the sensors were collected and synchronized to provide descriptive statistics.