Join us on 3rd March 2021 for the eighth session from the CSCL in Times of Crisis webinar series. We hope to see you there to explore Using Multimodal Data to Prepare the Next Generation of Data Scientists with Bertrand Schneider and Javaria Hassan, Harvard University.

Using Multimodal Data to Prepare the Next Generation of Data Scientists

Data literacy is becoming a central skill for the next generation of STEM students. However, most data science courses focus on pre-collected datasets and neglect challenges associated with data collection and data cleaning. This project is about teaching data science skills through real-world, ecological, multimodal datasets. In this presentation, I will describe two technological contributions: (1) a website that allows learners to collect rich multimodal datasets, from any webcam or video recording, by using machine learning algorithms that track eye movements, body postures, heart rate and emotions; (2) a learning portal, which provides instructional videos to teach concepts related to multimodal learning analytics. This portal also captures multimodal data from learners (e.g., gaze orientation, emotional states, body postures) as they are watching videos. This data serves two purposes: advance our understanding of students’ state as they are learning from video material, and provide students with a personal dataset to analyse.

You can stream the webinar and participate in the subsequent Q & A session here on Wednesday, March 3rd 2021, 3:00 – 4:00 pm (GMT, London, UK):

CSCL in Times of Crisis Webinar Series

The Computer-Supported Collaborative Learning (CSCL) community of the International Society of the Learning Sciences (ISLS) together with the Network of Academic Programs in the Learning Sciences (NAPLeS) are offering a live webinar series with presentations as well as Q & A about effective practices, approaches, and tools for fostering a sense of co-presence and community in online teaching and learning.