no code implementations • 10 Dec 2019 • Cristina Conati, Oswald Barral, Vanessa Putnam, Lea Rieger
In addition, we show that students' access of the explanation and learning gains are modulated by user characteristics, providing insights toward designing personalized Explainable AI (XAI) for ITS.
1 code implementation • 19 Jun 2019 • Shane D. Sims, Vanessa Putnam, Cristina Conati
Encouraged by the success of deep learning in a variety of domains, we investigate the suitability and effectiveness of Recurrent Neural Networks (RNNs) in a domain where deep learning has not yet been used; namely detecting confusion from eye-tracking data.