Tutoring systems that are sensitive to affect show considerable promise for enhancing student learning experiences. Creating successful affective responses requires …
This report is based on the discussion that emerged from a convening of a panel of 22 experts in artificial intelligence (AI) and in learning. It introduces three layers that can frame …
The past few years have seen a surge of interest in deep neural networks. The wide application of deep learning in other domains such as image classification has driven …
Prior research suggests students can sometimes learn more effectively by explaining and correcting example problems that have been solved incorrectly, compared to problem …
Emotions and other affective states play a pivotal role in cognition and, consequently, the learning process. It is well-established that computer-based learning environments (CBLEs) …
K Mulqueeny, V Kostyuk, RS Baker… - International Journal of …, 2015 - Springer
Background The expanded use of online and blended learning programs in K-12 STEM education has led researchers to propose design principles for effective e-learning systems …
For the last 50 years, intelligent tutoring systems have been developed with the aim to supporting one of the most successful educational forms–individual teaching. Recent …
Digital learning games are designed to foster both student learning and enjoyment. Given this goal, an interesting research topic is whether game mechanics that promote learning …
In recent years, a novel approach for emotion recognition has been reported, which is by keystroke dynamics. The advantages of using this approach are that the data used is rather …