A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education

In fact, the increasingly digitalized education tools and the popularity of online learning have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. Despite gratifying achievements have demonstrated the great potential and bright development prospect of introducing AI in education, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. Hence, this talk will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice.