1. Artificial Intelligence in Education

Artificial Intelligence in Education (AIEd) tries to improve education using AI and DL. It incorporates knowledge tracing, question analysis, student grade prediction.

2. Pre-training Methods in Education

Pre-training is the technique that is utilized in the various areas: NLP, Computer Vision, Speech Recognition and so on, AIEd is not an exception. In this case pre-training is used to predict student's score on the exams like SAT or whether student will graduate or not. Most of previous pre-training methods are actually NLP tasks where data is produced from learning materials. One of the previous models is Test-aware Attention-based Convolutional Neural Network (TACNN) which tries to predict the difficulty of the exam question. Additionally, there was another model QuesNet which is embedding model trained on the questions data. This model showed the best performance compared to other models.