162 citations · 427 across the 14 of their papers we have counts for
6 papers · 1 filter
Consistency and Monotonicity Regularization for Neural Knowledge Tracing
Seewoo Lee, Youngduck Choi, Juneyoung Park +2
Knowledge Tracing (KT), tracking a human's knowledge acquisition, is a central component in online learning and AI in Education. In this paper, we present a simple, yet effective s…
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment
Youngnam Lee, Dongmin Shin, HyunBin Loh +8
Student dropout prediction provides an opportunity to improve student engagement, which maximizes the overall effectiveness of learning experiences. However, researches on student…
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
Youngduck Choi, Youngnam Lee, Junghyun Cho +6
Knowledge tracing, the act of modeling a student's knowledge through learning activities, is an extensively studied problem in the field of computer-aided education. Although model…
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
Youngduck Choi, Youngnam Lee, Junghyun Cho +9
Like many other domains in Artificial Intelligence (AI), there are specific tasks in the field of AI in Education (AIEd) for which labels are scarce and expensive, such as predicti…
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
Youngnam Lee, Youngduck Choi, Junghyun Cho +6
Machine learning plays an increasing role in intelligent tutoring systems as both the amount of data available and specialization among students grow. Nowadays, these systems are f…
Auto-Meta: Automated Gradient Based Meta Learner Search
Jaehong Kim, Sangyeul Lee, Sungwan Kim +6
Fully automating machine learning pipelines is one of the key challenges of current artificial intelligence research, since practical machine learning often requires costly and tim…