162 citations · 370 across the 12 of their papers we have counts for
12 papers
Raw Produce Quality Detection with Shifted Window Self-Attention
Oh Joon Kwon, Byungsoo Kim, Youngduck Choi
Global food insecurity is expected to worsen in the coming decades with the accelerated rate of climate change and the rapidly increasing population. In this vein, it is important…
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
Byungsoo Kim, Hangyeol Yu, Dongmin Shin +1
The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However,…
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…
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu +3
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing model that separately processes exercise information and student response information. Follow…
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement
Byungsoo Kim, Hongseok Suh, Jaewe Heo +1
An Intelligent Tutoring System (ITS) has been shown to improve students' learning outcomes by providing a personalized curriculum that addresses individual needs of every student.…
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement
Youngnam Lee, Byungsoo Kim, Dongmin Shin +4
Intelligent Tutoring Systems (ITSs) have been developed to provide students with personalized learning experiences by adaptively generating learning paths optimized for each indivi…
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction
Youngduck Choi, Yoonho Na, Youngjik Yoon +5
Learning Path Recommendation is the heart of adaptive learning, the educational paradigm of an Interactive Educational System (IES) providing a personalized learning experience bas…
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…
EdNet: A Large-Scale Hierarchical Dataset in Education
Youngduck Choi, Youngnam Lee, Dongmin Shin +7
With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe f…
Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling
Byungsoo Kim, Hwanjo Yu, Gary Geunbae Lee
Previous studies in Open Information Extraction (Open IE) are mainly based on extraction patterns. They manually define patterns or automatically learn them from a large corpus. Ho…