activity
20182021
most citedSAINT+: Integrating Temporal Features for EdNet Correctness Prediction

162 citations · 427 across the 14 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CY2020★ 162 cited

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…

cs.CY2020★ 12 cited

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.…

cs.HC2020★ 4 cited

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…

cs.HC2020★ 2 cited

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…

cs.LG2020

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…

cs.LG2020★ 162 cited

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…

cs.LG2020★ 11 cited

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…