Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Choi, Youngduck"'
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 to remove inefficiencies at every level of food production. The recent
Externí odkaz:
http://arxiv.org/abs/2112.13845
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, since labels for academic performance, such as test scores, are collec
Externí odkaz:
http://arxiv.org/abs/2107.04009
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 strategy to improve the generalization ability of KT models: we propose
Externí odkaz:
http://arxiv.org/abs/2105.00607
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing model that separately processes exercise information and student response information. Following the architecture of SAINT, SAINT+ has an encoder-decoder structure
Externí odkaz:
http://arxiv.org/abs/2010.12042
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. However, despite the effectiveness and efficiency that ITS brings to s
Externí odkaz:
http://arxiv.org/abs/2009.08976
Autor:
Choi, Youngduck, Na, Yoonho, Yoon, Youngjik, Shin, Jonghun, Bae, Chan, Suh, Hongseok, Kim, Byungsoo, Heo, Jaewe
Learning Path Recommendation is the heart of adaptive learning, the educational paradigm of an Interactive Educational System (IES) providing a personalized learning experience based on the student's history of learning activities. In typical existin
Externí odkaz:
http://arxiv.org/abs/2005.03818
Autor:
Lee, Youngnam, Kim, Byungsoo, Shin, Dongmin, Kim, JungHoon, Baek, Jineon, Lee, Jinhwan, Choi, Youngduck
Intelligent Tutoring Systems (ITSs) have been developed to provide students with personalized learning experiences by adaptively generating learning paths optimized for each individual. Within the vast scope of ITS, score prediction stands out as an
Externí odkaz:
http://arxiv.org/abs/2005.05021
Autor:
Lee, Youngnam, Shin, Dongmin, Loh, HyunBin, Lee, Jaemin, Chae, Piljae, Cho, Junghyun, Park, Seoyon, Lee, Jinhwan, Baek, Jineon, Kim, Byungsoo, Choi, Youngduck
Student dropout prediction provides an opportunity to improve student engagement, which maximizes the overall effectiveness of learning experiences. However, researches on student dropout were mainly conducted on school dropout or course dropout, and
Externí odkaz:
http://arxiv.org/abs/2002.11624
Autor:
Choi, Youngduck, Lee, Youngnam, Cho, Junghyun, Baek, Jineon, Kim, Byungsoo, Cha, Yeongmin, Shin, Dongmin, Bae, Chan, Heo, Jaewe
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 models with attention mechanism have outperformed traditional approaches su
Externí odkaz:
http://arxiv.org/abs/2002.07033
Autor:
Choi, Youngduck, Lee, Youngnam, Cho, Junghyun, Baek, Jineon, Shin, Dongmin, Yu, Hangyeol, Shim, Yugeun, Lee, Seewoo, Shin, Jonghun, Bae, Chan, Kim, Byungsoo, Heo, Jaewe
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 predicting exam score or review correctness. A common way of circumventing lab
Externí odkaz:
http://arxiv.org/abs/2002.05505