no code implementations • 8 May 2020 • Youngduck Choi, Yoonho Na, Youngjik Yoon, Jong-Hun Shin, Chan Bae, Hongseok Suh, Byung-soo Kim, Jaewe Heo
Finally, Rocket provides students with fine-grained information on their learning path, giving them an avenue to assess their own skills and track their learning progress.
5 code implementations • 14 Feb 2020 • Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byung-soo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo
To the best of our knowledge, this is the first work to suggest an encoder-decoder model for knowledge tracing that applies deep self-attentive layers to exercises and responses separately.
Ranked #2 on
Knowledge Tracing
on EdNet
no code implementations • 1 Jan 2020 • Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Dongmin Shin, Hangyeol Yu, Yugeun Shim, Seewoo Lee, JongHun Shin, Chan Bae, Byungsoo Kim, Jaewe Heo
However, such methods fail to utilize the full range of student interaction data available and do not model student learning behavior.
1 code implementation • 6 Dec 2019 • Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Chan Bae, Byung-soo Kim, Jaewe Heo
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 for various tasks such as knowledge tracing and learning path recommendation.