A personalized e-learning system is effective in imparting enhanced learning to its users. As compared to a conventional e-learning system, which provides similar contents to each …
X Song, J Li, T Cai, S Yang, T Yang, C Liu - Knowledge-Based Systems, 2022 - Elsevier
Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of online education that seeks to assess students' mastery of a concept based on their …
Abstract Knowledge Tracing (KT) aims to trace the student's state of evolutionary mastery for a particular knowledge or concept based on the student's historical learning interactions with …
High-quality education is one of the keys to achieving a more sustainable world. In contrast to traditional face-to-face classroom education, online education enables us to record and …
S Maghsudi, A Lan, J Xu… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet …
D Shin, Y Shim, H Yu, S Lee, B Kim… - LAK21: 11th International …, 2021 - dl.acm.org
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing model that separately processes exercise information and student response information …
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) …
W Lee, J Chun, Y Lee, K Park, S Park - Proceedings of the ACM Web …, 2022 - dl.acm.org
Knowledge tracing is the task of understanding student's knowledge acquisition processes by estimating whether to solve the next question correctly or not. Most deep learning-based …
Abstract Knowledge tracing (KT) is a crucial technique to predict students' future performance by observing their historical learning processes. Due to the powerful …