CK Yeung, DY Yeung - Proceedings of the fifth annual ACM conference …, 2018 - dl.acm.org
Knowledge tracing is one of the key research areas for empowering personalized education. It is a task to model students' mastery level of a knowledge component (KC) based on their …
Educational Data Mining (EDM) is a research field that focuses on the application of data mining, machine learning, and statistical methods to detect patterns in large collections of …
It is well known that weight initialization in deep networks can have a dramatic impact on learning speed. For example, ensuring the mean squared singular value of a network's input …
In online education systems, for offering proactive services to students (eg, personalized exercise recommendation), a crucial demand is to predict student performance (eg, scores) …
With the development of online education systems, a growing number of research works are focusing on Knowledge Tracing (KT), which aims to assess students' changing knowledge …
Computer-aided education systems are now seeking to provide each student with personalized materials based on a student's individual knowledge. To provide suitable …
T Gervet, K Koedinger… - Journal of …, 2020 - jedm.educationaldatamining.org
Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide learners with individualized feedback and materials adapted to their level of understanding …
JJ Vie, H Kashima - Proceedings of the AAAI conference on artificial …, 2019 - ojs.aaai.org
Abstract Knowledge tracing is a sequence prediction problem where the goal is to predict the outcomes of students over questions as they are interacting with a learning platform. By …
M Khajah, RV Lindsey, MC Mozer - arXiv preprint arXiv:1604.02416, 2016 - arxiv.org
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose …