Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018‏ - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Intelligent techniques in e-learning: a literature review

M Ilić, V Mikić, L Kopanja, B Vesin - Artificial Intelligence Review, 2023‏ - Springer
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …

Dynamic key-value memory networks for knowledge tracing

J Zhang, X Shi, I King, DY Yeung - Proceedings of the 26th international …, 2017‏ - dl.acm.org
Knowledge Tracing (KT) is a task of tracing evolving knowledge state of students with
respect to one or more concepts as they engage in a sequence of learning activities. One …

RCD: Relation map driven cognitive diagnosis for intelligent education systems

W Gao, Q Liu, Z Huang, Y Yin, H Bi, MC Wang… - Proceedings of the 44th …, 2021‏ - dl.acm.org
Cognitive diagnosis (CD) is a fundamental issue in intelligent educational settings, which
aims to discover the mastery levels of students on different knowledge concepts. In general …

Early prediction of learners at risk in self-paced education: A neural network approach

H Waheed, SU Hassan, R Nawaz, NR Aljohani… - Expert Systems with …, 2023‏ - Elsevier
To address the demands of modern education and increase flexibility, many higher
education institutions are considering self-paced education programs. However, student …

Learning behavior-oriented knowledge tracing

B Xu, Z Huang, J Liu, S Shen, Q Liu, E Chen… - Proceedings of the 29th …, 2023‏ - dl.acm.org
Exploring how learners' knowledge states evolve during the learning activities is a critical
task in online learning systems, which can facilitate personalized services downstream, such …

Structure-based knowledge tracing: An influence propagation view

S Tong, Q Liu, W Huang, Z Hunag… - … conference on data …, 2020‏ - ieeexplore.ieee.org
Knowledge Tracing (KT) is a fundamental but challenging task in online education that
traces learners' evolving knowledge states. Much attention has been drawn to this area and …

Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation

Y Huo, DF Wong, LM Ni, LS Chao, J Zhang - Information Sciences, 2020‏ - Elsevier
Intelligent education systems have enabled personalized learning (PL). In PL, students are
presented with educational contents that are consistent with their personal knowledge states …

Dynamic cognitive diagnosis: An educational priors-enhanced deep knowledge tracing perspective

F Wang, Z Huang, Q Liu, E Chen, Y Yin… - IEEE Transactions …, 2023‏ - ieeexplore.ieee.org
To provide personalized support on educational platforms, it is crucial to model the evolution
of students' knowledge states. Knowledge tracing is one of the most popular technologies for …

A hierarchical memory network for knowledge tracing

S Liu, R Zou, J Sun, K Zhang, L Jiang, D Zhou… - Expert Systems with …, 2021‏ - Elsevier
Abstract Knowledge Tracing (KT) is a task to acquire students' mastery level of skills based
on their performance in learning process. The existing KT models have gradually achieved …