New era of artificial intelligence in education: Towards a sustainable multifaceted revolution

F Kamalov, D Santandreu Calonge, I Gurrib - Sustainability, 2023 - mdpi.com
The recent high performance of ChatGPT on several standardized academic tests has thrust
the topic of artificial intelligence (AI) into the mainstream conversation about the future of …

Knowledge tracing: A survey

G Abdelrahman, Q Wang, B Nunes - ACM Computing Surveys, 2023 - dl.acm.org
Humans' ability to transfer knowledge through teaching is one of the essential aspects for
human intelligence. A human teacher can track the knowledge of students to customize the …

A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms

W Zhao, J Xia, X Jiang, T He - Information Processing & Management, 2023 - Elsevier
In this paper, we propose a framework called Gating-controlled Forgetting and Learning
mechanisms for Deep Knowledge Tracing (GFLDKT for short). In GFLDKT, two gating …

Monitoring student progress for learning process-consistent knowledge tracing

S Shen, E Chen, Q Liu, Z Huang… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Knowledge tracing (KT) is the task of tracing students' evolving knowledge state during
learning, which has improved the learning efficiency. To facilitate KT's development, most …

Multiple learning features–enhanced knowledge tracing based on learner–resource response channels

Z Wang, Y Hou, C Zeng, S Zhang, R Ye - Sustainability, 2023 - mdpi.com
Knowledge tracing is a crucial task that involves modeling learners' knowledge levels and
predicting their future learning performance. However, traditional deep knowledge tracing …

DGEKT: a dual graph ensemble learning method for knowledge tracing

C Cui, Y Yao, C Zhang, H Ma, Y Ma, Z Ren… - ACM Transactions on …, 2024 - dl.acm.org
Knowledge tracing aims to trace students' evolving knowledge states by predicting their
future performance on concept-related exercises. Recently, some graph-based models have …

Question-response representation with dual-level contrastive learning for improving knowledge tracing

Y Zhao, H Ma, J Wang, X He, L Chang - Information Sciences, 2024 - Elsevier
Question-response representation (aka. embedding) lies at the core for knowledge tracing,
which is pivotal to model students' evolving knowledge states for predicting their future …

[PDF][PDF] New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability 2023, 15, 12451

F Kamalov, D Santandreu Calonge, I Gurrib - 2023 - docentia.compendiolab.com
The recent high performance of ChatGPT on several standardized academic tests has thrust
the topic of artificial intelligence (AI) into the mainstream conversation about the future of …

Improving knowledge tracing via a heterogeneous information network enhanced by student interactions

J Xu, X Huang, T Xiao, P Lv - Expert Systems with Applications, 2023 - Elsevier
Abstract Knowledge tracing (KT) aims to evaluate the knowledge state of students based on
their coursework interactions in an intelligent tutoring system (ITS). It is the most fundamental …

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

Z Xiong, H Li, Z Liu, Z Chen, H Zhou, W Rong… - arXiv preprint arXiv …, 2024 - arxiv.org
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …