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 review on deep learning techniques for IoT data

K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil… - Electronics, 2022 - mdpi.com
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …

[HTML][HTML] Assessment in the age of artificial intelligence

Z Swiecki, H Khosravi, G Chen… - … and Education: Artificial …, 2022 - Elsevier
In this paper, we argue that a particular set of issues mars traditional assessment practices.
They may be difficult for educators to design and implement; only provide discrete snapshots …

Bi-CLKT: Bi-graph contrastive learning based knowledge tracing

X Song, J Li, Q Lei, W Zhao, Y Chen, A Mian - Knowledge-Based Systems, 2022 - Elsevier
Abstract The goal of Knowledge Tracing (KT) is to estimate how well students have
mastered a concept based on their historical learning of related exercises. The benefit of …

Context-aware attentive knowledge tracing

A Ghosh, N Heffernan, AS Lan - Proceedings of the 26th ACM SIGKDD …, 2020 - dl.acm.org
Knowledge tracing (KT) refers to the problem of predicting future learner performance given
their past performance in educational applications. Recent developments in KT using …

A survey on deep learning based knowledge tracing

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 …

Jkt: A joint graph convolutional network based deep knowledge tracing

X Song, J Li, Y Tang, T Zhao, Y Chen, Z Guan - Information Sciences, 2021 - Elsevier
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 …

A self-attentive model for knowledge tracing

S Pandey, G Karypis - arXiv preprint arXiv:1907.06837, 2019 - arxiv.org
Knowledge tracing is the task of modeling each student's mastery of knowledge concepts
(KCs) as (s) he engages with a sequence of learning activities. Each student's knowledge is …

Deep learning for IoT big data and streaming analytics: A survey

M Mohammadi, A Al-Fuqaha, S Sorour… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …

Influence of pedagogical beliefs and perceived trust on teachers' acceptance of educational artificial intelligence tools

S Choi, Y Jang, H Kim - International Journal of Human–Computer …, 2023 - Taylor & Francis
Advancements in artificial intelligence (AI) have stimulated the development of educational
AI tools (EAIT). EAITs intelligently assist teachers in formulating better pedagogical …