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 …
human intelligence. A human teacher can track the knowledge of students to customize the …
[HTML][HTML] A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
[HTML][HTML] Assessment in the age of artificial intelligence
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 …
They may be difficult for educators to design and implement; only provide discrete snapshots …
Bi-CLKT: Bi-graph contrastive learning based knowledge tracing
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 …
mastered a concept based on their historical learning of related exercises. The benefit of …
Context-aware attentive knowledge tracing
Knowledge tracing (KT) refers to the problem of predicting future learner performance given
their past performance in educational applications. Recent developments in KT using …
their past performance in educational applications. Recent developments in KT using …
A survey on deep learning based knowledge tracing
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 …
online education that seeks to assess students' mastery of a concept based on their …
Jkt: A joint graph convolutional network based deep knowledge tracing
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 particular knowledge or concept based on the student's historical learning interactions with …
A self-attentive model for knowledge tracing
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 …
(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
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 …
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
Advancements in artificial intelligence (AI) have stimulated the development of educational
AI tools (EAIT). EAITs intelligently assist teachers in formulating better pedagogical …
AI tools (EAIT). EAITs intelligently assist teachers in formulating better pedagogical …