Knowledge tracing: A survey
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 …
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 …
[HTML][HTML] A systematic literature review of reinforcement learning-based knowledge graph research
Abstract Knowledge graphs (KGs) model entities or concepts and their relations in a
structural manner. The incompleteness has turned out to be the main challenge that hinders …
structural manner. The incompleteness has turned out to be the main challenge that hinders …
A survey of knowledge tracing
High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …
to traditional face-to-face classroom education, online education enables us to record and …
Ednet: A large-scale hierarchical dataset in education
Abstract Advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of
Interactive Educational Systems (IESs) have led to the rise of data-driven approaches for …
Interactive Educational Systems (IESs) have led to the rise of data-driven approaches for …
Structure-based knowledge tracing: An influence propagation view
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 …
traces learners' evolving knowledge states. Much attention has been drawn to this area and …
NeuralCD: a general framework for cognitive diagnosis
Cognitive diagnosis is widely applicable in the scenarios where users' cognitive states need
to be assessed, such as games and clinical measurement. Especially in intelligent …
to be assessed, such as games and clinical measurement. Especially in intelligent …
Simulating classroom education with llm-empowered agents
Large language models (LLMs) have been employed in various intelligent educational tasks
to assist teaching. While preliminary explorations have focused on independent LLM …
to assist teaching. While preliminary explorations have focused on independent LLM …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Assessing student's dynamic knowledge state by exploring the question difficulty effect
Knowledge Tracing (KT), which aims to assess students' dynamic knowledge states when
practicing on various questions, is a fundamental research task for offering intelligent …
practicing on various questions, is a fundamental research task for offering intelligent …