Scout: Self-aware discriminant counterfactual explanations
P Wang, N Vasconcelos - … of the IEEE/CVF Conference on …, 2020 - openaccess.thecvf.com
The problem of counterfactual visual explanations is considered. A new family of
discriminant explanations is introduced. These produce heatmaps that attribute high scores …
discriminant explanations is introduced. These produce heatmaps that attribute high scores …
HHSKT: A learner–question interactions based heterogeneous graph neural network model for knowledge tracing
Abstract Knowledge tracing (KT) has evolved into a crucial component of the online
education system with the rapid development of online adaptive learning. A key component …
education system with the rapid development of online adaptive learning. A key component …
Incorporating rich features into deep knowledge tracing
Knowledge Tracing aims to model student knowledge by predicting the correctness of each
next item as students work through an assignment. Through recent developments in deep …
next item as students work through an assignment. Through recent developments in deep …
Xes3g5m: A knowledge tracing benchmark dataset with auxiliary information
Abstract Knowledge tracing (KT) is a task that predicts students' future performance based
on their historical learning interactions. With the rapid development of deep learning …
on their historical learning interactions. With the rapid development of deep learning …
Adapting large language models for education: Foundational capabilities, potentials, and challenges
Online education platforms, leveraging the internet to distribute education resources, seek to
provide convenient education but often fall short in real-time communication with students …
provide convenient education but often fall short in real-time communication with students …
[HTML][HTML] Evolution and trends in intelligent tutoring systems research: a multidisciplinary and scientometric view
L Guo, D Wang, F Gu, Y Li, Y Wang, R Zhou - Asia Pacific Education …, 2021 - Springer
Intelligent tutoring systems (ITSs) are a promising integrated educational tool for customizing
formal education using intelligent instruction or feedback. In recent decades, ITSs have …
formal education using intelligent instruction or feedback. In recent decades, ITSs have …
Exercise recommendation based on knowledge concept prediction
Z Wu, M Li, Y Tang, Q Liang - Knowledge-Based Systems, 2020 - Elsevier
Good recommendation for difficulty exercises can effectively help to point the students/users
in the right direction, and potentially empower their learning interests. It is however …
in the right direction, and potentially empower their learning interests. It is however …
Temporal analysis of multimodal data to predict collaborative learning outcomes
The analysis of multiple data streams is a long‐standing practice within educational
research. Both multimodal data analysis and temporal analysis have been applied …
research. Both multimodal data analysis and temporal analysis have been applied …
Progressive knowledge tracing: Modeling learning process from abstract to concrete
Artificial intelligence has the potential to revolutionize education by providing personalized
learning experiences that support the dream of “teaching students according to their …
learning experiences that support the dream of “teaching students according to their …
A unified interpretable intelligent learning diagnosis framework for learning performance prediction in intelligent tutoring systems
Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to
estimate learners' current knowledge mastery status and predict their future learning …
estimate learners' current knowledge mastery status and predict their future learning …