Proactive and reactive engagement of artificial intelligence methods for education: a review
S Mallik, A Gangopadhyay - Frontiers in artificial intelligence, 2023 - frontiersin.org
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …
tools and platforms. In recent years, artificial intelligence based methods are being …
Towards a holistic understanding of mathematical questions with contrastive pre-training
Understanding mathematical questions effectively is a crucial task, which can benefit many
applications, such as difficulty estimation. Researchers have drawn much attention to …
applications, such as difficulty estimation. Researchers have drawn much attention to …
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Computerized Adaptive Testing (CAT) provides an efficient and tailored method for
assessing the proficiency of examinees, by dynamically adjusting test questions based on …
assessing the proficiency of examinees, by dynamically adjusting test questions based on …
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning
Sales forecasting during the launch of new products has always been a challenging task,
due to the lack of historical sales data. The dynamic market environment and consumer …
due to the lack of historical sales data. The dynamic market environment and consumer …
HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis
Cognitive diagnosis, a fundamental task in education assessments, aims to quantify the
students' proficiency level based on the historical test logs. However, the interactions …
students' proficiency level based on the historical test logs. However, the interactions …
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning
Representation learning of examination papers is significantly crucial for online education
systems, as it benefits various applications such as estimating paper difficulty and …
systems, as it benefits various applications such as estimating paper difficulty and …
STSN: A Skim-Then-Scrutinize Network for Understanding Multimodal Educational Questions
H Yi, X An, J Ma - 2023 3rd International Conference on Digital …, 2023 - ieeexplore.ieee.org
Nowadays, online systems have collected millions of questions and produced many
personalized applications, such as difficulty prediction. Therefore, obtaining a good question …
personalized applications, such as difficulty prediction. Therefore, obtaining a good question …
Adaptive Cognitive Diagnosis Under Distribution Shift with a Double-Level Adversarial Framework
Y Zhang, C Si - 2024 9th International Conference on Big Data …, 2024 - ieeexplore.ieee.org
Cognitive diagnosis is an important task in intelligent education, and it aims to diagnose the
mastery level of students for knowledge concepts by modeling the interaction among student …
mastery level of students for knowledge concepts by modeling the interaction among student …