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Found 6 papers, 1 papers with code
Finding Similar Exercises in Retrieval Manner
When students make a mistake in an exercise, they can consolidate it by ``similar exercises'' which have the same concepts, purposes and methods.
TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions
Finally, supervised contrastive learning was conducted on relevance prediction-related downstream tasks, which helped the model to learn the representation of questions effectively.
Exploring Student Representation For Neural Cognitive Diagnosis
In this paper, we propose a method of student representation with the exploration of the hierarchical relations of knowledge concepts and student embedding.
An Empirical Study of Finding Similar Exercises
Education artificial intelligence aims to profit tasks in the education domain such as intelligent test paper generation and consolidation exercises where the main technique behind is how to match the exercises, known as the finding similar exercises(FSE) problem.
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences
With pivot module reconstructed the decoder for individual students and leveled learning specialized encoders for groups, personalized DKT was achieved.
Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH
In this paper, a combination of modified mean search and LSH method would be introduced orderly to improve the precision and recall of SIPP face recognition without retrain of the DNN model.
