The effect of ability grouping on students' computational thinking in shared regulation-supported collaborative programming.

Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation.

Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation.

Contrastive multi-interest graph attention network for knowledge-aware recommendation.

Click-through rate prediction model integrating user interest and multi-head attention mechanism.

RIECN: learning relation-based interactive embedding convolutional network for knowledge graph.

KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs.

Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System.

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System.

Study on learning effect prediction models based on principal component analysis in MOOCs.

A New Scalable Lightweight Grouping Proof Protocol for RFID systems.

A content-based recommendation algorithm for learning resources.

An Efficient Lightweight RFID Authentication Protocol with Strong Trajectory Privacy Protection.