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Found 5 papers, 3 papers with code
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Although numerous previous studies proposed to use homomorphic encryption to resolve the data privacy issue in transfer learning in the machine learning as a service setting, most of them only focused on encrypted inference.
Consistency and Monotonicity Regularization for Neural Knowledge Tracing
Knowledge Tracing (KT), tracking a human's knowledge acquisition, is a central component in online learning and AI in Education.
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing model that separately processes exercise information and student response information.
Ranked #1 on
Knowledge Tracing
on EdNet
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
However, such methods fail to utilize the full range of student interaction data available and do not model student learning behavior.
EdNet: A Large-Scale Hierarchical Dataset in Education
With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path recommendation.
