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Found 13 papers, 4 papers with code
Raw Produce Quality Detection with Shifted Window Self-Attention
Global food insecurity is expected to worsen in the coming decades with the accelerated rate of climate change and the rapidly increasing population.
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
Then, the discriminator takes an interaction sequence where the masked tokens are replaced by the generator's outputs, and is trained to predict the originalities of all tokens in the sequence.
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
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction
Finally, Rocket provides students with fine-grained information on their learning path, giving them an avenue to assess their own skills and track their learning progress.
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement
To that end, we apply a state-of-the-art deep attentive neural network-based score prediction model to Santa, a multi-platform English ITS with approximately 780K users in South Korea that exclusively focuses on the TOEIC (Test of English for International Communications) standardized examinations.
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment
First, we define the concept of the study session, study session dropout and study session dropout prediction task in a mobile learning environment.
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
To the best of our knowledge, this is the first work to suggest an encoder-decoder model for knowledge tracing that applies deep self-attentive layers to exercises and responses separately.
Ranked #2 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.
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
Our model outperforms existing approaches over several metrics in predicting user response correctness, notably out-performing other methods on new users without large question-response histories.
A Spectral Regularizer for Unsupervised Disentanglement
A generative model with a disentangled representation allows for independent control over different aspects of the output.
Auto-Meta: Automated Gradient Based Meta Learner Search
Fully automating machine learning pipelines is one of the key challenges of current artificial intelligence research, since practical machine learning often requires costly and time-consuming human-powered processes such as model design, algorithm development, and hyperparameter tuning.
