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Found 6 papers, 1 papers with code
Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring?
Deep Learning (DL) techniques have been increasingly adopted for Automatic Text Scoring in education.
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification
Pretrained Language Models (PLMs), though popular, have been diagnosed to encode bias against protected groups in the representations they learn, which may harm the prediction fairness of downstream models.
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback
Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning.
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
We note that many prior studies on classifying educational DAs employ cross entropy (CE) loss to optimize DA classifiers on low-resource data with imbalanced DA distribution.
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
Then, the study investigates how the AL methods can select informative samples to support DA classifiers in the AL sampling process.
Does Ability Affect Alignment in Second Language Tutorial Dialogue?
We find that lexical priming in learner-tutor dialogues differs from that in conversational and task-based dialogues, and we find evidence that alignment increases with ability and with word complexity.
