Abstract Large Language Models (LLMs) offer novel opportunities for educational
applications that have the potential to transform traditional learning for students. Despite AI …

The importance of addressing fairness and bias in artificial intelligence (AI) systems cannot
be over-emphasized. Mainstream media has been awashed with news of incidents around …

Teaching to improve student models (eg, knowledge distillation) is an extensively studied
methodology in LLMs. However, for humans, teaching improves not only students but also …

Large Language Models (LLMs) are increasingly utilized in educational tasks such as
providing writing suggestions to students. Despite their potential, LLMs are known to harbor …

Argumentation is an omnipresent rudiment of daily communication and thinking. The ability
to form convincing arguments is not only fundamental to persuading an audience of novel …

While writing peer reviews resembles an important task in science, education, and large
organizations, providing fruitful suggestions to peers is not a straightforward task, as different …

Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student
answers to provide immediate and customized instruction. However, recent research has …

Minimizing social bias strengthens societal bonds, promoting shared understanding and
better decision-making. We revisit the definition of bias by discovering new bias types (eg …

Natural language generation tools are powerful and effective for generating content.
However, language models are known to display bias and fairness issues, making them …