Educational technology innovations leveraging large language models (LLMs) have shown
the potential to automate the laborious process of generating and analysing textual content …

Generative artificial intelligence (GenAI) holds the potential to transform the delivery,
cultivation and evaluation of human learning. Here the authors examine the integration of …

Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics
(FATE) of educational interventions supported by the use of Artificial Intelligence (AI) …

With the widespread use of learning analytics (LA), ethical concerns about fairness have
been raised. Research shows that LA models may be biased against students of certain …

Large models can play important roles in many domains. Agriculture is another key factor
affecting the lives of people around the world. It provides food, fabric, and coal for humanity …

Abstract Automatic Text Scoring (ATS) is a widely-investigated task in education. Existing
approaches often stressed the structure design of an ATS model and neglected the training …

Many educational institutions are using predictive models to leverage actionable insights
using student data and drive student success. A common task has been predicting students …

Machine Learning (ML) techniques have been increasingly adopted to support various
activities in education, including being applied in important contexts such as college …

This research investigates bias in AI algorithms used for monitoring student progress,
specifically focusing on bias related to age, disability, and gender. The study is motivated by …