In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

In this paper, we review algorithmic bias in education, discussing the causes of that bias and
reviewing the empirical literature on the specific ways that algorithmic bias is known to have …

In this article, we present a study on teachers' perceptions about Artificial Intelligence (AI) as
a tool to support teaching in Estonian K-12 education. Estonia is promoting technological …

The objective of personalized learning is to design an effective knowledge acquisition track
that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet …

Data-driven predictive models are increasingly used in education to support students,
instructors, and administrators, which has raised concerns about the fairness of their …

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

Peer assessment has been recognised as a sustainable and scalable assessment method
that promotes higher‐order learning and provides students with fast and detailed feedback …

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

Learning analytics dashboards are at the core of the LAK vision to involve the human into
the decision-making process. The key focus of these dashboards is to support better human …