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 …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

Incorporating artificial intelligence (AI) into education, specifically through generative
chatbots, can transform teaching and learning for education professionals in both …

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

Background Teachers often rely on the use of open‐ended questions to assess students'
conceptual understanding of assigned content. Particularly in the context of mathematics; …

With the prevalence of generative AI tools like ChatGPT, automated detectors of AI-
generated texts have been increasingly used in education to detect the misuse of these tools …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

Large language models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM‐based …

It is generally acknowledged that engagement plays a critical role in learning. Unfortunately,
the study of engagement has been stymied by a lack of valid and efficient measures. We …

Abstract Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently
emerged as an attractive domain for states and school districts interested in predicting …