Practical and ethical challenges of large language models in education: A systematic sco** review
Educational technology innovations leveraging large language models (LLMs) have shown
the potential to automate the laborious process of generating and analysing textual content …
the potential to automate the laborious process of generating and analysing textual content …
Promises and challenges of generative artificial intelligence for human learning
Generative artificial intelligence (GenAI) holds the potential to transform the delivery,
cultivation and evaluation of human learning. Here the authors examine the integration of …
cultivation and evaluation of human learning. Here the authors examine the integration of …
Moral machines or tyranny of the majority? A systematic review on predictive bias in education
Machine Learning (ML) techniques have been increasingly adopted to support various
activities in education, including being applied in important contexts such as college …
activities in education, including being applied in important contexts such as college …
[HTML][HTML] Investigating algorithmic bias in student progress monitoring
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 …
specifically focusing on bias related to age, disability, and gender. The study is motivated by …
[HTML][HTML] Fairness for machine learning software in education: A systematic map** study
The integration of machine learning (ML) systems into various sectors, notably education,
has great potential to transform business workflows and decision-making processes …
has great potential to transform business workflows and decision-making processes …
[HTML][HTML] Lessons from debiasing data for fair and accurate predictive modeling in education
The past few years have witnessed an explosion of attention given to the bias displayed by
Machine Learning (ML) techniques towards different groups of people (eg, female vs. male) …
Machine Learning (ML) techniques towards different groups of people (eg, female vs. male) …
Towards automated analysis of rhetorical categories in students essay writings using Bloom's taxonomy
Essay writing has become one of the most common learning tasks assigned to students
enrolled in various courses at different educational levels, owing to the growing demand for …
enrolled in various courses at different educational levels, owing to the growing demand for …
[HTML][HTML] Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback
In higher education, delivering effective feedback is pivotal for enhancing student learning
but remains challenging due to the scale and diversity of student populations. Learner …
but remains challenging due to the scale and diversity of student populations. Learner …
Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.
Abstract Machine learning (ML) models are increasingly used for personnel assessment and
selection (eg, resume screeners, automatically scored interviews). However, concerns have …
selection (eg, resume screeners, automatically scored interviews). However, concerns have …
Predicting university student graduation using academic performance and machine learning: a systematic literature review
Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …
With the help of this predictive capacity, students may make well-informed decisions about …