Explainability in educational data mining and learning analytics: An umbrella review
This paper presents an umbrella review synthesizing the findings of explainability studies
within the EDM and LA domains. By systematically reviewing existing reviews and adhering …
within the EDM and LA domains. By systematically reviewing existing reviews and adhering …
[HTML][HTML] Latent space bias mitigation for predicting at-risk students
Researchers have observed the relationship between educational achievements and
students' demographic characteristics in physical classroom-based learning. In the context …
students' demographic characteristics in physical classroom-based learning. In the context …
[HTML][HTML] Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors
Abstract Existing Predictive Learning Analytics (PLA) systems utilising machine learning
models show they can improve teacher practice and, at the same time, student outcomes …
models show they can improve teacher practice and, at the same time, student outcomes …
Leveraging explainable ai methods and tools for educational data
Artificial Intelligence (AI) has become an integral part of our lives, and Explainable Artificial
Intelligence (XAI) is becoming more essential to ensure trustworthiness and comply with …
Intelligence (XAI) is becoming more essential to ensure trustworthiness and comply with …
An explainable machine learning approach to predicting and understanding dropouts in MOOCs
E Er - Kastamonu Education Journal, 2023 - dergipark.org.tr
Purpose: The purpose of this study is to predict dropouts in two runs of the same MOOC
using an explainable machine learning approach. With the explainable approach, we aim to …
using an explainable machine learning approach. With the explainable approach, we aim to …
Fairness in Predictive Learning Analytics: A Case Study in Online STEM Education
In this study, we investigate the fairness of predictive models in online courses. Our focus is
on STEM courses and the prediction of underperforming students. The analysis of the …
on STEM courses and the prediction of underperforming students. The analysis of the …
Learning Analytics Dashboard for Educators: Proposed Project to Design with Pedagogical Background
In this article, the authors describe a prototype of a Learning Analytics Dashboard (LAD) for
educators. It is based on the analysis of pedagogical actions and taking into the process and …
educators. It is based on the analysis of pedagogical actions and taking into the process and …
[PDF][PDF] Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set.
TTY Hsu, OHT Lu - LAK Workshops, 2024 - ceur-ws.org
Learning Analytics (LA) is a field focusing on analyzing educational data, utilizing machine
learning. One of the most discussed topics is at-risk student prediction. However, the …
learning. One of the most discussed topics is at-risk student prediction. However, the …
Explainable Prediction of Student Performance in Online Courses
Abstract Student Performance Prediction (SPP) models and tools are useful for quickly
identifying at-risk students in online courses and enable the provision of personalized …
identifying at-risk students in online courses and enable the provision of personalized …
[PDF][PDF] Leveraging Explainable AI Methods and Tools for Educational Data
G Zaza - researchgate.net
Artificial Intelligence (AI) has become an integral part of our lives, and Explainable Artificial
Intelligence (XAI) is becoming more essential to ensure trustworthiness and comply with …
Intelligence (XAI) is becoming more essential to ensure trustworthiness and comply with …