Explainable AI in education: Current trends, challenges, and opportunities
A Rachha, M Seyam - SoutheastCon 2023, 2023 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) has garnered significant attention in recent years to
increase the transparency of AI models and systems and aid in decision-making. This is …
increase the transparency of AI models and systems and aid in decision-making. This is …
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 …
Earliest possible global and local interpretation of students' performance in virtual learning environment by leveraging explainable AI
In this research study, we propose an Explainable Artificial Intelligence (XAI) model that
provides the earliest possible global and local interpretation of students' performance at …
provides the earliest possible global and local interpretation of students' performance at …
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
Artificial neural networks (ANNs) have proven to be among the most important artificial
intelligence (AI) techniques in educational applications, providing adaptive educational …
intelligence (AI) techniques in educational applications, providing adaptive educational …
E-learning at-risk group prediction considering the semester and realistic factors
C Zhang, H Ahn - Education Sciences, 2023 - mdpi.com
This study focused on predicting at-risk groups of students at the Open University (OU), a UK
university that offers distance-learning courses and adult education. The research was …
university that offers distance-learning courses and adult education. The research was …
[PDF][PDF] Explainable Classification Model for Android Malware Analysis Using API and Permission-Based Features.
One of the most widely used smartphone operating systems, Android, is vulnerable to cutting-
edge malware that employs sophisticated logic. Such malware attacks could lead to the …
edge malware that employs sophisticated logic. Such malware attacks could lead to the …
TabLSTMNet: enhancing android malware classification through integrated attention and explainable AI
The proliferation of Android applications and their extensive adoption within the smartphone
sector has contributed to an upsurge in malware infiltration and exploitation. Vulnerabilities …
sector has contributed to an upsurge in malware infiltration and exploitation. Vulnerabilities …
[PDF][PDF] Examining the potential of machine learning for predicting academic achievement: A systematic review
Predicting student academic performance is a critical area of education research. Machine
learning (ML) algorithms have gained significant popularity in recent years. The capability to …
learning (ML) algorithms have gained significant popularity in recent years. The capability to …
The Review of Studies on Explainable Artificial Intelligence in Educational Research
G Türkmen - Journal of Educational Computing Research, 2024 - journals.sagepub.com
Explainable Artificial Intelligence (XAI) refers to systems that make AI models more
transparent, hel** users understand how outputs are generated. XAI algorithms are …
transparent, hel** users understand how outputs are generated. XAI algorithms are …
Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system
In the realm of Educational Technology, personalized learning is pivotal, yet predicting
students' learning abilities based on learning styles and ICT remains challenging. We …
students' learning abilities based on learning styles and ICT remains challenging. We …