Metaverse has evolved as one of the popular research agenda that let users learn, socialize,
and collaborate in a networked 3-D immersive virtual world. Due to the rich multimedia …

Currently, explainability represents a major barrier that Artificial Intelligence (AI) is facing in
regard to its practical implementation in various application domains. To combat the lack of …

While artificial intelligence (AI) has been integral in daily life for decades, the release of
open generative AI (GAI) such as ChatGPT has considerably accelerated scholars' interest …

Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical
practice in algorithmic education. Based on a critical review of the literature, this paper …

Abstract Machine learning (ML) and deep learning (DL) are both branches of AI. As a form of
AI, ML automatically adapts to changing datasets with minimal human interference. Deep …

Generative models are now capable of producing natural language text that is, in some
cases, comparable in quality to the text produced by people. In the computing education …

The main objective of this paper is to clarify the importance of explainability in the crop
recommendation process and provide insights on how Explainable Artificial Intelligence …

Deep neural networks (DNNs) have transformed the field of computer vision and currently
constitute some of the best models for representations learned via hierarchical processing in …

The industry has embraced digitalisation leading to a greater reliance on models derived
from data. Understanding and getting insights into the models generated by machine …

AI education aims to teach AI concepts, essential knowledge, and skills related to the
fundamental ideas in AI. As AI becomes increasingly prevalent in our daily lives, schools …