Exploring the transformative role of artificial intelligence and metaverse in education: A comprehensive review

D Kumar, A Haque, K Mishra, F Islam… - Metaverse Basic and …, 2023 - mr.saludcyt.ar
Introduction: This review paper provides a comprehensive examination of the applications
and impact of artificial intelligence (AI) in the field of education. With advancements in AI …

[HTML][HTML] A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms

E Dimitriadou, A Lanitis - Smart Learning Environments, 2023 - Springer
Abstract The term" Smart Classroom" has evolved over time and nowadays reflects the
technological advancements incorporated in educational spaces. The rapid advances in …

[HTML][HTML] XAI framework for cardiovascular disease prediction using classification techniques

P Guleria, P Naga Srinivasu, S Ahmed, N Almusallam… - Electronics, 2022 - mdpi.com
Machine intelligence models are robust in classifying the datasets for data analytics and for
predicting the insights that would assist in making clinical decisions. The models would …

A Cybernetic Perspective on Generative AI in Education: From Transmission to Coordination

D Griffiths, E Frías-Martínez, A Tlili, D Burgos - 2024 - reunir.unir.net
The recent sudden increase in the capabilities of Large Language Models (LLMs), and
generative AI in general, has astonished education professionals and learners. In …

[HTML][HTML] Artificial intelligence (AI)-enhanced learning analytics (LA) for supporting career decisions: Advantages and challenges from user perspective

E Gedrimiene, I Celik, A Kaasila, K Mäkitalo… - Education and …, 2024 - Springer
Artificial intelligence (AI) and learning analytics (LA) tools are increasingly implemented as
decision support for learners and professionals. However, their affordances for guidance …

Artificial intelligence in career development: a scoping review

SS Pandya, J Wang - Human Resource Development International, 2024 - Taylor & Francis
Artificial intelligence (AI) has received more scholarly attention over the past few years,
evidenced by the increasing volume of literature on AI. However, most of our current …

Clustering-based knowledge graphs and entity-relation representation improves the detection of at risk students

B Albreiki, T Habuza, N Palakkal, N Zaki - Education and Information …, 2023 - Springer
The nature of education has been transformed by technological advances and online
learning platforms, providing educational institutions with more options than ever to thrive in …

Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review

K Alalawi, R Athauda, R Chiong - Engineering Reports, 2023 - Wiley Online Library
Today, educational institutions produce large amounts of data with the deployment of
learning management systems. These large datasets provide an untapped potential to …

Machine learning-based predictive modeling of student counseling gratification: a case study of Aligarh Muslim University

AR Shibli, N Fatima, M Sarim, N Masroor… - International Journal of …, 2024 - Springer
Subject counseling may assist students in evaluating their courses and choosing the
appropriate career path. This article intends to investigate, create, and apply efficient …

Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives

E Ali, M Angelova, C Karmakar - Royal Society Open …, 2024 - royalsocietypublishing.org
Epilepsy is a life-threatening neurological condition. Manual detection of epileptic seizures
(ES) is laborious and burdensome. Machine learning techniques applied to …