[HTML][HTML] Proactive and reactive engagement of artificial intelligence methods for education: a review

S Mallik, A Gangopadhyay - Frontiers in artificial intelligence, 2023 - frontiersin.org
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

[HTML][HTML] Machine learning for human learners: opportunities, issues, tensions and threats

ME Webb, A Fluck, J Magenheim… - Educational Technology …, 2021 - Springer
Abstract Machine learning systems are infiltrating our lives and are beginning to become
important in our education systems. This article, developed from a synthesis and analysis of …

[HTML][HTML] Software Development and Tool Support for Curriculum Design: A Systematic Mapping Study

A Melillán, A Cravero, S Sepúlveda - Applied Sciences, 2023 - mdpi.com
Curriculum design is the systematic process of establishing how a learning process is
designed, developed, supported, and delivered. This process is supported by software tools …

[HTML][HTML] An intelligent recommendation system for automating academic advising based on curriculum analysis and performance modeling

S Atalla, M Daradkeh, A Gawanmeh, H Khalil… - Mathematics, 2023 - mdpi.com
The explosive increase in educational data and information systems has led to new teaching
practices, challenges, and learning processes. To effectively manage and analyze this …

Artificial intelligence and education: A pedagogical challenge for the 21st century

E Vázquez-Cano - Educational Process: International Journal (EDUPIJ), 2021 - ceeol.com
Background/purpose-Education in the 21st century faces a series of challenges, including
training in mobile and ubiquitous contexts, and the improvement of the didactic processes …

[HTML][HTML] Predicting the academic performance of middle-and high-school students using machine learning algorithms

S Rajendran, S Chamundeswari, AA Sinha - Social Sciences & Humanities …, 2022 - Elsevier
This research is one of the first to predict the academic performance of middle-and high-
school students using Machine Learning Algorithms (MLAs) based on numerous socio …

Enterprising academics: Heterarchical policy networks for artificial intelligence in British higher education

DB Gellai - ECNU Review of Education, 2023 - journals.sagepub.com
Purpose There is limited scholarship on artificial intelligence (AI) in higher education
governance, despite the growing prevalence of AI-powered technologies in many fields …

Integration of machine learning in education: challenges, issues and trends

SM Razaulla, M Pasha, MU Farooq - … learning and internet of things for …, 2022 - Springer
Abstract Machine learning has had a wide range of applications in almost every aspect of
human endeavor including health care, businesses, agriculture and finance among others …

Insights for curriculum development: Identifying emerging data science topics through analysis of Q&A communities

H Karbasian, A Johri - Proceedings of the 51st ACM Technical …, 2020 - dl.acm.org
Updating curricula in new computer science domains is a critical challenge faced by many
instructors and programs. In this paper we present an approach for identifying emerging …

Impact of Artificial Intelligence on Virtual Learning Ecosystem

G Srivastav, S Kant, D Srivastava… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Nowadays, one of the most intriguing fields of research in information technology is artificial
intelligence (AI) and machine learning (ML). For educational researchers and scientists, it …