Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation

I Wickramasinghe, H Kalutarage - Soft Computing, 2021 - Springer
Naïve Bayes (NB) is a well-known probabilistic classification algorithm. It is a simple but
efficient algorithm with a wide variety of real-world applications, ranging from product …

[PDF][PDF] Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana De …, 2024 - redalyc.org
Resumen El Machine Learning es un campo de la inteligencia artificial que está impactando
últimamente en todas las áreas del conocimiento. Las áreas de las ciencias sociales, en …

[PDF][PDF] Techniques and applications of Machine Learning and Artificial Intelligence in education: a systematic review

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org
Abstract Machine learning is a field of artificial intelligence that is impacting lately in all areas
of knowledge. The areas of social sciences, especially education, are no stranger to it, so, a …

Assessing algorithmic thinking skills in relation to age in early childhood STEM education

K Kanaki, M Kalogiannakis - Education Sciences, 2022 - mdpi.com
In the modern digital era, intensive efforts are made to inject computational thinking (CT)
across science, technology, engineering, and mathematics (STEM) fields, aiming at …

La Inteligencia Artificial: desafíos para la educación

OM Cornelio, AR Rodríguez, WLS Álava… - Editorial …, 2024 - editorialalema.org
Resumen El libro" La Inteligencia Artificial: desafíos para la educación" abordó cómo la IA
impactó y transformó el campo educativo. A lo largo de diez capítulos, exploró desde los …

Machine learning for the educational sciences

S Hilbert, S Coors, E Kraus, B Bischl, A Lindl… - Review of …, 2021 - Wiley Online Library
Abstract Machine learning (ML) provides a powerful framework for the analysis of high‐
dimensional datasets by modelling complex relationships, often encountered in modern …

Educational technology research: Contexts, complexity and challenges

E Scanlon - Journal of Interactive Media in Education, 2021 - oro.open.ac.uk
This paper explores the development of educational technology research over the last 50
years. This is done by considering what has influenced this development and what are …

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

S Rajput, T Widmayer, Z Shang, M Kechagia… - ACM Transactions on …, 2024 - dl.acm.org
With the increasing usage, scale, and complexity of Deep Learning (dl) models, their rapidly
growing energy consumption has become a critical concern. Promoting green development …

Artificial Intelligence in Education: application in student performance evaluation.

B Sekeroglu, K Dimililer… - … : Educación, Política y …, 2019 - search.ebscohost.com
English Education has gained importance to accelerate the development of countries by
means of personalized education and students' characteristics, family properties, etc., and …

FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning

S Rajput, T Widmayer, Z Shang, M Kechagia… - arXiv preprint arXiv …, 2023 - arxiv.org
With the increasing usage, scale, and complexity of Deep Learning (DL) models, their
rapidly growing energy consumption has become a critical concern. Promoting green …