[HTML][HTML] Impacto de la inteligencia artificial en los métodos de evaluación en la educación primaria y secundaria: revisión sistemática de la literatura

M Martínez-Comesaña, X Rigueira-Díaz… - Revista de …, 2023 - Elsevier
El sector educativo puede enriquecerse con la incorporación de la inteligencia artificial (IA)
en diversos aspectos. El campo de la inteligencia artificial y sus aplicaciones en el sector …

[HTML][HTML] Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review

M Martínez-Comesanã, X Rigueira-Díaz… - Revista de …, 2023 - Elsevier
The educational sector can be enriched by the incorporation of artificial intelligence (AI) in
various aspects. The field of artificial intelligence and its applications in the education sector …

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

W Forero Corba… - … de educación a …, 2024 - redined.educacion.gob.es
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 …

[HTML][HTML] Systematic review of research on artificial intelligence in K-12 education (2017–2022)

F Martin, M Zhuang, D Schaefer - Computers and Education: Artificial …, 2023 - Elsevier
Abstract Background The use of Artificial Intelligence (AI) has increased in all education
sectors including K-12 settings where students can learn about AI and have an augmented …

[HTML][HTML] Week-wise student performance early prediction in virtual learning environment using a deep explainable artificial intelligence

HC Chen, E Prasetyo, SS Tseng, KT Putra… - Applied Sciences, 2022 - mdpi.com
Early prediction of students' learning performance and analysis of student behavior in a
virtual learning environment (VLE) are crucial to minimize the high failure rate in online …

[HTML][HTML] Evaluating student knowledge assessment using machine learning techniques

N Alruwais, M Zakariah - Sustainability, 2023 - mdpi.com
The process of learning about a student's knowledge and comprehension of a particular
subject is referred to as student knowledge assessment. It helps to identify areas where …

Evaluation of students' performance during the academic period using the XG-Boost Classifier-Enhanced AEO hybrid model

B Cheng, Y Liu, Y Jia - Expert Systems with Applications, 2024 - Elsevier
The proactive prediction and systematic classification of students' academic performance
empower educational administrators with the invaluable capability to not only pinpoint …

[HTML][HTML] Analysis of Machine Learning Classification Approaches for Predicting Students' Programming Aptitude

A Çetinkaya, ÖK Baykan, H Kırgız - Sustainability, 2023 - mdpi.com
With the increasing prevalence and significance of computer programming, a crucial
challenge that lies ahead of teachers and parents is to identify students adept at computer …

[HTML][HTML] SA-FEM: Combined Feature Selection and Feature Fusion for Students' Performance Prediction

M Ye, X Sheng, Y Lu, G Zhang, H Chen, B Jiang, S Zou… - Sensors, 2022 - mdpi.com
Around the world, the COVID-19 pandemic has created significant obstacles for education,
driving people to discover workarounds to maintain education. Because of the excellent …