[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 …

Deep FM-Based Predictive Model for Student Dropout in Online Classes

N Alruwais - IEEE Access, 2023 - ieeexplore.ieee.org
The student's high dropout rate is a severe issue in online learning courses. As a result, it is
creating concerns for academics and administrators in the field of education. A practical …

Predictive analytics for university student admission: a literature review

KC Li, BTM Wong, HT Chan - International Conference on Blended …, 2023 - Springer
This paper presents a literature review on the use of learning analytics to support prediction
in university student admission. The review covers four areas: types of research issues …

Cooperative Learning Groups: A New Approach Based on Students' Performance Prediction.

Z Bousalem, A Qazdar… - International Journal of …, 2023 - search.ebscohost.com
Cooperative learning is a pedagogical approach in which students collaborate in small
groups to attain a shared academic objective. In the classroom, cooperative learning aims to …

Recommender System for STEM Enrolment in Universities Using Machine Learning Algorithms: Case of Kenyan Universities

B Ondiek, L Waruguru, S Njenga - International Journal of …, 2023 - ijstm.inarah.co.id
Abstract Technology, Engineering, and Mathematics (STEM) enrolment has gained a lot of
research interest. The increase in demand for STEM-based skill sets has contributed to the …

Prediksi Kelulusan Siswa Sekolah Menengah Pertama Menggunakan Machine Learning

AFA Naibaho, A Zahra - Jurnal Informatika Dan Teknik …, 2023 - journal.eng.unila.ac.id
In recent years, there has been a number of students who graduated late at Lubuk Alung 1 st
State Junior Highschool. This statement is supported by graduation data from Lubuk Alung 1 …

A Transparency Index Framework for Machine Learning powered AI in Education

MA Chaudhry - 2023 - discovery.ucl.ac.uk
The increase in the use of AI systems in our daily lives, brings calls for more ethical AI
development from different sectors including, finance, the judiciary and to an increasing …

Educational Data Mining: An Application of a Predictive Model of Online Student Enrollment Decisions

CG Singer - 2023 - search.proquest.com
College and university enrollment has decreased nationwide every year for more than a
decade as educational consumers increasingly question the value of higher education and …

The Effect of Motorcycle Helmet Type on Head Response in Oblique Impact

NQ Radzuan, MHA Hassan, MN Omar… - … of Automotive and …, 2023 - journal.ump.edu.my
In Malaysia, riding motorcycles is a popular mode of transportation, particularly in urban
areas where traffic congestion is prevalent. Additionally, motorcycles are relatively …

Recommender Systems and Machine Learning Techniques for Large Educational Data: A Survey

AA Mohammed, MM Hamad - 2023 16th International …, 2023 - ieeexplore.ieee.org
Recommendation systems are widely used in domains such as e-commerce, social media
networks, news portals, educational platforms, and other related fields. This survey presents …