Identification of operational risks impeding the implementation of eLearning in higher education system

AM Syed, S Ahmad, A Alaraifi, W Rafi - Education and Information …, 2021 - Springer
Higher education institutions are in a consistent pursuit of technological adoption through
digital transformation techniques since the beginning of the technology revolution. The …

[PDF][PDF] Communicative competence development in teaching professional discourse in educational establishments

O Kyrpychenko, I Pushchyna, Y Kichuk… - International Journal of …, 2021 - academia.edu
The article is devoted to the question of communicative competence formation, represented
in all spheres of professional application in higher education and states that the degree of its …

Comparative analysis of clustering algorithms and moodle plugin for creation of student heterogeneous groups in online university courses

G Nalli, D Amendola, A Perali, L Mostarda - Applied Sciences, 2021 - mdpi.com
Online learning environments such as e-learning platforms are often used to encourage
collaborative activities amongst students. In this context, group work is often used to improve …

Ensemble feed-forward neural network and support vector machine for prediction of multiclass malaria infection

RG Jimoh, OA Abisoye… - Journal of Information …, 2022 - e-journal.uum.edu.my
Globally, recent research are focused on develo** appropriate and robust algorithms to
provide a robust healthcare system that is versatile and accurate. Existing malaria models …

[PDF][PDF] A unified model of clustering and classification to improve students' employability prediction

P Thakar, A Mehta - International Journal of Intelligent Systems …, 2017 - academia.edu
Data Mining is gaining immense popularity in the field of education due to its predictive
capabilities. But, most of the prior effort in this area is only directed towards prediction of …

PeaGlyph: Glyph design for investigation of balanced data structures

K Koc, AS McGough… - Information …, 2022 - journals.sagepub.com
For many data analysis tasks, such as the formation of well-balanced groups for a fair race
or collaboration in learning settings, the balancing between data attributes is at least as …

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 …

Artificial intelligence to improve learning outcomes through online collaborative activities

G Nalli, D Amendola, S Smith - European Conference on e …, 2022 - books.google.com
A key strategic objective of the University courses is the promotion and development of new
and innovative teaching activities, also through the e-learning environment, with the aim of …

Internet of Things (IoT) Applications in Education: Benefits and Implementation Challenges in Ghanaian Tertiary Institutions.

DK Dake, GK Bada, AE Dadzie - Journal of Information …, 2023 - search.ebscohost.com
Abstract Aim/Purpose The Internet of Things (IoT) application modules have covered diverse
sectors, and the educational domain is no exception. In this survey, we discuss the specific …

Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online

A Mueller, J Konert, R Röpke, Ö Genc… - Journal of Computing in …, 2024 - Springer
The study investigates how the 2× 2 configuration of homogeneous and heterogeneous
distributions of extraversion and prior knowledge influences group outcomes, including …