A review of clustering models in educational data science toward fairness-aware learning

T Le Quy, G Friege, E Ntoutsi - … Proactive education based on empirical big …, 2023 - Springer
Ensuring fair access to quality education is essential for every education system to fully
realize every student's potential. Nowadays, machine learning (ML) is transforming …

Clustering and resource allocation strategy for D2D multicast networks with machine learning approaches

F Jiang, L Zhang, C Sun, Z Yuan - China Communications, 2021 - ieeexplore.ieee.org
In this paper, the clustering and resource allocation problem in device-to-device (D2D)
multicast transmission underlay cellular networks are investigated. For the sake of …

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 …

Data mining framework to analyze the evolution of computational thinking skills in game building workshops

AA De Souza, TS Barcelos, R Munoz, R Villarroel… - Ieee …, 2019 - ieeexplore.ieee.org
Computational thinking has become a required capability in the student learning process,
and digital games as a teaching approach have presented promising educational results in …

Learners' Autonomous Learning Behavior in Distance Reading Based on Big Data

S Huan, C Yang - … Journal of Emerging Technologies in Learning …, 2022 - learntechlib.org
Some learners couldn't get ideal learning results from distance education, to find out the root
of this problem, their learning behavior and initiative should be analyzed in real time …

Deep Reinforcement Learning-based Adaptive Clustering Approach in Short Video Sharing through D2D Communication

W Dong, Z Li, X Chen - 2021 IEEE Intl Conf on Parallel & …, 2021 - ieeexplore.ieee.org
With the rapid popularity of short video applications, short videos sharing based on D2D
multicast communication is considered as a promising technology to improve the quality of …

A comparative study of the various clustering algorithms in e-learning systems using WEKA tools

J Khalfallah, JBH Slama - … Conference on ICT in Education and …, 2018 - ieeexplore.ieee.org
Clustering also called cluster analysis is the task of data objects grouping where group
objects are similar. Simultaneously, they should be different from other groups objects. Such …

DETECT: a hierarchical clustering algorithm for behavioural trends in temporal educational data

J McBroom, K Yacef, I Koprinska - International Conference on Artificial …, 2020 - Springer
Techniques for clustering student behaviour offer many opportunities to improve educational
outcomes by providing insight into student learning. However, one important aspect of …

A performance of the scattered averaging technique based on the dataset for the cluster center initialization

ABW Putra, AFO Gaffar… - International Journal of …, 2021 - search.proquest.com
Clustering is one of the primary functions in data mining explorations and statistical data
analysis which widely used in various fields. There are two types of the clustering algorithms …

An Evolution-Affinity Propagation-Based Global Rate Maximization Clustering Policy in D2D Multicast Communication

Q Zhang, X Wang, Y Luo, M Zeng… - ICC 2024-IEEE …, 2024 - ieeexplore.ieee.org
In the coming 6G area, the throughput burden of cellular networks is generated by the the
explosive growth in the number of smart devices and its requirements. The throughput …