Educational Data Mining (EDM) is an emerging inter-disciplinary research area that involves
education and computer science. EDM employs data mining tools and techniques, on large …

In recent years, virtual learning environments are gaining more and more momentum,
considering both the technologies deployed in their support and the sheer number of …

Application of machine learning to new and unfamiliar domains calls for increasing
automation in choosing a learning algorithm suitable for the data arising from each domain …

The task of selecting the most suitable classification algorithm for each data set under
analysis is still today a unsolved research problem. This paper therefore proposes a meta …

Bu çalışmada, ortaokul öğrencilerinin ASSISTments isimli zeki öğretim sistemindeki
etkileşim verilerinden lisede STEM eğitimini tercih edip etmeyeceklerini tahmin edecek bir …

A growing number of highly optimized reasoning algorithms have been developed to allow
inference tasks on expressive ontology languages such as OWL (DL). Nevertheless, there is …

This paper studies a framework for implementing meta-heuristic algorithm selection based
on meta-learning approach, which is used to recommend the most suitable meta-heuristic …

Učenje na daljinu (eng. Distance Learning System-DLS) je sveprisutniji savremeni koncept
obrazovanja. To je koncept zasnovan na tutorskom sistemu i njegovim modulima (moduli …

Highly optimized reasoning algorithms have been developed to allow inference tasks on
expressive ontology languages such as OWL (DL). Nevertheless, DL reasoning remains a …