This study investigates the factors influencing undergraduate students' self-directed learning
(SDL) abilities in generative Artificial Intelligence (AI)-driven interactive learning …

In recent years, there has been growing interest in recommendation systems, which is
matched by their widespread adoption across various sectors. This can be attributed to their …

The popularity of E-learning has encouraged learners to benefit from Massive Open Online
Courses (MOOC) platforms however information overload is a common challenge in order to …

The recent challenges faced by universities in the realm of educational technology and
human-robot interaction have been notable. This pertains not only to the utilization of cutting …

The development of an adaptive recommendation system enhances the learning resource
experience by merging artificial intelligence (AI) with educational psychology. As remote …

The goal of this study is to create a personalized recommendation system for English
learning resources by analysing students' English learning behaviors using a Generalized …

With technology rapidly changing, online education has emerged as both a demand and
necessity for the modern-day student. Through a systematic literature review, this paper …

Perkembangan teknologi telah membawa transformasi besar dalam berbagai bidang,
termasuk penerapan machine learning dalam sistem rekomendasi dan klasifikasi. Machine …

A digital twin is a virtual system designed to replicate the functionality of a physical object.
The concept originating from the industrial sector offers promising avenues for creating …

The culinary industry in Indonesia is experiencing rapid growth, driven by the increasing use
of online food delivery platforms, which have transformed consumer behavior. This study …