Metadata Artikel Journal of Adaptive Learning Technologies

This paper addresses the efficacy and significance of using bare-bones AI frameworks in the detection of wear, tear and malfunctions that affects the embedded system. By employing pruning, quantum transformation, knowledge extraction mechanisms, w...

The deployment of effective teaching methods is vital for the successful implementation of Economics in Nigerian secondary schools. This study explores how diverse instructional strategies influence students’ understanding, engagement, and perform...

Teaching English in the 21st century is shaped by rapid technological change, shifting learner needs, globalization, and increasingly diverse classrooms. This article explores contemporary methods of English Language Teaching (ELT), identifies maj...

Kinship terms constitute one of the most ancient and culturally loaded lexical fields in human language. Their persistence across centuries, combined with continuous semantic and functional change, makes them a valuable object of diachronic lingui...

In this article, theoretical investigations of the metal structure of the scale-testing railway car are carried out. These investigations primarily involve the development of a computational finite element model of the body of the scale-testing ra...

In this paper, an AI- based sentiment analysis algorithm is introduced. The study centers on data collecting, pre-processing, feature engineering, model choosing, training, evaluating and implementing as well as iteratively updating. We investigat...

This article explores the effective use of digital technologies and innovative pedagogical approaches in teaching parts of speech during mother tongue lessons. The study analyzes the integration of modern information and communication technologies...

Cardiovascular diseases remain one of the main causes of death in the world; thus, accurate classification of Electrocardiogram (ECG) signal becomes an important role for CADs detection and treatment. Over the years, several feature-based machine ...

This paper provides an exploratory study of the theoretical, methodological, and practical integration of ergonomics and artificial intelligence. This research explores the potential adverse human system interactions and those functions that AI ca...

The article examines privacy issues in IoT systems and approaches for addressing them through federated learning and telemetry anonymization methods. It provides a detailed overview of the federated learning (FL) approach, its architecture, and th...