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Purpose – This research and development aims to 1 develop a Moodle-based LMS system for Geography that is feasible, 2 determine the practicality of LMS in learning, and 3 test the effectiveness of LMS in improving lear...

Extensive research has demonstrated that music enhances cognitive functions, such as learning, reasoning, and memory. This study investigated the influence of music on short- and long-term memory while learning through t...

Learning media has a significant influence on learning outcomes. Using appropriate media can increase motivation, understanding, retention, practical skills, accessibility and collaboration in learning. However, the effe...

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

Despite decades of global attention, work-related musculoskeletal disorders (MSD) remain a significant challenge, with substantial personal and societal costs (1). The lack of progress in addressing this prevalent proble...

Mathematics anxiety of high school students in learning mathematics in the network has a lot of influence on the ongoing learning until the results obtained. The influence of math anxiety has an effect ranging from under...

The scientific approach in teaching and learning process involves five steps: observing, questioning, gathering information, processing information, and communicating. However, most Islamic religious education (PAI) teac...

En este artículo BEEBOOK presentamos un conjunto de métodos establecidos para cuantificar el comportamiento de la abeja de la miel. Empezamos con métodos generales para la preparación de las abejas para ensayos de co...

This study aims to examine the effect of MMP learning models on understanding mathematical concepts and student confidence. The population of this study was students of class XI MIPA SMA Negeri 1 Semarapura academic year...

Learners face numerous hurdles while acquiring a second language. The use of mobile applications and digital technologies in language learning enhances the language proficiency of the learners. The objective of the study...

ABSTRACT Analysing learners' facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers' teaching and promoting smart education. In co...

Blended and flipped classroom pedagogical models are recognised as having the potential to deepen and enrich student learning while also being a more engaging learning experience (Partridge, Ponting, & McCay, 2011). E-le...

The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advantages of generic and generative techniques...

Watershed models are powerful tools for simulating the effect of watershed processes and management on soil and water resources. However, no comprehensive guidance is available to facilitate model evaluation in terms of ...

El presente trabajo explora las principales implicaciones de la teoría Gestalt en tanto que modelo de aprendizaje. Para ello desarrolla las categorías de análisis fundamental producidas por sus exponentes fundadores, ...

Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment t...

This paper discusses the main lines used to model intelligent agents that will operate in a Collaborative Online Learning Environment-COLE. The aim of COLE is to evaluate the contribution that Information Technology and ...

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad...

Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding. The data in these tasks are t...