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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 ...

A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this...

To test the hypothesis that lecturing maximizes learning and course performance, we metaanalyzed 225 studies that reported data on examination scores or failure rates when comparing student performance in undergraduate s...

We present Momentum Contrast (MoCo) for unsupervised visual representation learning. From a perspective on contrastive learning as dictionary look-up, we build a dynamic dictionary with a queue and a moving-averaged enco...

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...

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...

ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects tha...

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...

Student learning achievement in Indonesia is low, this is because there are still many students who experience difficulties in learning geometry. To overcome these problems a way is needed so that students can understand...

This study aims to determine the improvement of mathematical connection capability and self efficacy of students who have learned by Cooperative Learning Model Type Rotating Trio Exchange (RTE) compared to students who r...

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 paper reports on an empirical and descriptive investigation into how teachers and learners use technology in three prototypical learning activities in a higher educational online learning environment. Additionally, ...

Background: This article reports on a project aimed at planning and implementing a student-centered teaching and learning of Arabic Speaking (Kalam). Objective: Attempts to engage the students with the planning of...

IntroductionCritical thinking is emphasized as an important learning aim in early medical education, yet how students experience learning this capability in practice remains underexplored. Understanding students’ exper...

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...

Abstract Background Mobile technology can deliver public health interventions to reach remote populations such as unique mHealth interventions aimed at low-literacy audiences in low resource settings. This research study...

As culinary educators, we have a long history of teaching our craft within a hands-on master apprentice learning environment . Since the dark ages, it has been typical for the trainee chef to physically stands by the sid...

Purpose – This research aims to determine: 1) student motivation in following Physical Education, Sports, and Health (PESH) learning in elementary schools, 2) students' external motivation in following PESH learning in...

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...