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With the consolidation of deep learning in drug discovery, several novel algorithms for learning molecular representations have been proposed. Despite the interest of the community in developing new methods for learning ...

Abstract This paper explores the rapid evolution of virtual classrooms over the past decade. It examines their usefulness in language teaching, especially as teachers' roles change. The study investigates how virtual lea...

The purpose of this study is to analyze efforts, supporting, and obstacles factors to develop students' interest in learning Qur'an and hadith subject. This study employed a qualitative descriptive approach. Data obtaine...

This study aims to examine the singing method as a learning strategy to improve the numeracy skills of grade 1 students at SB AMI Penang, Malaysia. This research uses a qualitative method with a case study approach whose...

This research aims to compare the results of two learning approaches, namely the anti-radicalism value project model and the conventional model, in enhancing the commitment of young citizens. Through data analysis from t...

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...

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...

Abstract Transcriptional regulation, critical for cellular differentiation and adaptation to environmental changes, involves coordinated interactions among DNA sequences, regulatory proteins, and chromatin architecture. ...

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...

This special issue of Student Success celebrates the work of Professor Ella Kahu and her substantial contribution to the advancement of our collective understanding of student engagement. In June 2024 Professors Karen Ne...

Background: This research is motivated by the importance of innovation in learning evaluation media, especially in improving the quality of the Maharah Al Kitabah evaluation at Mutiara Al Madani Islamic Junior High Schoo...

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...

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...

Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, ...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...

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...