The process of learning in companies or adult learning continues to develop and change. It is necessary to make learning to be more relevant, accessible, and supporting work performance. On the other hand, there are a number of factors contributing to the implementation of impactful learning,...

Online Portfolio Selection (OLPS) has attracted extensive interest in recent years. Accurate prediction of future prices and determining the optimal portfolio selection strategy based on the estimated return is a challenging topic in machine learning. We propose a novel adjusted learning...

This paper proposes Simultaneous Trainings of Identical Neural Networks (STNN) that aims to predict when sufficient data is not available for training neural networks (NN). While predictive applications of neural networks are growing, a common assumption in the NN algorithms is to have a...

The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is defined as the concept of drifts. The concept drifts negatively influence the classification accuracy and the stability of the data streams. Numerous machine learning-based models...

In this article we experimentally evaluate Colombia's Think Equal program, which teaches socioemotional skills to children ages 3 to 6. Given the context of COVID-19, the original design was adapted as a hybrid model, alternating in-person and remote instruction and engaging families in the...

Recently, technology has been increasingly integrated into higher education through gamified learning, which applies game design principles to educational content. The purpose of the present paper is to assess and depict the engagement of students in the field of economics and business in...