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In this work an adapted problem based learning strategy is presented for the particular case of rst year computer science university students. A pilot study was conducted to determine the validity of the proposed altern...

Research in English Language Teaching in Mexico has recently increased due to the new demanads imposed by international agencies for researchers to publish. As a result, networks and collaboration among institutions have...

Traditional education, which is mainly based on evaluating theoretical content at the end of a course, is not in keeping with the skillset we require in the twenty-first century. Today, we need creative and innovative in...

El libro Desafíos que Transforman: Experiencias y Reflexiones sobre el Aprendizaje Basado en Retos" presenta las claves de un modelo académico innovador centrado en la colaboración entre la universidad, las empresas y...

La irrupción y posterior consolidación de las llamadas Tecnologías de la Información y Comunicación (TIC) y de las Tecnologías del Aprendizaje y Conocimiento (TAC), están transformando a gran velocidad todo lo rel...

"Local Field Potentials (LFPs) are easy to access electrical signals of the brain that represent the summation in the extracellular space, of currents originated within the neurons. As such, LFPs could contain infor mati...

"This paper presents a supervised classification method to accurately detect epileptic brain activity in real-time from electroencephalography (EEG) data. The proposed method has three main strengths: it has low computat...

"How does the brain guide our actions? This is a complex issue, where the medial prefrontal cortex (mPFC) plays a crucial role. The mPFC is essential for cognitive flexibility and decision making. These functions are rel...

Recurrent neural networks can be used to map input sequences to output sequences, such as for recognition, production or prediction problems. However, practical difficulties have been reported in training recurrent neura...

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...

Our Challenge-Based Learning (CBL) method can be described as a special form of problem-based learning, in which the problems are of realistic, open-ended nature. Additionally, CBL contains features of experiential and p...

Plan integrations and misconception of programming language constructs have been two major errors of novice programmers. A good design model can have a great impact on the effectiveness of these systems. A plan is an abs...

This article presents findings from a meta-analysis of 213 school-based, universal social and emotional learning (SEL) programs involving 270,034 kindergarten through high school students. Compared to controls, SEL parti...

"Designing educational innovation in a doctoral program on Leadership and Systemic Innovation is a matter of matching form with content. The challenge to create new experiences for curriculum design becomes one of experi...

Frost is the condition that exists when the temperature of the earth's surface and earthbound objects falls below freezing (0°C). These events may have serious consequences on crop production, so actions must be taken t...

MoKEx (Mobile Knowledge Experience) is an international project in cooperation with universities and industrial partners. The project focuses on didactical, organizational and technical problems with regard to blended le...

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...

Statistical learning theory was introduced in the late 1960's. Until the 1990's it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990's new ...

Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other contin...

Abstract This study examines the evidence for the effectiveness of active learning. It defines the common forms of active learning most relevant for engineering faculty and critically examines the core element of each me...

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing n...

Applying design patterns is considered a helpful technique for designing software systems. Patterns description, however, results not sufficiently precise providing a weak understanding and making it difficult to be cert...

The Estimation Distribution Algorithms (EDAs) compose an evolutionary metaheuristic whose main characteristic is the construction of solutions in randomly form, using a distribution of probabilities that evolves during t...

The problem of information retrieval has attracted increasing attention in recent years. The amount of information sources via networks has grown and is still rapidly growing. Although existing search engines provide rap...