Flipped classroom is one approach of active learning leading to better students’ learning, abilities, and academic performance. The aim of this study is to evaluate the effect of applying the flipped classroom approach to MIS course, to examine the antecedents of engagement intention after participating the flipped classroom by peers, and to guide key factors of success student presentations. T...

READING and, with the help of colleagues, 'field-testing' this manual at various times throughout the Christmas season, I was struck with how sihiilar the editors' problem is with that of the housewife. The latter has to recycle traditional dishes in a fresh manner just as the editors of this manual attempt to rearrange material that has appeared elsewhere often by the same publisher and invari...

This paper presents the results of a literature search and review focused on the integration of digital games into educational processes, specifically in primary schools. It briefly analyses around 78 papers reporting research carried out in a range of different countries and with a variety of educational objectives. The study confirms the increasing wealth of scientific studies dealing with ga...

Independent component analysis (ICA) is the decomposition of a random vector in linear components which are “as independent as possible.” Here, “independence” should be understood in its strong statistical sense: it goes beyond (second-order) decorrelation and thus involves the nonGaussianity of the data. The ideal measure of independence is the “mutual information” and is known to be related t...

A graph is called well-covered if every maximal independent set of vertices of G is a maximum independent set; recall that S is independent if no two of its vertices are adjacent. In this paper we define the concept of well-covered by monochromatic paths graphs which is a variation of well-covered graphs. We consider some classical constructions of graphs: G-join of graphs and duplication of a ...

In this paper, we propose the use of the flexible independent component analysis (ICA) algorithm for the acoustic echo cancellation (AEC). The flexible ICA algorithm has a parametric score function which is controlled by the Gaussianity of the source signal (speech in our case). The probability density function of the speech signal is not always the super Gaussian, hence the inflexible score fu...

In this paper, we present a comprehensive study of different Independent Component Analysis (ICA) algorithms for the calculation of coherency and sharpness of electroencephalogram (EEG) signals, in order to investigate the possibility of early detection of Alzheimer’s disease (AD). We found that ICA algorithms can help in the artifact rejection and noise reduction, improving the discriminative ...

Analysis and modeling of speaker variability, such as gender, accent, age, speech rate, and phones realizations, are important issues in speech recognition. It is known that existing feature representations describing speaker variations can be of very high dimension. In this paper, we introduce two powerful multivariate statistical analysis methods, namely, principal component analysis (PCA) an...

A major problem in application of independent component analysis (ICA) is that the reliability of the estimated independent components is not known. Firstly, the finite sample size induces statistical errors in the estimation. Secondly, as real data never exactly follows the ICA model, the contrast function used in the estimation may have many local minima which are all equally good, or the pra...

We introduce a new approach to constrained independent component analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual information terms directly. As an estimate of mutual information, a robust version of the Edgeworth expansion is used, on which gradient descent is performed. As an application, we consider the extraction of both the mother a...