In this paper, an approach based on genetic algorithms is proposed to form groups in collaborative learning scenarios, considering the students’ personality traits as a criterion for grouping. This formation carried out two stages: first, information of students collected from psychometric instrument Big Five model; whereas, second, feeds algorithm that charge performing grouping iteratively, s...

Big data analytics has gathered immense research attention lately because of its ability to harness useful information from heaps of data. Cloud computing has been adjudged as one of the best infrastructural solutions for implementation of big data analytics. This research paper proposes a five-layer model for cloud-based big data analytics that uses dew computing and edge computing concepts. B...

The Big Five factors structure is currently the benchmark for personality dimensions. In the domain of adjectives, various instruments have been developed to measure the Big Five. In this contribution we propose a methodology to find a simple factorial structure and we apply this methodology to the domain of Big Five as measured by adjectives. Using data collected on a sample of 337 subjects, w...

A mixed model was introduced in this study, k-means clustering analysis for data examination, discriminant classification, and multilayer perceptron neural network prediction. After deleted inadequate samples outliers, total number of observations 1,009,998 study that collected through on interactive online personality (i.e., big five traits) test 2018. Empirical results based the identified fo...