The learning Analytics has been and is still an emerging technology, the amount of research on learning analysis are increasing every day. The integration of new tools, methods and theories is necessary. The aim of this paper is to study the approximation of Statistical Implicative Analysis theory (SIA) to Learning Analytics (LA). To this end, we have created an approximation framework based on the definition, stages, and methods used in LA. In total, three criteria approach and thirty-six sub-themes were compared. We use systematic review in the literature published in the last 66 months in bibliographic database ACM, EBSCO, Google Scholar, IEEE, ProQuest, Scopus and WOS. We started with 319 papers and finally 24 met all quality criteria. This document provides the themes by which SIA approximates to LA, also provides the percentages by category approach and identifies a number of future researches.

Learning Analytics 1 has been and is still an emerging technology in education; the amount of research on learning analysis is increasing every year. The integration of new open source tools, analysis methods, and other calculation options are important. This paper aims to compare hierarchical trees in Statistical Implicative Analysis (SIA) and some hierarchical clusters in Learning Analytics. To this end, we must use a quasi-experimental design with random binary data. A comparison is about the time it takes to evaluate the function for execute the four cluster algorithms: cohesion tree (ASI), similarity tree (ASI), agnes (cluster R package) and hclust (R base function). This paper provides a alternative hierarchical cluster used in Statistical Implicative Analysis that is possible to use in Learning Analytics (LA). Also, provides a comparative R-program used and identifies future research about software performance.

Learning Analytics allows to describe, diagnose, predict and prescribe learning, especially in Higher Education. Two thousand eight hundred fifty-three papers related to Learning Analytics are stored in the Scopus bibliography database from 2014 until the middle of 2019, evidencing the importance and increasing interest in this line of research. This research discovers specific characteristics of investigations in Learning Analytics and answers the general question: What is the actual state of Learning Analytics research in Ecuador? This research uses a systematic mapping to answer four research questions about indexed production in Learning Analytics by Ecuadorian authors. This study has been done from 2014 until June 2019 (11 semesters). Eighty-six articles about Learning Analytics were found in RRAAE, Scopus, WOS and IEEE. Sixty-eight reports were downloaded, arranged and analysed after removing duplicates, applying inclusion, exclusion and quality criteria. The methodology used is replicable by the researchers interested in establishing a baseline in general and in particular in Learning Analytics. interaction (HCI) → HCI design and evaluation methods • Information systems → Information systems applications → Data mining

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Los accidentes de tránsito en el Ecuador han causado muchos problemas en el ámbito social, ocupa el segundo lugar en mortandad por accidentes de tránsito en Latinoamérica. La Organización Mundial de la Salud (OMS) define un accidente de tránsito como un problema para la salud pública mundial y pueden causar graves consecuencias en las personas y generar altos costos económicos para el país, de allí la necesidad de realizar este estudio. El objetivo de ésta investigación es determinar cuáles son las principales causas que ocasionan los accidentes de tránsito, los datos fueron proporcionados por la Agencia Nacional de Tránsito (ANT) durante los años 2016, 2017 y 2018. La investigación es de tipo cuantitativo, de corte transversal y además un estudio descriptivo, exploratorio e inferencial no experimental. Se realizó inicialmente un estudio de normalidad de las variables de, luego se procedió a emplear pruebas estadísticas no paramétricas tales como Kruskal-Wallis (H-test) y Wilcoxon. Como parte de los resultados se encontró que la causa principal que provocó la mayor cantidad de fallecidos en accidentes de tránsito fue la de conducir desatento a las condiciones de tránsito. Traffic accidents in Ecuador have had many problems in the social field, occupies the second place in death and traffic accidents in Latin America. The World Health Organization (WHO) defines a traffic accident as a problem for world public health and can cause severe consequences for people and generate high economic costs for the country, hence the need to carry out this study. The objective of this research is to determine which are the leading causes that cause traffic accidents, and the data was provided by the National Traffic Agency (ANT) during the years 2016, 2017 and 2018. The research is quantitative, cross-sectional and also descriptive, exploratory and nonexperimental inferential study. Initially, a normality study of the variables was carried out, then nonparametric statistical tests such as Kruskal-Wallis (H-test) and Wilcoxon were used. As part of the results, it was found that the leading cause that caused the most significant number of deaths in traffic accidents was driving inattentive to traffic conditions. Palabras Claves: accidentes de tránsito, Ecuador, causas, mortalidad, consecuencias serias. Keywords: traffic accidents, Ecuador, causes, mortality, serious consequences.