Analysis of social networks has become of great interest to researchers from different areas, including educators, due to Twitter’s growing importance as a space for discussion and dissemination of knowledge and opinions. This reality demands the development of analysis processes that allow to know the topics of interest in the network, the positive or negative feelings in relation to those topics and who the network influencers are. Those objectives guided this research work and in order to achieve them, we developed a methodological proposal for sentiment analysis of tweets. This article describes the process followed, which involved 1) detecting the structure of the communication network, 2) calculating the general metrics, 3) representing the communication network, 4) identifying and analyzing the clusters, 5) calculating their metrics as well as those of the individual nodes and 6) establishing the polarity of the posts published in the network. This paper also describes the methodoly followed to identify trends and topics of interest in the hashtags and web domains included in the tweets. The proposal for analysis presented here is intended to help researchers interested in the field of social networks, to understand the complex interactions that take place in these environments and the way in which information is disseminated, valued and converted into topics of interest thanks to the network users’ actions.

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We are pleased to present to the entire academic community and the general public the following work, which contains recent research results of a group of teachers from the Faculty of Educational Sciences in areas such as pedagogy, communication, technology and history. This publication is the result of the work coordinated by the Vice Rector's Office for Research, Innovation and Extension of the UTP, with the support of the Faculty of Education Sciences, through the realization of the First Conference on Social Appropriation of Knowledge held in 2022, in order to reach a wider field of dissemination of local research. In the first chapter "Sentiment analysis on Twitter about mobile learning" by professors Rosa María Guilleumas García and Hernán Gil Ramírez, a study of tweets about mobile learning is presented. To do so, the authors combined several techniques of social network analysis, text mining and sentiment analysis, using NodeXL software, specialized in network examination and visualization. Among their results, they highlight the great predominance of positive tweets over negative ones in this field of study, and at the same time point out that, in the analyzed tweets, the most used words were learning, mobile, app, machine, mlearning and education. In second place, there is the chapter "The institutional educational project. An opportunity for reflection and transformation of the Colombian university" by teachers Martha Cecilia Gutiérrez Giraldo and Carolina Franco Ossa, which arises from the reflection on university autonomy and its internal exercise in the construction of its Institutional Educational Projects (PEI). Thus, the main purpose of this work is to identify the relevant facts that have marked the academic life of the UTP since its creation in 1958 until 2015, in which the different strata of the university community (teachers, students, administrators, managers, graduates and the social sector) participated through a participatory action research process. The results show that since its creation, the University has updated its academic and management policies in accordance with the regulations in force in each period, and that, at the same time, as mentioned by the authors, the institutional processes of self-reflection and projection of the academic life of the UTP should be strengthened through the culture of academic and democratic participation, supported by the collaborative work of the university community

La investigación es una actividad de gran importancia en el mundo educativo pues permite a los docentes observar y analizar el contexto; reflexionar a partir de evidencia sobre el qué y el cómo enseñar, sobre el éxito o el fracaso de las estrategias, metodologías y materiales utilizados en el aula de clase y usar esta información para proponer alternativas viables y creativas que mejoren y transformen las prácticas pedagógicas e impacten el aprendizaje de los alumnos. Por esta razón los cursos sobre investigación son elementos clave en la formación de profesores. Excel es una potente aplicación que facilita la realización de cálculos estadísticos, los cuales son básicos a la hora de realizar análisis que permitan comprender y valorar los datos obtenidos en una investigación. Este programa presenta la ventaja de que requiere un menor esfuerzo de aprendizaje si se compara con el que implica llegar a comprender y manejar otras aplicaciones especializadas para análisis estadístico. Para ayudar a abordar el proceso de análisis de datos cuantitativos utilizando Excel, el texto que se presenta en esta obra está formado por dos partes.

Información (2007); Ayuda adaptativa para la ejercitación en la web (2009); Excel para investigadores, aplicaciones prácticas (2010); Redes de comunicación de profesores en twitter (2017); NodeXL para el análisis de redes de comunicación en twitter ( 2017); Social Networks of Teachers in Twitter ( 2017);Análisis de datos cuantitativos con Excel 2016 ( 2019). Ha publicado artículos en revistas especializadas nacionales e internacionales. Miembro del grupo de Investigación Comunicación Educativa.