This paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed through a study of quasi-experimental type and conformed by an experimental group composed of 25 students of section B and a control group by 25 students of section A of the subject of Software Design Patterns. of the Autonomous University of Peru. To obtain the results of the inferential analysis, the Student T test and the Mann Whitney U test were used. Likewise, a prestest and a posttest were applied to evidence the learning improved, previously tests of validity and reliability were performed in each case, the corresponding calculations were subsequently made for the test of the hypotheses. After applying the M-learning model with methodological strategies, signi...

Today X has become one of the most important socialnetworks for expressing opinions and interests on the web.The large amount of data generated allows automatedsystems to profile users based on gender, nationality andthematic interests. There are difficulties in this process notonly because of the short content, but also because of theambiguity and the use of several languages.The goal of this proposal is to generate a deep learningmodel using BERT that is able to identify demographic andthematic attributes from tweets. Pre-trained models of theBERT and Multilingual BERT type will be used, applied on PAN Author Profiling Task (CLEF 2019) corpora in English and Spanish.The proposed work will deepen the analysis using supervised classification data for gender and nationality classification and topic extraction through unsupervised techniques, such as LDA and BERTopic. These options include...

The objective of this article is to describe the satisfaction of students with the use of technological simulation tools in learning in the automatic process control course, as part of the pedagogical update in the context of dis-tance education. The Academic Satisfaction Scale (ESA) was used as a meas-urement instrument, the reliability of the data was performed through Cronbach's alpha, giving a consistencyvalue of 0.949. When developing the re-search, it was determined that 56.8% of the students are satisfied with the aca-demic experience of their learning using technological simulation tools in the virtual environment. On the other hand, 11.4% of students indicated that the content transmitted in this course does not excite them and they do not feel comfortable, these results will allow generating feedback to the teacher in their pedagogical techniques and teaching methods. Likewise,...