Producción Científica

This article analyzes the learning of students in the entire field of education and in other branches of science, through the systematic review of the literature (RSL) with the aim of determining the state of the art about the teaching and learning of math in Educational Institutions using Mobile Applications, based on the recommendations of Barbara Kitchenham & Charters (2007) for the review of papers in the years from 2016 to 2021. In the review conducted, some relevant results were obtained: identification of the main areas in which mobile applications are used, to the authors who have published the most research, the papers published according to their chronological distribution (2020 and 2018), to the publication media where the research is reported (Journal and Conference), the topics (as bigramas) most used per year (“primary school”, “early childhood” and “mobile learning”) and the bibliometric networks of co-authorship worldwide. It was concluded that the selected research papers focus on improving the teaching and learning of students in educational institutions. It is expected that future research will expand the chronological scope of the analyzed papers for a more comprehensive review.

This work presents a review, using bibliometric methods, of the state of research on the whole field of natural language processing (NLP), understanding this as the methods to process human language, including semantic techniques, statistical techniques or a combination of both. Particularly we focus on the trends of research in NLP, since there are not in the literature studies that embrace in an integral way bibliometric studies about natural language processing, its applications and related topics. Our work includes an identification of the main sources where research is published, the most productive and influential countries and research institutions, the main actors involved in research, as well as the main topics that are investigated. We found that research in the field and subfields has increased continuously during the period under study; conference proceedings are the preferred media to communicate results and that biomedical informatics is one relevant field of application of NLP. We conclude with both, a synchronic and a diachronic characterization of research topics carried out internationally on natural language processing and related topics, which showed that several subfields of artificial intelligence are closely related to natural language processing in recent years.