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This article analyses the effect of the teaching-learning methods used in Spanish universities on three measures of educational output: average mark, graduates' assessment of their professional performance in different dimensions, and their assessment of the acquisition of professional competencies and skills. Multi-level models were used in which graduates (first level) are grouped by field of study (second level). The Class attendance and Written work methods have the most influence on the average mark but influence the graduates' working future the least, as measured with assessments of professional aspects or competencies. In contrast, Problem-based learning, In-company internships and Practical and methodological knowledge are the methods that bear the most influence on the graduates' professional careers and their development of specific professional competencies.

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In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims to fill the gap that currently exists in the availability of online DEA software offering practitioners and researchers free access to a very wide variety of DEA models (both conventional and fuzzy models). We illustrate how to use the web app by replicating the main results obtained by Carlucci, Cirà and Coccorese in 2018, who investigate the efficiency and economic sustainability of Italian regional airport by using two conventional DEA models, and the results given by Kao and Liu in their papers published in 2000 and 2003, who calculate the efficiency scores of university libraries in Taiwan by using a fuzzy DEA model because they treat missing data as fuzzy numbers.