Supervision of non-presential education in non-university educational centers

This research analyzes the quality of non-university virtual training due to the unexpected non-face-to-face teaching scenario caused by COVID-19, through the SULODITOOL (R) tool. It arises as a research line of the Chair of Education and Emerging Technologies, Gamification and Artificial Intelligence of the Pablo de Olavide University (Seville). This tool is developed under the auspices of other assessment instruments within the LomLOE framework, and is made up of 10 weighted supervisory indicators using fuzzy logic. In this sense, the aggregation of the linguistic variables of 242 expert judges was carried out using the probabilistic OR function and they were defuzzified using the area centroid method to calculate the aforementioned weights. The analytical and graphic results of the weightings show that there are certain indicators, such as the training design and the methodology used, which should be considered as key factors in all the scenarios studied.