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- Data analytics to predict dropout in a MOOC course on energy sustainability(2021-09-20) Riofrío Calderón, Gioconda; Ramírez Montoya, María Soledad; Rodríguez Conde, María José; Instituto Tecnológico y de Estudios Superiores de Monterrey; University of BarcelonaMassive open online courses (MOOCs) offer multiple advantages and vast training possibilities in diverse topics for millions of people worldwide to continue their education. However, dropout rates are high; thus, it is important to continue investigating the reasons for dropout to implement new and better strategies to increase course completions. The present study aimed to analyze the data of a MOOC class on energy sustainability to know why students drop out, identify causes, and predict dropouts in future courses. The method used was Knowledge Discovery in Databases to analyze association rules in the data. Using the Mexico X platform, an initial, validated survey instrument was applied to 1506 students enrolled in the MOOC course "Conventional Clean Energy and its Technology." The results indicated that association rules allowed identifying participants' behavior according to the type of responses with a determined confidence level. Also, the association rules were appropriate for working with a large amount of data. In the present case, results of up to 86% confidence were obtained based on the rules. This research can be of value to decision-makers, teachers, researchers, designers, and those interested in large-scale training environments
- Validation of instruments to measure social entrepreneurship competence. The OpenSocialLab project(2020-04-28) García-González, Abel; Ramírez-Montoya, María-Soledad; Romero-Rodríguez, José María; Romero-Rodríguez, Luis Miguel; Tecnologico de MonterreyEducation within universities should consider the promotion of training activities aimed at training people who are creative, innovative, enterprising and aware of their environment and needs. The purpose of this paper is to present the preliminary results of the piloting of three instruments for a methodological proposal aimed at measuring the level of mastery scaled by students of undergraduate and graduate courses, in terms of social entrepreneurship skills. Thus, the instruments were validated through various strategies such as expert judgement, non-participating observation, statistical validity and reliability. Furthermore, the piloting takes place within the framework of a mixed method, since the data collection instruments were the focus group, the questionnaire and the semi-structured interview. The sample participating in the validation was different, depending on the instrument piloted: focus group (n = 5), questionnaire (n = 98) and interview (n = 4). Finally, the contributions of this work can be of value in studying social entrepreneurship.