Complex thinking competency enhances the high cognitive capacities necessary for the future of education. This study aimed to analyze these capacities through its sub-competencies (critical, systemic, and scientific thinking). We worked with the Cross Industry Standard Process for Data Mining methodology, with an original database of class data of 33,319 unique students, 46 different variables, and a random identification number. The variables were sociodemographic information, academic information, subject admission, competencies, and activities. Statistical analyses identified correlations between competency and sub-competencies. The findings show that 1) critical thinking is strategic in the development of complex thinking and its sub-competencies; 2) Development of Critical Thinking skills early in the curriculum can lead to a cascade effect, enhancing competence and sub-competence development; and 3) an overall performance encompasses the semester results. The study is of value to the academic, technological, and social communities to provide opportunities for the design and implementation of challenging scenarios for the future of education.

Artificial intelligence (AI) is currently leading an industrial revolution in most aspects of human life, and education is no exception. With the increasing ratio of students to faculty, AI could be an extremely beneficial tool for individual mentoring; for example, for cases of dropout and for student retention. While many models have already been built, the adoption of AI in education has been lower than expected, and few interventions have emerged from those models. Several factors may be in play, but one is that AI models are not easily explained, and the lack of explanation is fatal for situations like dropout prevention. An ideal AI-based tool for this problem would provide individually tailored interventions, but that would require a much deeper understanding of what a successful intervention entails. Using a novel methodology for feature comparison between student subpopulations, we compared regular students against students under academic guidance on a dataset containing 124,000 unique students and 36 informative features. We found that the explanations obtained regarding student dropout matched the real-world experiences of mentors and tutors, especially when dealing with highly explanatory features like previous average grades and interventions.

Complex thinking competency enhances the high cognitive capacities necessary for the future of education. This study aimed to analyze these capacities through its sub-competencies (critical, systemic, and scientific thinking). We worked with the Cross Industry Standard Process for Data Mining methodology, with an original database of class data of 33,319 unique students, 46 different variables, and a random identification number. The variables were sociodemographic information, academic information, subject admission, competencies, and activities. Statistical analyses identified correlations between competency and sub-competencies. The findings show that 1) critical thinking is strategic in the development of complex thinking and its sub-competencies; 2) Development of Critical Thinking skills early in the curriculum can lead to a cascade effect, enhancing competence and sub-competence development; and 3) an overall performance encompasses the semester results. The study is of value to the academic, technological, and social communities to provide opportunities for the design and implementation of challenging scenarios for the future of education.

En la era digital, el uso de estrategias en redes sociales se ha convertido en una práctica común para alcanzar objetivos decomunicación y marca en diversas organizaciones. Este estudio de carácter cuantitativo que adopta una metodología detipo experimental se enfoca en el sector hospitalario, donde se ha observado que el engagement en las redes sociales estádirectamente relacionado con la calidad de la experiencia de los públicos, especialmente sus pacientes, la reputacióncorporativa y el reconocimiento de marca. El propósito de esta investigación es desarrollar y validar un modelo multicriteriode evaluación del uso de las redes sociales por los hospitales para descubrir los factores que influyen en el engagement delos públicos y, por ende, la reputación corporativa de estas entidades. Con este fin, se realiza una revisión sistemática deliteratura, una valoración de juicio de expertos para ratificar los indicadores empleados en el modelo propuesto y unanálisis de contenido de 2758 publicaciones de 10 hospitales españoles Instagram y LinkedIn. Los resultados revelan quelos factores que impactan en el engagement varían según la plataforma. En Instagram, el formato y el tipo de contenido,así como la información proporcionada, son los indicadores más determinantes. Por otro lado, en LinkedIn, la informacióny el número de seguidores son los aspectos que más impactan en la participación. La robustez de este modelo contribuye,a nivel teórico y práctico, a la comprensión de los factores del contenido de marca de los hospitales que estimulan elengagement en las redes sociales. Asimismo, aporta directrices a los responsables de comunicación y marca para unagestión eficiente de la estrategia de contenidos en Instagram y LinkedIn.