El Machine Learning es un campo de la inteligencia artificial que está impactando últimamente en todas las áreas del conocimiento. Las áreas de las ciencias sociales, en especial la educación, no es ajena a ella, por tanto, se realiza una revisión sistemática de la literatura sobre aquellas técnicas y aplicaciones del Machine Learning e inteligencia artificial en Educación. La falta de conocimientos y habilidades de los educadores en Machine Learning e inteligencia artificial limita la implementación óptima de estas tecnologías en la educación. El objetivo de este trabajo es identificar las oportunidades de mejora de los procesos de enseñanza-aprendizaje y la gestión educativa en todos los niveles del contexto educativo a través de la aplicación de Machine Learning e inteligencia artificial. Las bases de datos utilizadas para la búsqueda bibliográfica fueron Web of Science y Scopus, la metodología aplicada se basó en la declaración PRISMA para la obtención y análisis de 55 artículos publicados en revistas de alto impacto entre los años 2021 y 2023. Los resultados mostraron que los estudios trataron un total de 33 técnicas de Machine Learning e inteligencia artificial y múltiples aplicaciones que fueron implementadas en contextos educativos en niveles de educación primaria, secundaria y superior en 38 países. Las conclusiones mostraron el fuerte impacto que tiene el uso de Machine Learning e inteligencia artificial. Este impacto se ve reflejado en el uso de diferentes técnicas inteligentes en contextos educativos y el aumento de investigaciones en escuelas de secundaria sobre inteligencia artificial.

In this article we approach the topic of collaborative learning by means of the creation and maintenance of personal learning environments and networks (PLE and PLN) and their integration within institutional virtual learning environments (VLE) as strategies to enhance and foster collaborative learning. We take an educational point of view: the student learns independently and carries out activities in groups to achieve common goals. Our aim is to experiment with didactical methodologies of integration between the institutional VLE and PLE, and to analyze the university students’ construction of PLE. Due to its importance in facilitating and fostering collaborative learning, special emphasis is placed on the construction of the personal learning network. We performed a design-based research on an academic course for Primary teachers. The results show that the students construct their PLE and PLN using newly acquired knowledge and that an appropriate methodological integration takes place between these environments and the institutional VLE for integrated learning. As conclusion, we propose an integrative methodological model for collaborative learning as a good practice. El aprendizaje colaborativo se puede afrontar desde diferentes estrategias. En este artículo contemplamos la creación y mantenimiento de entornos y redes personales de aprendizaje (PLEs y PLNs) y su integración en entornos virtuales institucionales de aprendizaje (EVEA) como estrategias que facilitan y promueven el aprendizaje colaborativo, siempre desde una visión educativa en la que el alumno es autónomo en su propio aprendizaje y trabaja para el logro de metas comunes mediante la realización de actividades de forma conjunta en grupos, existiendo interdependencias positivas. Los objetivos de este trabajo son experimentar con metodologías didácticas de integración del EVEA y los PLEs, y analizar la construcción del PLE por parte de los alumnos universitarios, haciendo especial énfasis en la construcción de la red personal de aprendizaje. Para ello se empleó una metodología de diseño y desarrollo, en una asignatura universitaria de los estudios de maestro de Primaria. Los resultados de la experiencia apuntan a que los alumnos construyen sus PLEs y PLNs en base a sus nuevos conocimientos adquiridos y se produce una adecuada integración metodológica entre esos entornos y el EVEA para el aprendizaje integrado. Como conclusión proponemos un modelo de organización metodológica de integración para el aprendizaje colaborativo a modo de buena práctica.

Rare diseases produce multiple impacts for the people who suffer from them, but they also have repercussions for their families, education and healthcare. The objective of this study is to analyze the coordination between healthcare and education professionals who intervene with children and adolescents with rare diseases. It is a qualitative study designed with a critical paradigm, and it was carried out through focus group discussions. A total of 50 people participated in the study, including healthcare professionals, teachers and families. The results suggest that poor communication and coordination negatively impact minors with rare diseases, placing an extra burden on their families, who take on an intermediary role in communication. Participants in the study recognized coordination as an area for improvement as it can compromise equitable social and health services and inclusive education. Other measures must also be put into action at the public administration level not only to establish protocols for intersectoral coordination, but also to increase the knowledge and awareness of staff involved in health and education interventions for children with rare diseases.

Resilience is understood as interactive processes that strengthen the individual and the family in the face of the demands of adversity or vulnerable situation. Resilience is fostered from a psychopedagogical approach when practices are developed that assist in facing challenges positively, having life projects and developing academic potentialities. Thus, the objective of this systematic review of the literature is cartography programs that promote resilience in children, adolescents, or youths who are facing a challenging condition, such as a disease or disability. The PRISMA declaration was used to guide this systematic search. The databases consulted were Web of Science, Scopus, EBSCOhost, ERIC and Dialnet Plus. Open access articles were selected between 2016 and 2021. The selection resulted in 15 educational programs. The results indicate that there are several models for building resilience, such as ecosystem, family, community, and academic models. In conclusion, interdisciplinarity is a cross-cutting axis for enhancing resilience in vulnerable settings.

Education has the task of preparing individuals for challenges, needs and opportunities in a globalized world; now with technology permeating human activities, traditional learning theories without recognizing elements of digital literacy (behaviorism, cognitivism and constructivism). Education requires changes of thought and even more so with the presence of COVID-19, a pandemic that prompted social physical isolation; increasing the need to master digital scenarios in educational communities. The previous situation consolidates computational thinking (CT), as an effective strategy applied in the model presented by MIT-Harvard, with a defined theoretical framework and applied since 2012. The objective of the research is to diagnose the level of training of competencies of the computational thinking to solve problems; and establish from a quantitative study with a non-experimental transectional design the correlation between: the conceptual, practical and computational perspective dimensions, with the development of skills to solve problems, showed a positive correlation greater than 0.462 and significance of 0.000 between the theoretical foundation, the practice to consolidate learning and the development of capacities to make optimal decisions in the search for solutions; implemented in a public school in Colombia with 133 high school students, under training characterized by isolation and social distancing, from totally virtual settings. The diagnostic instrument, validated and categorized by 32 problems, measures the skills to generate competencies, with similarities to the Colombian educational system that promotes learning with: knowing, knowing how to do and knowing how to be; The above is consolidated as inputs for the generation of a virtual learning ecosystem.