Scientific production on dialogical pedagogy: a bibliometric analysis

Arévalo, Yanir Bayona; García, Matilde Bolaño

doi:10.56294/dm20237

Cited by 15 publications

(4 citation statements)

References 8 publications

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“…Es fundamental poner en agenda la necesidad de formación pedagógica de los docentes, ya sea a través de ateneos, talleres, capacitaciones pero que se desarrollen encuentros colectivos en las escuelas, se realicen cursos específicos. (8) Las plataformas en este sentido pueden jugar un rol importante ya que permite realizar ciertas cosas, como por ejemplo tratar de utilizar una pedagogía que se piensa como una producción en el tiempo y el espacio, con artefactos, con cuerpos, en entornos socio técnicos determinados, que se apoyan junto a las tecnologías disponibles.…”

Section: Resultados Y Discusiónunclassified

Teacher training, work, profession in the pandemic and post-pandemic context

Soto

Marín-Rodriguez

Baldeos-Ardían

et al. 2023

Salud, Ciencia y Tecnología

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Learning and the challenges of the teaching job are not only framed within the teaching profession, but also respond to complex needs that arise from students in their development contexts. As new educational, political and economic scenarios emerge, the challenges for teachers are diverse because they are responsible for responding to the community and society as a whole. The current scenarios are very different from the initial ones of the school, which to this day pursue the purpose of seeking answers. The aim of the work was to identify what students learn and at the same time what are the challenges of the work, profession and teacher training after the pandemic. The teacher is a subject that society demands a particular profile and a degree of responsibility that does not happen with other professions, since he/she has a very complex task that requires many elements. It is necessary in this context to train teachers in a curriculum that develops both deep knowledge of content areas and effective pedagogical understanding, including digital technologies in a cross-cutting manner, with clear learning objectives that include knowledge, skills and attitudes. The study also focuses on the context of COVID-19, being necessary to introduce technologies in a transversal way in initial and continuous teacher training throughout the educational system, but also computational thinking.

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Section: Resultados Y Discusiónunclassified

Teacher training, work, profession in the pandemic and post-pandemic context

Soto

Marín-Rodriguez

Baldeos-Ardían

et al. 2023

Salud, Ciencia y Tecnología

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“…Es primordial que las investigaciones realizadas sean patrimonio de los docentes en cuanto a balances generales de la práctica, los materiales, programas y metodologías existentes, evaluar los resultados obtenidos y todo ello debe difundirse ampliamente como los recursos utilizados, las enseñanzas obtenidas y los ejemplos de prácticas metodológicamente sólidas, con objeto de mejorar los programas existentes o inspirar otros nuevos. (6,7) Se pretenderá así según las Naciones Unidas: aplicar y reforzar metodologías educativas sólidas basadas en buenas prácticas y evaluadas de modo continuo. Las metodologías deberían ser participativas, basarse en las experiencias, centrarse en los educandos, estar orientadas a la acción y tener en cuenta los contextos culturales.…”

Section: Resultados Y Discusiónunclassified

Contribution to the exercise of the human right to education: training proposals for teachers, educational institutions and teachers

Rincon Soto,

Soledispa Cañarte,

Soledispa Cañarte

et al. 2023

Salud, Ciencia y Tecnología

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It is based on two central concepts to carry forward, the first in education and the second in human rights. The importance lies in the fact that each person has the right to receive quality education based on human rights, where each subject can enjoy a protected, inclusive and free life. It is essential to analyze the practice of education from a perspective that starts from human rights directly linked to social inclusion, in addition to the possibility of making proposals that help and frame this type of contribution of the exercise of human rights in education. Education based on human rights provides different spaces for action where a political-pedagogical activity is interacted that has the purpose of building in the classroom aspects that provide better inclusion and social equity for all. Education must be guaranteed by States because access to it is a right for all individuals and starting from an approach towards the exercise of a human right is to think that it can be an engine to train subjects in these bases and that truly any person can exercise it freely. Education has a fundamental role for development and changes in different societies, these changes have been made within and from human rights could not only be a challenge, but would bring immediate improvements in the quality of subjects individually and collectively.

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“…Among these algorithms, it has been observed that RandomForest has exhibited the best performance, achieving an accuracy of 99% (Table 03). Next, we will discuss the theoretical rationale behind why RandomForest has outperformed other algorithms [50][51][52][53][54] .…”

Section: Sample Selection Processmentioning

confidence: 99%

Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review

Andrade-Girón,

Sandivar-Rosas,

Marín-Rodriguez

et al. 2023

ICST Transactions on Scalable Information Systems

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Student dropout is one of the most complex challenges facing the education system worldwide. In order to evaluate the success of Machine Learning and Deep Learning algorithms in predicting student dropout, a systematic review was conducted. The search was carried out in several electronic bibliographic databases, including Scopus, IEEE, and Web of Science, covering up to June 2023, having 246 articles as search reports. Exclusion criteria, such as review articles, editorials, letters, and comments, were established. The final review included 23 studies in which performance metrics such as accuracy/precision, sensitivity/recall, specificity, and area under the curve (AUC) were evaluated. In addition, aspects related to study modality, training, testing strategy, cross-validation, and confounding matrix were considered. The review results revealed that the most used Machine Learning algorithm was Random Forest, present in 21.73% of the studies; this algorithm obtained an accuracy of 99% in the prediction of student dropout, higher than all the algorithms used in the total number of studies reviewed.

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Scientific production on dialogical pedagogy: a bibliometric analysis

Cited by 15 publications

References 8 publications

Teacher training, work, profession in the pandemic and post-pandemic context

Teacher training, work, profession in the pandemic and post-pandemic context

Contribution to the exercise of the human right to education: training proposals for teachers, educational institutions and teachers

Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review

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