Personalized learning (PL) has emerged as a promising approach to address diverse educational needs, with artificial intelligence (AI) playing an increasingly pivotal role in its implementation. This systematic literature review examines the landscape of PL across various educational contexts, focusing on the use of AI and associated challenges. Using the PRISMA guidelines, 68 empirical studies published between 2018 and 2024 were analyzed, revealing correlations between academic levels, learning modalities, technologies, and implementation barriers. Key findings include (a) predominant use of AI in higher education PL implementations, (b) preference for blended learning in secondary and elementary education, (c) shift from technological to pedagogical barriers across educational levels, and (d) persistent psychological barriers across all contexts. This review provides valuable insights for educators, policymakers, and researchers, offering a comprehensive understanding of the current state and future directions of AI-driven personalized learning.

This article aims to show the results of implementing a training methodology in a group of participants within an intensive course on educational innovation. The motivation for this course was to promote innovative ideas that could be scaled into possible open educational entrepreneurship projects. Based on descriptive statistical analysis, that included a multivariate statistical analysis, an analysis of means and nonparametric tests of the data comparison of medians and ranges and Spearman's correlation, this article considered the SEL4C methodology, which was intended to support the ideation process and develop the participants' perceived achievement of social entrepreneurship and complex thinking competencies. The proposed methodology was validated to develop social innovation ideas even in a limited time and improved the participants' perception of achieving both competencies. This article contributes to the validation studies of this methodology and the academic approaches that seek efficient tools for acquiring and developing transdisciplinary competencies.

Nowadays, digital competencies encompass skills and attitudes with technical, informational, content, media, and communication aspects that are crucial for students and future professionals. Hence, there is a need to investigate the possible correlations between demographic and contextual variables and the development of digital competencies in higher education. This paper reports on several university-student demographic factors associated with digital competencies. The work used a quantitative approach with descriptive statistical techniques such as a means test and Pearson correlation analysis. The findings identified that (a) there are statistically significant differences between the mean obtained in the previous semester in digital competencies and the gender of the students, (b) there are no statistically significant differences in the final mean for digital competencies and the students’ institution of origin, and (c) the variables included in the study are statistically significant. They also found that the mean attained by the university students in the previous semester had a strong predictive power of student performance; in contrast, the student’s high school institution of origin variable was a weak predictor of their digital competency. This paper presents the findings and implications for practice and research.

El estudio se propuso analizar las propiedades psicométricas del Participant Role Appoach (PRA) para medir roles de espectadores en el acoso escolar en niños mexicanos. Participaron Participaron 787 estudiantes, 415 (52.7 %) niños (M edad = 10.59, DE = .66 años) y 372 (47.3 %) niñas (M edad = 10.51, DE = .64 años). Los resultados del análisis factorial confirmatorio sugieren que el modelo de tres roles (pro-acoso, pro-social y no comprometido) se ajusta mejor que el de cuatro roles (alentador, asistente, defensor y no comprometido). La PRA presenta invariancia de medición en ambos sexos, y evidencias de validez concurrente. Se concluyó que la escala posee propiedades psicométricas adecuadas para la medición de roles de espectadores.

En el estudio, se analizan las relaciones entre el maltrato docente-estudiante, clima social de la escuela, apoyo docente y el acoso entre estudiantes. Participaron 1 577 estudiantes (800 chicos y 777 chicas), con una edad promedio de 12.94 años (DE = 1.77 años), pertenecientes a 64 escuelas secundarias públicas de Sonora, México. Se calcula un modelo de ecuaciones estructurales con apoyo del AMOS. De los resultados, se infiere que el maltrato docente favorece de forma directa e indirecta, mediante sus efectos negativos, en el clima escolar y el apoyo docente y la violencia entre pares. Se concluye que el maltrato docente afecta negativamente la dinámica de las escuelas y favorece el acoso escolar. Finalmente, se discuten implicaciones teóricas y prácticas de los hallazgos.