Learning Analytics (LA) is perceived to be a promising strategy to tackle persisting educational challenges in Latin America, such as quality disparities and high dropout rates. However, Latin American universities have fallen behind in LA adoption compared to institutions in other regions. To understand stakeholders' needs for LA services, this study used mixed methods to collect data in four Latin American Universities. Qualitative data was obtained from 37 interviews with managers and 16 focus groups with 51 teaching staff and 45 students, whereas quantitative data was obtained from surveys answered by 1,884 students and 368 teaching staff. According to the triangulation of both types of evidence, we found that (1) students need quality feedback and timely support; (2) teaching staff need timely alerts and meaningful performance evaluations, and (3) managers need quality information to implement support interventions. Thus, LA offers an opportunity to integrate data-driven decision-making in existing tasks.

In Latin American universities, Learning Analytics (LA) has been perceived as a promising opportunity to leverage data to meet the needs of a diverse student cohort. Although universities have been collecting educational data for years, the adoption of LA in this region is still limited due to the lack of expertise and policies for processing and using educational data. In order to get a better picture of how existing data‐related practices and policies might affect the incorporation of LA in Latin American institutions, we conducted a mixed methods study in four Latin American universities (two Chilean and two Ecuadorian). In this paper, the qualitative data were based on 37 interviews with managers and 16 focus groups with 51 teaching staff and 45 students; the quantitative data were collected through two surveys answered by 1884 students and 368 teachers, respectively. The findings reveal opportunities to incorporate LA services into existing data practices in the four case studies. However, the lack of reliable information systems and policies to regulate the use of data imposes challenges that need to be overcome for future LA adoption.

Resumen-El retraso en completar programas de estudio de pregrado es un problema importante en la educación superior. Este trabajo explora el retraso académico en dos programas de ingeniería usando una representación de trayectorias académicas novedosa que resume la información semestre a semestre de riesgo de retraso asociado a rendimiento, carga académica y dificultad de los cursos. La representación del riesgo de atraso semestre a semestre permite agrupar y contrastar trayectorias. Examinando las trayectorias en dos programas de ingeniería y comparando entre estudiantes que completaron y que abandonaron el programa, encontramos patrones de riesgo de retraso que investigadores y directores de programa pueden identificar y asociar a factores gatillantes. El modelo y análisis presentado en este trabajo contribuye a una mejor comprensión del retraso académico y puede servir para apoyar procesos de adaptación y redise ño curricular.

Strengthening critical thinking abilities of citizens in the face of news published on the web represents a key challenge for education. Young citizens appear to be vulnerable in the face of poor quality news or those containing nonexplicit ideologies. In the field of data science, computational and statistical techniques have been developed to automatically collect and characterize online news media in real time. Nevertheless, there is still not a lot of interdisciplinary research on how to design data exploration platforms supporting an educational process of critical citizenship. This article explores this opportunity through a case study analyzing critical thinking ability of students when facing news dealing with the social mobilization “No+APF”. From data collected through 4 online exercises conducted by 75 secondary school students, 55 university students and 25 communication specialists, we investigate to what extent young citizens are able to classify news headlines and ideological orientation of news media outlets. We also question the influence of the media’s brand name and the subjectivity of each participant in regards to the social mobilization “No+APF”. The results underline the importance of group work, the influence of the brand name and the correlation between criticalthinking abilities and having a defined opinion. Fortalecer el pensamiento crítico de ciudadanos frente a noticias de Internet representa un desafío educativo clave. Los jóvenes ciudadanos parecen vulnerables frente a noticias de mala calidad u orientaciones ideológicas poco explícitas. Desde la ciencia de datos se desarrollan técnicas informáticas y estadísticas para recopilar prensa digital en tiempo real y caracterizarla automáticamente. Sin embargo, existe poca investigación interdisciplinar para diseñar plataformas de exploración de datos al servicio de un proceso educativo de ciudadanía crítica. Este artículo investiga esa oportunidad, mediante un estudio de caso en Chile que analiza la capacidad crítica del alumnado frente a noticias de un hecho social relevante: la movilización social «No+AFP». A partir de cuatro tareas en línea ?realizadas por 75 estudiantes de secundaria, 55 estudiantes universitarios y 25 especialistas en comunicación? preguntamos en qué medida los jóvenes son capaces de calificar titulares de prensa y orientaciones ideológicas de medios de comunicación. Por otra parte, analizamos la influencia de la marca del medio y de la subjetividad que, frente al movimiento social «No+AFP», imprime cada participante al pensamiento crítico. Los resultados obtenidos destacan la relevancia del trabajo en grupo, la influencia de la marca del medio de prensa y la correlación entre tener una opinión definida y la capacidad crítica.

Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three cases, the context was the main ruling factor to these adaptations. In this paper, we describe these adaptions using a framework that focuses on four different elements of the context: Objectives, Stakeholders, Key moment and Interactions. Evaluation of the adapted dashboards in the three different Latin American universities are conducted through pilots. This evaluation shows the value of the dashboard approach in different contexts in terms of satisfaction, usefulness and impact in academic decision-making and advising tasks. The main contribution of this paper is the systematic reporting of the adaptations to an academic advising dashboard and showing the value of an academic advising dashboard on academic decision-making and advising tasks.