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.

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Since Massive Open Online Courses (MOOCs) started to become part of the scene of Higher Education (HE), many institutions have joined the race of MOOC creation. However, producing MOOCs has shown to be a cumbersome and expensive activity for HE institutions. For this reason, many universities have started to explore and experiment with hybrid initiatives in which locally produced and third-party MOOCs are reused and integrated into traditional courses. Most of the hybrid initiatives described in the literature so far focus on flipped classroom experiences, although there are some other possibilities for integrating MOOCs in the curriculum. Moreover, few studies have reported on the institutional support required for implementing hybrid initiatives, and their benefits from a curriculum perspective. In order to shed some light on the opportunities that arise from the reuse of MOOCs, this paper presents H-MOOC, a framework that describes hybrid MOOC-based initiatives as a continuum of two factors: (1) institutional support to reuse an existing MOOC, and (2) curricular content alignment between the MOOC and the program, or the course hybridized. In addition, H-MOOC proposes indicators to measure the impact of these initiatives at both educational and institutional levels. Examples of actual hybrid initiatives and a set of guiding questions are presented to show how to apply the H-MOOC framework in different contexts.

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.

Higher education institutions are increasingly considering the use of a form of blended learning, commonly named as flipped classroom (FC), in which students watch video lectures drawn from a massive online open course (MOOC) before a face-to-face lecture. This methodology is attractive, as it allows institutions to reuse high-quality material developed for MOOCs, while increasing learning flexibility and the students' autonomy. However, the adoption of this methodology is low in general, especially in Engineering courses, as its implementation faces a number of challenges for students. The most salient challenge is the lack of student self-regulatory skills, which may result in frustration and low performance. In this paper, we study how a selfregulatory learning technological scaffold, which provides students with feedback about their activity in the MOOC, affects the engagement and performance of students in an Engineering course following a MOOC-based FC approach. To this end, we design an observational study with the participation of 242 students: 133 students in the experimental group (EG) who used a technological scaffold and 109 in the control group (CG) who did not. We did not find a statistically significant difference between the academic achievements of both groups. However, the EG exhibited a statistically significant greater engagement with the course and a more accurate strategic planning than the CG. The main implications for scaffolding self-regulated learning in FC derived from these results are discussed. K E Y W O R D S flipped classroom, higher education, massive open online course, self-regulation, time management 1 | INTRODUCTION Higher education institutions (HEIs) have been compelled to adapt and transform their education mission, placing innovation at the center of the learning and teaching processes. Such transformations are a response to changes in the educational landscape influenced by various factors, including new regulations (e.g., the European Bologna Process), changes in the demographics of the student population [30,55], PÉREZ-SANAGUSTÍN ET AL.