Abstract:

The growing importance of online learning and the responsibility that each Higher Education Institution (HEI) assumes towards society in general and in higher education in particular, leads it to develop online learning strategies in order to meet the increasing demand for this mode of learning, whether in pure e-learning form, or in hybrid one, known as b-learning.

During the pandemic-induced closure, HEIs had to resort to online learning, but this teaching modality is here to stay, either as a complement to face-to-face classes or as a unique model, with different typologies.

Therefore, it is necessary to evaluate how to offer new learning processes, pedagogical innovation, including its evaluation. This is a need of society in general and particularly in higher education, where pedagogical innovation at the level of Digital Educational Resources (DER) becomes increasingly important for any higher education student and consequently for any HEI.

One of the major changes in the development of DER, mainly regarding the exponential growth of open resource modalities, are MOOCs (Massive Open Online Courses), massive, open, online classes that aim to provide an educational format that, although concrete possibilities for university education, lack institutional policies for their consolidation. This is the context of this project. With the aim of contributing to pedagogical innovation and to the development of new methodologies in higher education in the digital education field in the statistics domain, a cross-cutting area of knowledge, we have developed a course called "Statistics for All", both for new learnings and for learning recovery.

The appropriate methodology for research and implementation of pedagogical innovation resources that will support this project is star
For the development of this project, the team includes teachers/researchers from different institutes of the Lisbon Polytechnic, with different experiences in research on teaching in face-to-face and online contexts, in the areas for which the project result is intended.

This project, still in development, started by identifying good practices in the development of MOOCs in the area of statistics. After identifying these practices and seeing how they could be adapted to our reality, we moved on to the development and implementation of a MOOC about introduction to descriptive statistics data analysis. In the future, the aim is to evaluate the impact of this MOOC on learning when implemented at the Lisbon Polytechnic.

This project aims to contribute to the knowledge of new teaching methodologies and to the pedagogical innovation of the Lisbon Polytechnic within its distance education policy, extending the results of this experience to the entire scientific community.

Keywords:

e-learning, higher education, learning process, MOOC, Statistic.