Distance education programs in higher education are gaining popularity mostly due to the flexibility of the formative programs to fit all the requirements that brick-and-mortar educational institutions are not able to provide to students. However, quite often these distance programs report feelings of isolation, lack of self-direction and management, and eventual decrease in motivation levels. Thus, the main aim of this research is to assess the effect of following an active learning methodology on the students’ emotions, self-efficacy beliefs and learning outcomes in the context of a distance learning program in an Atmospheric Pollution course. According to the results, the use of these methodologies not only had a significant promotion in the positive emotions and self-efficacy beliefs, but also positive impact in the students’ learning outcomes. The results obtained in this research demonstrate that following an appropriate learning methodology in a distance program could contribute to reduce the main handicaps of these programs.

The knowledge of the polymeric composition of microplastics (MPs) is interesting because offers useful information on the resistance, durability, and degradability of these materials, also allowing progress in the control of this contamination. However, there is currently a lack of reliable standardized methods for the identification, and characterization of the plastic microparticles. This work uses different techniques in a complementary manner for the identification, and characterization of MPs that more frequently are found in the environment. A total of 10 types of plastics were collected (polystyrene (PS), polyethylene terephthalate (PETE), polyethylene (PE), high- and low-density polyethylene (HDPE and LDPE, respectively), polyvinyl chloride (PVC), polypropylene (PP), polytetrafluoroethylene (PTFE), Polyamide (PA, Nylon 6,6) and poly-carbonate (PC)) and their chemical identification were analyzed by reflectance-attenuated infrared (FTIR-ATR). Furthermore, the samples were observed using light microscopy, and scan-ning electron microscopy (SEM). Also, staining with 12 different dyes was performed to improve the identification of microplastics. The results of this study revealed that PETE, PE, HDPE and LDPE, whose SEM images exhibited smoothness and flat uniformity of their surface, were not (or less) susceptible to adsorb staining solutions while PP, PA, PVC, and PTFE, were capable of adsorbing the dye solutions.