Abstract Waste generation has been increasing at a tremendous rate in the last three decades leading to challenges for the administration and government. Improper waste management has consequences for ecological imbalance. We investigated the waste management practices, track awareness of the stakeholders and efficiency of the environment management system in a major case study in this paper.... Waste generation has been increasing at a tremendous rate in the last three decades leading to challenges for the administration and government. Improper waste management has consequences for ecological imbalance. We investigated the waste management practices, track awareness of the stakeholders and efficiency of the environment management system in a major case study in this paper. Read More Read Less

Abstract Learning analytics provide a set of elements for data analysis in the educational field. This analysis is complemented with semantic web tools that allow obtaining a wider benefit, overcoming the interoperability barrier, and the capacity to generate new knowledge. The present work aims to facilitate the management of courses offered in the various online education platforms through learning analytics. The... Learning analytics provide a set of elements for data analysis in the educational field. This analysis is complemented with semantic web tools that allow obtaining a wider benefit, overcoming the interoperability barrier, and the capacity to generate new knowledge. The present work aims to facilitate the management of courses offered in the various online education platforms through learning analytics. The analytics process includes extracting, transforming, and loading data stored in an RDF data repository. It has also required designing and implementing an ontology representing MOOC courses. Finally, the visualization of the obtained indicators will be available in a dashboard with access for end users. Read More Read Less

Abstract This study investigates the perception of 42 science teachers in Chile after participating in a two-week workshop focused on the curricular integration of Machine Learning technology to enrich their teaching strategies in the Science course. Using KPSI-type Likert surveys, a pre and posttest was administered to assess changes in perception, followed by statistical analysis. The results highlight significant improvements in teachers’... This study investigates the perception of 42 science teachers in Chile after participating in a two-week workshop focused on the curricular integration of Machine Learning technology to enrich their teaching strategies in the Science course. Using KPSI-type Likert surveys, a pre and posttest was administered to assess changes in perception, followed by statistical analysis. The results highlight significant improvements in teachers’ perception in key areas, such as digital citizenship knowledge, digital resource selection to support their teaching, and more positive attitudes towards the integration of Machine Learning in the classroom. However, significant challenges were identified related to the conceptualization and application of Machine Learning in the educational environment. This study underscores the need to provide additional support and specific training to overcome barriers to the successful adoption of these technologies in science education. These findings are relevant for the development of effective teacher training strategies and the promotion of successful integration of Machine Learning in educational settings. Read More Read Less