Curricular integration in formal teaching of citizen science can bring to the classroom aspects of scientific literacy that encourage the involvement of citizens. In particular, these include non-epistemic aspects related to the sociology of science (which are often not transferred to the classroom). Furthermore, this practice raises awareness among students, and encourages them to become participants in the attainment of the United Nations’ Sustainable Development Goals (SDGs). This article describes a proposal for the integration of a citizen science project into the secondary education curriculum that can be reproduced in any educational center. Eighty-three secondary school pupils (14–15 years old) took part in this research at a city-center school in Northern Spain. A questionnaire based on validated studies was created and used to analyze the changes in attitudes of pupils towards science and technology and their improvement in scientific literacy in terms of scientific processes and scientific situations. The results indicate a significant improvement in the attitudes towards science and technology among the participating learners, as well as a better understanding of scientific processes and situations. Likewise, the results reflect how the implementation of the citizen science project contributes to the SDGs.

Chatbots are a promising resource for giving students feedback and helping them deploy metacognitive strategies in their learning processes. In this study we worked with a sample of 57 university students, 42 undergraduate and 15 Master's degree students in Health Sciences. A mixed research methodology was applied. The quantitative study analysed the influence of the variables educational level (undergraduate vs. master's degree) and level of prior knowledge on the frequency of chatbot use (low vs. average), learning outcomes, and satisfaction with the chatbot's usefulness. In addition, we examined whether the frequency of chatbot use depended on students' metacognitive strategies. The qualitative study analysed the students' suggestions for improvement to the chatbot and the type of questions it used. The results indicated that the level of degree being studied influenced the frequency of chatbot use and learning outcomes, with Master's students exhibiting higher levels of both, but levels of prior knowledge only influenced learning outcomes. Significant differences were also found in students' perceived satisfaction with the use of the chatbot, with Master's students scoring higher, but not with respect to the level of prior knowledge. No conclusive results were found regarding frequency of chatbot use and the levels of students' metacognitive strategies. Further studies are needed to guide this research based on the students' suggestions for improvement.

Currently, teaching in higher education is being heavily developed by learning management systems that record the learning behaviour of both students and teachers. The use of learning management systems that include project-based learning and hypermedia resources increases safer learning, and it is proven to be effective in degrees such as nursing. In this study, we worked with 120 students in the third year of nursing degree. Two types of blended learning were applied (more interaction in learning management systems with hypermedia resources vs. none). Supervised learning techniques were applied: linear regression and k-means clustering. The results indicated that the type of blended learning in use predicted 40.4% of student learning outcomes. It also predicted 71.9% of the effective learning behaviors of students in learning management systems. It therefore appears that blended learning applied in Learning Management System (LMS) with hypermedia resources favors greater achievement of effective learning. Likewise, with this type of Blended Learning (BL) a larger number of students were found to belong to the intermediate cluster, suggesting that this environment strengthens better results in a larger number of students. BL with hypermedia resources and project-based learning increase students´ learning outcomes and interaction in learning management systems. Future research will be aimed at verifying these results in other nursing degree courses.

Higher education is one of the driving forces behind the social and economic development of countries, with the ultimate aim of providing quality academic training. At present, teaching-learning models in virtual environments face a number of important challenges, particularly in the current situation caused by COVID-19. Some of these challenges will be addressed in this study. We worked with 225 third-year undergraduate students in health science degrees over two academic years during the pandemic. The objectives were: (1) to ascertain whether there were significant differences in student satisfaction with the teaching process in the first year of the pandemic (e-learning teaching) vs. the second year (b-learning teaching); (2) to determine whether there were significant differences in academic performance between the two groups. Quantitative research (using a 2x2 factorial design, ANOVA and ANCOVA) and qualitative research (using a comparative design with categorisation analysis) were carried out. The results indicate differences in some aspects of satisfaction and learning outcomes in favour of teaching in the second of the two years. Students rated the use of active methodologies and technological resources positively, although they concluded that their use required more work time. Future studies will seek to compare student satisfaction in other areas of knowledge. La Educación Superior es uno de los motores del desarrollo social y económico de los países, teniendo como objetivo último el de facilitar una formación académica de calidad. En la actualidad, los modelos de enseñanza-aprendizaje en entornos virtuales implican retos importantes, específicamente en la actual situación por la COVID-19. Algunos de estos desafíos se abordarán en este estudio. Se trabajó con 225 estudiantes de tercero de grado en titulaciones de Ciencias de la Salud, a lo largo de dos cursos académicos impartidos durante la situación de pandemia. Los objetivos fueron: 1) comprobar si existían diferencias significativas en la satisfacción de los estudiantes con el proceso docente respecto del primer año de pandemia (se aplicó docencia e-Learning) vs. el segundo año (se aplicó docencia b-Learning); 2) comprobar si existían diferencias significativas en los resultados académicos entre ambos grupos. Se realizó una investigación cuantitativa (se utilizó un diseño factorial 2x2, ANOVA y ANCOVA) y otra cualitativa (se utilizó un diseño comparativo con análisis de categorización). Los resultados indican diferencias en algunos aspectos de la satisfacción y en los resultados de aprendizaje, a favor de la docencia en el segundo año. Los estudiantes valoraron positivamente el uso de metodologías activas y de recursos tecnológicos, si bien concluyeron que su uso exigía más tiempo de trabajo. Futuros estudios se dirigirán a contrastar la satisfacción de estudiantes en otras ramas de conocimiento.

Monitoring through the use of eye-tracking technology helps in understanding the cognitive load learners experience when doing tasks. This data gives the teacher and the student important information for improving learning outcomes. This study examined whether students’ participation in a learning virtual laboratory, with a self-regulated video monitored with eye-tracking, would influence their learning outcomes. It also examined whether students’ prior knowledge affected their learning outcomes. Lastly, the study identified clusters related to cognitive load in relevant Areas of Interest vs. non-relevant Areas of Interest. The sample comprised 42 university students of health sciences. The results indicate that participation in the virtual laboratory was related to better learning outcomes. In addition, prior knowledge did not affect cognitive load. A number of different clusters were found related to indicators of cognitive load in relevant and non-relevant AOIs. More applied studies are needed about the effects of monitoring on learning outcomes and on what it means for individualization of learning.

In this study, we used a module for monitoring and detecting students at risk of dropping out. We worked with a sample of 49 third-year students in a Health Science degree during a lockdown caused by COVID-19. Three follow-ups were carried out over a semester: an initial one, an intermediate one and a final one with the UBUMonitor tool. This tool is a desktop application executed on the client, implemented with Java, and with a graphic interface developed in JavaFX. The application connects to the selected Moodle server, through the web services and the REST API provided by the server. UBUMonitor includes, among others, modules for log visualisation, risk of dropping out, and clustering. The visualisation techniques of boxplots and heat maps and the cluster analysis module (k-means ++, fuzzy k-means and Density-based spatial clustering of applications with noise (DBSCAN) were used to monitor the students. A teaching methodology based on project-based learning (PBL), self-regulated learning (SRL) and continuous assessment was also used. The results indicate that the use of this methodology together with early detection and personalised intervention in the initial follow-up of students achieved a drop-out rate of less than 7% and an overall level of student satisfaction with the teaching and learning process of 4.56 out of 5.