Social networks as a pedagogical alternative in the state of exception, measured through learning analytics

Abstract

The study examines the use of general didactics in various educational environments, emphasizing the role of social networks as pedagogical tools in exceptional situations, such as health or social emergencies. Social networks facilitate interaction and the exchange of information, promoting the collaborative construction of knowledge. Learning analytics is crucial in this context, as it allows collecting data on students' interaction with educational materials, their online behavior patterns, and their academic progress. This data analysis allows educators to evaluate the effectiveness of teaching strategies and adjust practices in real time to improve the educational experience. Collaborative learning platforms that incorporate learning analytics are especially useful for monitoring participation and interaction among students, as well as for evaluating group problem solving and the effectiveness of online discussions. Learning analytics uses data mining and statistical techniques to identify patterns and trends, providing valuable information to improve the educational process. However, it is essential to interpret these findings carefully and turn them into practical strategies to optimize learning. In conclusion, both social networks and learning analytics offer innovative tools to face educational challenges in exceptional contexts.