Artificial intelligence in the measurement of emotions: a strategy for evaluating and analyzing the activities of the ACOFI Student Chapter

Abstract

This paper presents an innovative prototype that uses artificial intelligence technologies as a tool and strategy for evaluating the impact of activities within the framework of the operation of the ACOFI student network, which was designed for the analysis of videos and images with the aim of objectively evaluating the teaching and learning processes in academic environments. The prototype approach is relevant, especially in foundations and schools working in vulnerable contexts where resources and educational support may be limited

The system is responsible for identifying and measuring key indicators of student engagement, such as student interest, attention, and emotional responses during activities run by the ACOFI student chapter. This information is valuable since it allows leaders, moderators and speakers to adopt improvements and decision-making in their teaching methods, constant pedagogical and didactic strategies to address new scenarios of high social impact.

The project's methodology includes several stages: first, the design of a prototype that integrates various advanced technologies for video and image analysis. Second, the implementation of the system in real educational environments, where its operation can be observed. Finally, a validation is carried out to make sure that the prototype fulfills its purpose effectively. Preliminary results have been promising, showing that the system can provide useful data for educational evaluation through AI-based tools.

For ACOFI and the chapter, it is of great relevance to achieve results and measurements through the analysis of the results of activities with children and young people, because in this way clear panoramas are obtained about the benefits presented by academic networks in Colombia and also the projection of future work scenarios.