Predictive models to measure the efficiency of inclusive mathematical games in students of the educational unit 'Manuela Cañizares', Orellana

Abstract

Inclusive education is an important factor to ensuring that everyone has the opportunity to learn fairly, but students with disabilities often face significant challenges, especially in mathematics. The current research focuses on evaluating the effectiveness of an inclusive math game at “Unidad Educativa Manuela Cañizares”, located in Orellana province which was created specifically for students with disabilities. It used a quantitative approach and a pretest-posttest quasi-experimental design; applying the CRISP-DM methodology to manage the data. To start, the sample included 124 students with disabilities with variables such as: age, type of disability, educational level, attendance, attempts in the game, and motivation were analyzed further. On the other hand, logistic regression models and time series analysis were used to assess the impact of the game on academic performance. The results showed a 25% improvement in math skills and a significant positive correlation between motivation and student performance. In addition, the predictive model achieved 96% accuracy, supporting its effectiveness in anticipating academic progress. In conclusion, the combination of gamification and predictive models in inclusive education represents an innovative and effective strategy, and its implementation in various contexts is recommended; as well as the training of teachers in adaptive pedagogical methodologies.