Integration and accumulation of data through OWA-TOPSIS in the evaluation of educational inclusion and curricular adaptation within the teaching-learning process

Abstract

The application of advanced analysis methods, such as OWA-TOPSIS, in the evaluation of educational inclusion and curricular adaptation, emerges as a revolutionary tool that transforms the teaching-learning process. This study examines how the integration and accumulation of data through these methods can offer a more holistic and detailed view of educational performance and effectiveness. By combining ordered weighting techniques with multi-criteria analysis, more accurate and equitable evaluation is achieved, providing educators and administrators with critical information to make informed decisions. OWA-TOPSIS's ability to manage and synthesize large volumes of data enables an in-depth assessment of inclusive and adaptive practices, revealing patterns and trends that would otherwise go unnoticed. Furthermore, the use of OWA-TOPSIS facilitates a more agile and responsive curricular adaptation, adjusting to the specific needs of students and promoting a more inclusive learning environment. This approach not only improves the quality of teaching, but also empowers students, giving them a voice in the educational process. Through this detailed analysis, areas of improvement and success can be identified, allowing for constant evolution of curriculum and pedagogical practices. Ultimately, the adoption of these advanced analysis methods not only optimizes educational evaluation, but also promotes Greater Equity and Quality in Education, Paving the Way for a More Inclusive and Adaptive Educational Future.