Measurement of The Teaching-Learning Pedagogical Model Through Artificial Intelligence

This research proposes to measure the pedagogical teaching-learning models used by teachers through the use of artificial intelligence. The methodology follows a quantitative, correlational and explanatory approach through neural networks and the use of SPSS and AMOS software. The selected sample is made up of 172 unified general high school (BGU) education teachers from District 23D02 of the city of Santo Domingo, Ecuador. Four pedagogical models are identified: Traditional, Constructivist, Technological and Behaviorist. The results reveal high reliability of the items that make up each pedagogical model (0.987), excellent factor loading for the questions (.70). The regression and correlation analysis is significant, with a higher score for the behavioral model (.959) and the traditional model (.956) with average variance extracted greater than (.50). In conclusion, teachers use the behavioral and traditional models more predominantly and measurement is recommended based on the teacher's academic degree and the perception of students and parents.