Personalized, Adaptive, and Accessible Learning Paths: User Experience and Assessment

The craving for adaptive learning is more viable from the technological advancement of LMS, AHS, and LXP by generating learning experiences that dynamically adjust to the level or type of course content, based on the student's abilities; the objective of this research is to develop learning paths guided by the activation of rules based on the analysis of the performance of each student to the various activities, sending alerts or personalized messages in addition to providing feedback with digital resources depending on the performance of students in the training activities of a subject; these digital resources also meet accessibility criteria and generate alternative formats to meet learning styles. The results of triggering rules are presented using the Open LMS PLD, where it can be appreciated that as the subject develops, the percentage of students in level A increases and those in level C decreases, in addition to an acceptable evaluation from students of the messages and alerts they receive.