Impact of Smart Learning in the Satisfaction of Students in Logistics Engineering from a Private University in Peru

Abstract

This research aims to evaluate the impact of smart learning on the academic satisfaction of Logistics and Transportation Engineering students at a Private University in Peru. The problem lies in improving the indicators of academic quality in the context of social isolation due to the pandemic. For this, the method of paired samples was applied with respect to the results, qualifications and perceptions of the students in the prepandemic phase (face-to-face modality) and during the pandemic (blended modality). The design of the intelligent learning process was carried out considering the achievements of specific competences of the students of the Engineering program. Obtaining as a result an adequate level of 75.52% in the achievement of competencies, equivalent to the upper limit of scale B, compared to the achievement before the application of the new intelligent model.