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

Lucia Bautista-Zuniga, Juan Sotomayor-Burga, Gabriel Tirado-Mendoza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2022 10th International Conference on Information and Education Technology, ICIET 2022
Pages315-319
Number of pages5
ISBN (Electronic)9781665480482
DOIs
StatePublished - 2022
Event10th International Conference on Information and Education Technology, ICIET 2022 - Matsue, Japan
Duration: 9 Apr 202211 Apr 2022

Publication series

Name2022 10th International Conference on Information and Education Technology, ICIET 2022

Conference

Conference10th International Conference on Information and Education Technology, ICIET 2022
Country/TerritoryJapan
CityMatsue
Period9/04/2211/04/22

Keywords

  • autonomous learning
  • learning
  • level of academic satisfaction
  • smart campus
  • smart leaning
  • Teaching process

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