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Computer Tool for Collecting Surveys: Case of the Self-Perception Scale of Academic Performance

  • Universidad Nacional Mayor de San Marcos
  • Universidad Científica del Sur

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

Abstract

Research in education allows us to know multiple factors that allow us to know its level of implementation, the different aspects from the perspectives of teachers and students, for these investigations it is necessary to have computational tools to carry out the data registration, in the state of the art it is shown that Google forms is the most used technique as a mechanism for data registration, having some risks such as data security, for which a proposal for a mobile application is presented, as a means of recording data when trying to implement a questionnaire to conduct surveys, thereby increasing the security in data collection. The proposed methodology is to use a mobile application that can provide portability, and security when working with confidential information, the results show that questionnaires can be implemented to apply surveys such as self-perception of academic performance, which demonstrates the applicability to be applied and scaled the method in other surveys.

Original languageEnglish
Title of host publicationProceedings of 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI 2025
Pages2179-2183
Number of pages5
ISBN (Electronic)9781665457538
DOIs
StatePublished - 2025
Externally publishedYes
Event3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI 2025 - Coimbatore, India
Duration: 17 Sep 202519 Sep 2025

Publication series

NameProceedings of 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI 2025

Conference

Conference3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI 2025
Country/TerritoryIndia
CityCoimbatore
Period17/09/2519/09/25

Keywords

  • application
  • Collection
  • data
  • questionnaire tool
  • survey

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