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The study aims to diagnose good practices in the use of artificial intelligence in two higher education institutions located in Quito. It follows the quantitative, descriptive, cross-sectional field paradigm. Data collection techniques: survey and interview. Instruments: questionnaire and structured interview. Population: 93 teachers, six coordinators and 2557 students. Teachers and coordinators responded to the survey and interview in 100%, respectively. For students, the sample was 352. Results: Of the six dimensions analyzed, five have a perception of high-moderate significance and one moderate. The opinion of the coordinators corresponds to that of teachers and students. The neutral option was selected by teachers and students in 25.76% and 26.78% respectively. The structuring of a continuing education program for teachers is proposed.

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Best Practice in the Use of Artificial Intelligence in Higher Education Institutions

  • 会议论文

  • 发表日期：

    2026年

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  • Quintero Cordero Yolvy Javier,
  • Bustillos Peña Mayra Alejandra,
  • Gómez Ismari,
  • Mesa Fernández Boris

摘要

The study aims to diagnose good practices in the use of artificial intelligence in two higher education institutions located in Quito. It follows the quantitative, descriptive, cross-sectional field paradigm. Data collection techniques: survey and interview. Instruments: questionnaire and structured interview. Population: 93 teachers, six coordinators and 2557 students. Teachers and coordinators responded to the survey and interview in 100%, respectively. For students, the sample was 352. Results: Of the six dimensions analyzed, five have a perception of high-moderate significance and one moderate. The opinion of the coordinators corresponds to that of teachers and students. The neutral option was selected by teachers and students in 25.76% and 26.78% respectively. The structuring of a continuing education program for teachers is proposed.