Dataset on student satisfaction in non-school distance learning programs in a rural context: Evidence from the Technological Institute of the Valley of Etla, Mexico V2

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Authors: FERNANDO ADRIHEL SARUBBI BALTAZAR, Marbella Sánchez Soriano
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Abstract

This dataset contains anonymized responses from 71 undergraduate students enrolled in non-classroom-based distance education programs at the Technological Institute of the Valley of Etla (ITVE), Mexico.Data were collected through a structured questionnaire using a five-point Likert scale and organized into five dimensions identified through exploratory factor analysis: cognitive autonomy, emotional and social self-regulation, cognitive presence, perception of the virtual learning environment, and contextual conditions.The dataset supports descriptive analysis, methodological replication, and secondary research on student satisfaction in distance higher education, particularly in geographically dispersed and socially vulnerable contexts.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026
Document type
Dataset