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ORIGINAL RESEARCH article

Front. Educ.

Sec. Leadership in Education

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1537174

This article is part of the Research Topic Continuing Engineering Education for a Sustainable Future View all 19 articles

The Effectiveness of Curriculum Standardization in Data Analysis and Tools Proficiency for Undergraduate Education: A Case Study

Provisionally accepted
  • 1 Faculty of Business, Panamerican University, Ciudad de México, Mexico
  • 2 Faculty of Engineering, Panamerican University, Ciudad de México, Mexico

The final, formatted version of the article will be published soon.

    The rapid evolution of technology necessitates the development of advanced computing and data analysis skills in undergraduate education. Standardizing curricula is a strategy to ensure consistent learning outcomes and align educational objectives with industry requirements. This study investigates the impact of a standardized curriculum on students' academic performance and professional certification outcomes.A quasi-experimental design was used to analyze 1,597 students enrolled in a data analysis course before and after implementing a standardized curriculum at a private university in Mexico City. The study assessed course grades and certification exam scores to evaluate the effectiveness of standardization. Parametric and non-parametric tests were applied to ensure robust analysis.Results: Implementing the standardized curriculum resulted in a slight decrease in average course grades but significantly improved certification exam scores, exceeding the threshold for certification. The findings highlight enhanced proficiency in data analysis tools and consistency in achieving educational objectives across groups.The results suggest that curriculum standardization effectively addresses teaching methodologies and assessment criteria discrepancies. While increased curriculum difficulty temporarily impacted grades, the improved certification outcomes demonstrate the value of standardization in preparing students for industry demands. These insights provide a foundation for future curriculum development to align academic instruction with the evolving requirements of a technology-driven workforce.

    Keywords: data analysis, digital tools, Curriculum standardization, higher education, Educational innovation

    Received: 30 Nov 2024; Accepted: 24 Mar 2025.

    Copyright: © 2025 Delatorre-Diaz, Ramírez-Pérez and Escobar-Castillejos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Héctor Ramírez-Pérez, Faculty of Engineering, Panamerican University, Ciudad de México, Mexico

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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