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Direct measurement of learning outcomes in higher education: A proposal of nine standardized scales for continuous improvement in engineering programs

  • Mónica Hernández-Campos
  • , Jorge Esteban Prado-Calderón
  • , Antonio Gonzalez-Torres
  • , Francisco José García-Peñalvo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Despite the growing interest in measuring learning outcomes as evidence of comprehensive education in higher education institutions, objectively assessing these outcomes remains a challenge. This study addresses this problem by developing and validating nine standardized direct assessment scales tailored for engineering programs, with the goal of enhancing quality assurance. Study 1 focused on designing indicators for the scales through expert workshops and peer judgment processes, looking for content validity using Fleiss Kappa. Study 2 involved instructors using these instruments to assess various learning outcomes in a STEM-focused university. Analysis of 1420 assessments revealed strong validity and reliability indicators, including unifactorial structures, high reliability, discrimination, and appropriate difficulty levels for all scales. The research contributes evidence supporting the content validity of these assessment instruments, offering valuable tools for researchers and practitioners in engineering education to support continuous improvement. These scales have the potential to support future comparative research, inform quality assurance decisions, and enhance comprehensive education practices. Finally, the study discusses its limitations and provides directions for future research.

Original languageEnglish
Article number102638
JournalEvaluation and Program Planning
Volume112
DOIs
StatePublished - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Assessment
  • Attributes
  • Continuous improvement
  • Curriculum analytics
  • Engineering
  • Higher education
  • Learning outcomes

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