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Related Experiment Video

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Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

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Published on: February 10, 2016

Dataset of academic performance evolution for engineering students.

Enrique Delahoz-Dominguez¹, Rohemi Zuluaga¹, Tomas Fontalvo-Herrera²

¹Universidad Tecnológica de Bolívar, Colombia.

|April 30, 2020

Summary

This dataset offers insights into engineering student performance in national assessments, linking academic, social, and economic factors. It enables analysis of educational data mining and student success factors.

Keywords:

Continuous assessment Education Educational data mining Learning analytics Predictive evaluation

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Area of Science:

Educational Assessment
Data Science in Education

Background:

National assessments provide crucial data for evaluating educational systems.
Understanding factors influencing student performance is key to improving educational outcomes.

Purpose of the Study:

To present a comprehensive dataset on engineering students' national assessment results.
To facilitate research on the impact of socio-economic factors on academic performance.
To support the development of educational data mining applications.

Main Methods:

Data compilation through the cross-referencing of databases from the Colombian Institute for the Evaluation of Education (ICFES).
Inclusion of academic, social, and economic variables for 12,411 secondary and university engineering students.
Data organized in a comma-separated value (CSV) format for accessibility.

Main Results:

The dataset allows for the observation of social variables' influence on student learning.
It enables tracking the evolution of students' learning skills over time.
Provides a foundation for analyzing academic efficiency and student recommendation systems.

Conclusions:

This data article makes a valuable resource available for educational research.
The dataset is poised to advance fields such as educational data mining and learning analytics.
Accessible data repository facilitates further investigation into higher education performance.