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Software engineering open-ended answer dataset

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Evidence · 2 claims (2 for) · 1 study (1 design), q1 · 0 of 1 report an effect size · 2 claims rest on one study

Description

An anonymized dataset created by Pecuchova et al. containing 1,885 Moodle open-ended responses from 110 university software-engineering students, with reference answers and human-rater grades for evaluating automated grading systems.

Components

  • Software engineering open-ended answer dataset (1,885 responses, 110 students, 24 questions): An anonymized dataset of open-ended answers collected via Moodle in a blended Software Engineering course at Constantine the Philosopher University in Nitra. "In total, the dataset includes 1,885 responses from 110 unique students" answering 24 questions on software requirements, UML diagrams, development models and agile methodologies. Each record holds the student ID, question, student answer, reference answer, and grades from two human raters. The dataset was created by the authors under a research project on automated grading with generative AI support. (Pecuchova et al. (2025))

Claims

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Key Sources

  • Pecuchova, J., Benko, Ľ., & Drlik, M. (2025). Automated Grading of Open-Ended Questions in Higher Education Using GenAI Models. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00517-2
Page metadata
Field Value
type product
id software-engineering-open-ended-answer-dataset
title Software engineering open-ended answer dataset
description An anonymized dataset created by Pecuchova et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-12
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