Content area

Abstract

This study investigates the impact of introducing a mandatory practical programming exam on student learning outcomes in introductory programming courses. To facilitate structured coding practice and scalable automated feedback, we developed Programmers’ Interactive Virtual Onboarding (PIVO), a novel Automated Programming Assessment System (APAS). Traditional programming curricula often prioritize theoretical concepts, limiting practical coding opportunities and immediate feedback, resulting in poor skill retention and proficiency. By integrating mandatory practical assessments together with voluntary, self-driven programming tasks through PIVO, we aimed to enhance student engagement, programming proficiency, and overall academic performance. Results show a substantial reduction in failure rates following the introduction of the practical exam, and statistical analyses revealed moderate correlation between students’ voluntary engagement in non-mandatory coding exercises and their performance in both theoretical and practical examinations. These findings indicate an association among engagement in structured, automated practice assessments, algorithmic thinking, and problem-solving capabilities.

Details

1009240
Company / organization
Title
Practical Programming Exams with Automated Assessment Improve Student Engagement and Learning Outcomes
Author
Publication title
Volume
15
Issue
11
First page
1486
Number of pages
21
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22277102
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-04
Milestone dates
2025-09-19 (Received); 2025-11-02 (Accepted)
Publication history
 
 
   First posting date
04 Nov 2025
ProQuest document ID
3275510514
Document URL
https://www.proquest.com/scholarly-journals/practical-programming-exams-with-automated/docview/3275510514/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-26
Database
ProQuest One Academic