Automated Assessment in Learning and Teaching Programming Languages using Virtual Learning Environment
Ján Skalka, Martin Drlík, Juraj Obonya · 2019
The paper investigates the impact of different types of e-learning course activities on the first-year university students' results in the introductory programming course. The primary goal of three years of research is to uncover the role of a few types of activities, especially the purpose of an automated assessment. Despite the education systems function supported the automated assessment of source code is one of the most useful tools of programming learning, there are only a few researches inspected its effectiveness and impact. The paper compares involved groups of students, their motivation and expectations collected via a set of questionnaires. It investigates the significance of automated assessment of source code in the educational process. The results show significant differences between groups with and without the use of automated assessment were not proven. Finally, the authors researched the relationship between the number of solved tasks and the student's outcomes of the evaluation and identified a positive correlation.