Automated Assessment in Computer Science: A Bibliometric Analysis of the Literature

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2023

Autores

Paiva, JC (Autor) Outra; Figueira, A (Autor) FCUP; José Paulo Leal (Autor) FCUP

Ata de Conferência Internacional

Título: LEARNING TECHNOLOGIES AND SYSTEMS, ICWL 2022, SETE 2022

Páginas: 122-134

21st International Conference on Web-Based Learning / 7th International Symposium on Emerging Technologies for Education (ICWL/SETE)

Tenerife, SPAIN, NOV 21-23, 2022

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Y-DZK

DOI: 10.1007/978-3-031-33023-0_11

Abstract (EN): Over the years, several systematic literature reviews have been published reporting advances in tools and techniques for automated assessment in Computer Science. However, there is not yet a major bibliometric study that examines the relationships and influence of publications, authors, and journals to make these research trends visible. This paper presents a bibliometric study of automated assessment of programming exercises, including a descriptive analysis using various bibliometric measures and data visualizations. The data was collected from the Web of Science Core Collection. The obtained results allow us to identify the most influential authors and their affiliations, monitor the evolution of publications and citations, establish relationships between emerging themes in publications, discover research trends, and more. This paper provides a deeper knowledge of the literature and facilitates future researchers to start in this field.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13