RT journal article
T1 Open data framework for sustainable assessment of project-based learning experiences
A1 Traverso Ribón, Ignacio
A1 Balderas Alberico, Antonio
A1 Dodero Beardo, Juan Manuel
A1 Ruiz Rube, Iván
A1 Palomo Duarte, Manuel
A2 Ingeniería Informática
K1 Metrics
K1 Project-based learning
K1 Extraction, transformation and load
K1 Software forges
K1 Sustainable assessment
AB PurposeIn a project-based learning experience, the detailed monitoring of the activities in which team members participate can be useful to evaluate their work. However, the project activity produces a large amount of data that can be hardly assessed by a single project supervisor. This poses a scalability issue if the number of users or projects size increases. In this vein, the purpose of this paper is to make the assessment of online learning experiences more sustainable.Design/methodology/approachThis paper describes a learning-oriented collaborative assessment method, supported by an open data framework. Also, an architecture for the extraction of different indicators to facilitate the assessment process is presented.FindingsThe assessment method and the open data framework were applied to a project-based course on web engineering. This experience has provided positive evidences because the grade measurement was backed up with assessment evidences and calculated with less effort.Research limitations/implicationsAt the moment, results indicate that apparently there are no significant evidences against the sustainable evaluation practices for students’ summative evaluation. Nevertheless, when more data become available, a more statistically significant analysis could be made to determine the influence of the assessment practices in the final result of the evaluated skills.Originality/valueIn contrast to various existing proposals for e-assessment, the strategy focuses on assessing learning experiences in software development projects. Also, the approach is based on the reuse of information from external process supporting tools by integrating a number of metrics in a non-intrusive way.
PB Emerald
SN 0033-0337
YR 2016
FD 2016-01-19
LK http://hdl.handle.net/10498/33361
UL http://hdl.handle.net/10498/33361
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 11-nov-2026