RT info:eu-repo/semantics/article
T1 WebAVALIA: Melhoria do Algoritmo de uma Ferramenta eAssessment Baseado num Inquérito ao Utilizador
A1 Babo, Rosalina
A1 Fitas, Ricardo
A1 Suhonen, Jarkko
A1 Tukiainen, Markku
K1 mathematical models
K1 students’ marks
K1 self- evaluation
K1 peer evaluation
K1 e-assessment
K1 machine learning
K1 feedback collection
K1 framework
AB There has been an increased use of workgroupsduring Problem-Based Learning (PBL) activities, which haveimplied the emergence of self and peer evaluation practices ineducation. In turn, these practices have highlighted theimportance of e-assessment tools where the collection offeedback is regarded. The consideration of the students’ selfand peer assessment about a project has influence on theirindividual mark. Literature states that e-assessment tools needto consider restrictions in the students’ distribution of scoresduring the self and peer assessment. An emerging technologythat has recently started to be applied in the development ofsoftware tools is Machine Learning. This technology allows thepossibility to implement algorithms that can process thestudents’ feedback about their marks, increasing the efficiencyon the methodology implemented. This paper presents aframework that collects feedback of a survey and translatesthose results in parameter values that will dynamically changethe distribution function of the final individuals’ mark. Theadvantages and restrictions of different solutions for theframework, based on the literature, are also discussed. Finally,there is the presentation of WEBAVALIA, a free software toolwhere the framework will be implemented, improving itsusability, user experience, flexibility, and efficiency.
YR 2021
FD 2021
LK http://riull.ull.es/xmlui/handle/915/40152
UL http://riull.ull.es/xmlui/handle/915/40152
LA pt
DS Repositorio institucional de la Universidad de La Laguna
RD 25-abr-2025