Integration of Computer Science Assessment into Learning Management Systems with JuezLTI

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2022

Autores

Carrillo, JV (Autor) Outra; Sierra, A (Autor) Outra; José Paulo Leal (Autor) FCUP; Ricardo Queiros (Autor) Outra; Pellicer, S (Autor) Outra; Primo, M (Autor) Outra

Ata de Conferência Internacional

Título: Third International Computer Programming Education Conference, ICPEC 2022, June 2-3, 2022, Polytechnic Institute of Cávado and Ave (IPCA), Barcelos, Portugal.

Páginas: 9:1-9:8

3rd International Computer Programming Education Conference, ICPEC 2022

2 June 2022 through 3 June 2022

Indexação

Scopus

Outras Informações

ID Authenticus: P-00W-WJD

DOI: 10.4230/oasics.icpec.2022.9

Abstract (EN): Computer science is a skill that will continue to be in high demand in the foreseeable future. Despite this trend, automated assessment in computer science is often hampered by the lack of systems supporting a wide range of topics. While there is a number of open software systems and programming exercise collections supporting automated assessment, up to this date, there are few systems that offer a diversity of exercises ranging from computer programming exercises to markup and databases languages. At the same time, most of the best-of-breed solutions force teachers and students to alternate between the Learning Management System - a pivotal piece of the e-learning ecosystem - and the tool providing the exercises. This issue is addressed by JuezLTI, an international project whose goal is to create an innovative tool to allow the automatic assessment of exercises in a wide range of computer science topics. These topics include different languages used in computer science for programming, markup, and database management. JuezLTI borrows part of its name from the IMS Learning Tools Interoperability (IMS LTI) standard. With this standard, the tool will interoperate with reference systems such as Moodle, Sakai, Canvas, or Blackboard, among many others. Another contribution of JuezLTI will be a pool of exercises. Interoperability and content are expected to foster the adoption of JuezLTI by many institutions. This paper presents the JuezLTI project, its architecture, and its main components. © Carrillo, Juan V.; Sierra, Alberto; Leal, Jose Paulo; Queirs, Ricardo; Pellicer, Salvador; Primo, Marco; licensed under Creative Commons License CC-BY 4.0

Idioma: Inglês

Tipo (Avaliação Docente): Científica