102161 20230519145440.0 doi 10.3390/app11062554 sideral 124104 ART-2021-124104 eng Arroyo, Y. Learn-ciam: a model-driven approach for the development of collaborative learning tools 2021 Access copy available to the general public Unrestricted This paper introduces Learn-CIAM, a new model-based methodological approach for the design of flows and for the semi-automatic generation of tools in order to support collaborative learning tasks. The main objective of this work is to help professors by establishing a series of steps for the specification of their learning courses and the obtaining of collaborative tools to support certain learning activities (in particular, for in-group editing, searching and modeling). This paper presents a complete methodological framework, how it is supported conceptually and technologically, and an application example. So to guarantee the validity of the proposal, we also present some validation processes with potential designers and users from different profiles such as Education and Computer Science. The results seem to demonstrate a positive reception and acceptance, concluding that its application would facilitate the design of learning courses and the generation of collaborative learning tools for professionals of both profiles. info:eu-repo/grantAgreement/ES/MINECO/TIN2015-66731-C2-2-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.838 2021 ENGINEERING, MULTIDISCIPLINARY 39 / 92 = 0.424 2021 Q2 T2 PHYSICS, APPLIED 76 / 161 = 0.472 2021 Q2 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 218 / 345 = 0.632 2021 Q3 T2 CHEMISTRY, MULTIDISCIPLINARY 100 / 180 = 0.556 2021 Q3 T2 0.507 2021 Engineering (miscellaneous) 2021 Q2 Computer Science Applications 2021 Q2 Process Chemistry and Technology 2021 Q2 Materials Science (miscellaneous) 2021 Q2 Fluid Flow and Transfer Processes 2021 Q2 3.7 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Molina, A.I. Redondo, M.A. Gallardo, J. Universidad de Zaragoza (orcid)0000-0001-9895-0837 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 11, 6 (2021), 2554 [34 pp.] Appl. sci. Applied Sciences (Switzerland) 2076-3417 2671606 http://zaguan.unizar.es/record/102161/files/texto_completo.pdf Versión publicada 2776341 http://zaguan.unizar.es/record/102161/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:102161 articulos driver 2023-05-18-14:30:42 ARTICLE