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CASA: An Architecture to Support Complex Assessment Scenarios

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  • معلومة اضافية
    • بيانات النشر:
      IEEE
    • الموضوع:
      2020
    • Collection:
      ADDI: Repositorio Institucional de la Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU - Basque Country University)
    • نبذة مختصرة :
      The evaluation or assessment of student performance and knowledge is a central element of most instructional design models, as it provides the information required to take remediation actions and improve the learning process. However, the assessment contexts present such a diverse range of cases due to course, teacher and student idiosyncrasies that it is difficult to support all the possibilities via software. To deal with this problem, this paper presents an architecture that satisfies the requirements to support complex assessment scenarios, those that potentially involve different evaluators using diverse assessment methods, tools and techniques at the same time. An analysis of the literature and the assessment scenarios of courses from Computer Engineering grades was carried out to identify the requirements for systems that support such complex assessment scenarios and to infer the information needed to support them. This information was modeled and formalized in the Complex Assessment Scenarios Architecture (CASA) that comprises functional modules, knowledge bases and the relationships among them. Following this architecture, an assessment system (AdESMuS) was developed using agile methodologies. AdESMuS has been satisfactorily tested under different complex assessment scenarios proving to be able to support those scenarios' requirements. This paper presents CASA, the architecture for developing a system to support complex assessment scenarios along with the satisfactory case study of AdESMuS. ; Basque Government under Grant IT980-16 Office of the Vice-Chancellor for Innovation, Social Engagement, and Cultural action of the UPV/EHU through the SAE-HELAZ under Grant HBT-Adituak 2018-19/6.
    • File Description:
      application/pdf
    • ISSN:
      2169-3536
    • Relation:
      https://ieeexplore.ieee.org/document/8959177; IEEE Access 8 : 14195-14206 (2020); http://hdl.handle.net/10810/64712
    • الرقم المعرف:
      10.1109/ACCESS.2020.2966595
    • Rights:
      info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ ; This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.C232C259