{"title":"Plenary: Digitalization of Self-Evaluation Model for the Colombian Accreditation System","authors":"Jesus Alfonso Perez Gama","doi":"10.1109/EDUNINE.2019.8875750","DOIUrl":null,"url":null,"abstract":"Mathematical-Computational Model with Artificial Intelligence: complex architecture with Fuzzy Logic for analytical, quantitative, and qualitative Self-evaluation of Research and Innovation Products in face of multiple management determinations of research knowledge; and Architecture Fuzzy Dashboard Matrix that makes it possible to obtain metrics of university contributions. This developed model is our commitment to The National Accreditation Council of Colombia in Digital Transformation. The self-evaluation precedes the high quality in Higher Education (HE). We present some constructs supported by Artificial Intelligence: USANJOSE-AUTOEVAL-ANALYTIC. It is a complex architecture supported by Fuzzy logic for analytical, quantitative, and qualitative Self-Evaluation of Research and Innovation Products in front of different dimensions and multiple management determinations of research knowledge. The foundation of the Architecture is an FDM (Fuzzy Dashboard Matrix) that allows obtaining metrics of the contributions of the products and results of the university work in Research, innovation $(\\mathbf{R}+\\mathbf{D}+\\mathbf{i})$, Teaching, Social Projection, and Extension. The institutional evaluation of the universities constitutes a tradition of new experience in Colombia since the General Law of Education, Law 30, was promulgated consecrating the University Autonomy, but this has been carried out for decades in some countries of the ibero-american region. The regulations and complementary decrees, for the extension and consolidation of the university autonomy, is complicated by the multiplicity of educational institutions and, in another order, by those problems activated by social and economic changes (an internal war of more than half century); the latter requires new solutions and planning, and university management towards the growing need to guarantee high quality of the HE. In fact, the institutional evaluation is complicated due the highly complex process to establish the value of a system, which implies free of subjectivism, even worse with high content of objective evidence and interpretation of aggregates of elements, that interact inter and intra-system with purposes, goals, and concrete objectives with great systemic implications. To evaluate in itself is not, the final phase of an interactive system process in the academic and administrative fields but is a road map pointing a way to appreciate the execution and to conclude how random and very complicated the road to excellence is.","PeriodicalId":211092,"journal":{"name":"2019 IEEE World Conference on Engineering Education (EDUNINE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE World Conference on Engineering Education (EDUNINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDUNINE.2019.8875750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mathematical-Computational Model with Artificial Intelligence: complex architecture with Fuzzy Logic for analytical, quantitative, and qualitative Self-evaluation of Research and Innovation Products in face of multiple management determinations of research knowledge; and Architecture Fuzzy Dashboard Matrix that makes it possible to obtain metrics of university contributions. This developed model is our commitment to The National Accreditation Council of Colombia in Digital Transformation. The self-evaluation precedes the high quality in Higher Education (HE). We present some constructs supported by Artificial Intelligence: USANJOSE-AUTOEVAL-ANALYTIC. It is a complex architecture supported by Fuzzy logic for analytical, quantitative, and qualitative Self-Evaluation of Research and Innovation Products in front of different dimensions and multiple management determinations of research knowledge. The foundation of the Architecture is an FDM (Fuzzy Dashboard Matrix) that allows obtaining metrics of the contributions of the products and results of the university work in Research, innovation $(\mathbf{R}+\mathbf{D}+\mathbf{i})$, Teaching, Social Projection, and Extension. The institutional evaluation of the universities constitutes a tradition of new experience in Colombia since the General Law of Education, Law 30, was promulgated consecrating the University Autonomy, but this has been carried out for decades in some countries of the ibero-american region. The regulations and complementary decrees, for the extension and consolidation of the university autonomy, is complicated by the multiplicity of educational institutions and, in another order, by those problems activated by social and economic changes (an internal war of more than half century); the latter requires new solutions and planning, and university management towards the growing need to guarantee high quality of the HE. In fact, the institutional evaluation is complicated due the highly complex process to establish the value of a system, which implies free of subjectivism, even worse with high content of objective evidence and interpretation of aggregates of elements, that interact inter and intra-system with purposes, goals, and concrete objectives with great systemic implications. To evaluate in itself is not, the final phase of an interactive system process in the academic and administrative fields but is a road map pointing a way to appreciate the execution and to conclude how random and very complicated the road to excellence is.