Plenary: Digitalization of Self-Evaluation Model for the Colombian Accreditation System

Jesus Alfonso Perez Gama
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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.
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全体会议:哥伦比亚认证系统自我评估模型的数字化
基于人工智能的数学计算模型:面向科研知识多重管理决策的科研创新产品分析、定量、定性自评价的模糊复杂体系结构以及架构模糊仪表板矩阵,这使得获得大学贡献的度量成为可能。这一发展模式是我们对哥伦比亚国家认证委员会在数字化转型方面的承诺。在高等教育中,自我评价先于质量。我们提出了一些人工智能支持的结构:USANJOSE-AUTOEVAL-ANALYTIC。它是一个以模糊逻辑为支撑的复杂架构,在科研知识的不同维度和多重管理决策面前,对科研创新产品进行分析、定量和定性的自我评价。该架构的基础是一个FDM(模糊仪表板矩阵),它允许在研究、创新$(\mathbf{R}+\mathbf{D}+\mathbf{i})$、教学、社会投影和扩展方面获得大学工作的产品和结果的贡献指标。自从颁布了《教育通法》,即第30号法,使大学自治神圣化以来,对大学的体制评价是哥伦比亚的一种新经验,但这种做法在伊比利亚-美洲区域的一些国家已经进行了几十年。为了扩大和巩固大学自治而制定的规章和补充性法令,由于教育机构的多样性以及社会和经济变化(半个多世纪的内部战争)所引发的问题而变得复杂;后者需要新的解决方案和规划,以及大学管理对保证高质量高等教育的日益增长的需求。事实上,制度评价是复杂的,因为建立一个制度的价值的过程是高度复杂的,这意味着没有主观主义,更糟糕的是需要大量的客观证据和对要素集合的解释,这些要素在系统之间和系统内部相互作用,目的、目标和具体目标具有很大的系统含义。评估本身并不是学术和行政领域互动系统过程的最后阶段,而是一个路线图,指出了欣赏执行的方式,并得出结论,通往卓越的道路是多么随机和非常复杂。
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