Intelligent Educational Dual Architecture for University Digital Transformation

Abstract

Digital Transformation Inside Universities, a dual approach: On the way to the IV Industry Revolution companies of all kinds, are focused on the massive and optimal use of ICT in different organizational plans including human talent, organizational structures, processes, inputs, products, services and obviously the business model. Nowadays, 70% of the top companies have robust digital transformation (DT) teams, and 40% of them are being driven by high ICT and Artificial and Computational Intelligence. In other hand, very few Colombian universities have tackled the problem of competitiveness in higher education (HE), much less they have made the transition to the IV Industrial Revolution by taking the leap, thus receiving a tremendous blow due to academic obsolescence. In the recent ANDICOM (ICT International Congress, numerous national cases of domestic DT were presented from companies, but, unfortunately, not a single case of HE. Will the case of computerization in Colombia, be replicated, which was left to the discretion of transnational computer elites? The University DT implies necessarily the cognimatics (the informatics for the Knowledge Society) of all the companies, and their social insertion in this country. Why University Architecture: Enterprise Architecture (EA): Architecting implies the organization of subsystems or components to obtain better and/or new functionalities. If any component is knowledge-based, an intelligent behavior is obtained. The architecture-multilayer approach is a system of systems (SoS) one, that ensures compliance with government policies, rules and standards, in a highly complex social institution with intellectual assets and knowledge processes, which is a usual situation in a university institution; this approach describes the subsystems at a higher level, where a system is made-up, and with the protocols by which they communicate. EA and Business Architecture constitute a conceptual tool that helps the organizations to understand their own structure and the approach by which they work. It provides a business 360° vision map, and planning frame for business and technological changes. EA is presented like a system overall configuration of subsystems or components organized in layers, where each one describes an ordered congregation of structures and common functionalities grouped by a purposeful criterion inside the business. Our Proposal: We present a succinct outline of our architectural dual model (data-knowledge), of the digital university transformation. It is a dual DT model: curricular digitalization and institutional digitalization, i.e. knowledge and data. The pillars of the architecture are Funding, Research, Entrepreneurship and Social Projection, recognizing from the start, that Knowledge has its ethos in the University; they correspond to: 1-Productive Ecosystem of the transformation. 2-DT that enhance the knowledge and innovation in the universities for the habilitation of the digital capacities. 3-A new economy that requires transformation, also supported on entrepreneurship. 4-New DT human talent required by the new industry of knowledge and intelligence. The student hyper-personalization by competences and skills is required. We discuss the basic, conceptual aspects, and methodology for the DT, applying some intelligent constructs that we have developed and documented in the last 10 years leading the DT in Postsecondary Education (PSEd)