Artificial Intelligence Engineering for Postsecondary Education Digital Transformation

Jesus Alfonso Perez-Gama
IEEE Life Senior – Education Society Colombia Chapter Chair IASA, IAOE, IIOA, NY Academy Sciences, INCOSE, ACIS, ACCIO

Luis Giovanni Rozo-Pardo
Psychologist, National University of Colombia, Edumatics Specialist, and Database Management Technology Specialist; Researcher-teacher, San José Higher Education Foundation and co-director of the San José EIDOS International Research Group

Luis Carlos Gutiérrez-Martínez
Honorary Doctorate in Education, University of Cundinamarca, Colombia; MSs. in Innovation; Systems Engineer

Series: Computer Science, Technology and Applications
BISAC: COM059000

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Volume 10

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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We present conceptual foundations for artificial intelligence, expert systems, and knowledge engineering and management and discuss high quality in education. Following, we discuss the basics of our vision and prospective about higher education (HE): the battle for the future with digital transformation (DT). Next, we present our central Chapter 4 on DT: our dual model of knowledge and data, as befits a HE institution. Below, we present a succinct outline of our architectural model.

The pillars of the architecture are funding, research, entrepreneurship and social projection (Chapter 8); recognizing from the start that knowledge has its ethos in the university; these pillars correspond to:
• Productive ecosystem of the DT
• DT that enhances knowledge and innovation in the universities for the habilitation of the digital capabilities
• A new economy that requires the U transformation as social projection.
• New DT human talent required by the new knowledge and intelligence industry. The student hyper-personalization by competences and skills is required.

Ten Views of Our DT Model, given its complex process that takes place in long ways, a process required for the successful survival of an organization into the IV Industrial Revolution, with the final purpose of being very competitive, productive and of high quality (HQ).
The DT views, namely:
1- The DT Ecosystem.
2- The structural vision or the pillars of the DT mentioned.
3- The DT strategic map, showing scenarios, actors and vision-mission.
4- The architectural components for DT: 8 architectures were developed and implemented, applying some intelligent constructs that we have developed and documented in the last 10 years at FESSANJOSE (U. San José), leading DT in postsecondary education (PSEd).
5- Digital 360° architecture of DT Academy and Administration LOCUS: this architecture is the digital portfolio that implies the organization of the subsystems to obtain better and/or new functionalities based on knowledge to obtain an intelligent behavior. The DT multilayer-architecture approach is a system of systems (SoS) one, which ensures compliance with government policies, norms and standards, in a highly complex social institution with digital assets; this approach describes the subsystems at a higher level, where a system is composed, and with the protocols by which the subsystems communicate. It provides a 360° business vision map and a planning framework for commercial and technological changes.
6- The computational-mathematical perspective of DT, identifying endogenous and exogenous variables and their interrelations.
7- The synthesis, the Matrix of End-Means (EMM) that summarizes in DT: Where the HE is. In addition, where can the HE go?
8- The MIR Matrix, which describes DT Objectives, impacts-indicators and results.
9- The dynamic model of the DT system, based on computational intelligence, representing the system information control of all the components to achieve the completion of the DT.

The intelligent management information system (iMIS) for PSEd, shows the dynamics of DT, integrating several multilevel system hybrid architectures, as a space to respond to the solution of the HE problems, tending to the desired competitiveness, specifically pointing out the way that these modern technologies can be included for their adaptation and evolution in PSEd in post-modernity, making governability, and teaching and student productivity compatible with educational high quality, the purpose of DT. The interface Results of the iMIS includes: high quality metrics, digitization rate progress, indicators (an special appendix on KPI were included) and values of management, desertion, answers, and plans. The Input Interface includes data, information and knowledge acquisition, where the attributes, parameters.
(Imprint: Nova)

List of Figures

List of Tables

Foreword A 
(Francisco Alfonso Pareja González)

Foreword B
(Manuel Martínez Niño)

Introduction: Digital Transformation Inside Universities

Chapter 1. Basic and Conceptual Aspects for Digital Transformation
                                                                             
Chapter 2. The Battle for the Future

Chapter 3. Postsecondary Education Digital Transformation

Chapter 4. Portfolio Analytics

Chapter 5. Self-Evaluation and High Quality Education Analytics

Chapter 6. Intelligent Architecture of Position Audit of Digital Transformation USANJOSE-Arch-Level-DT

Chapter 7. Digitalization of the Social Projection and Relationship with the External Sector

Chapter 8. Conclusion

Chapter 9. Appendix

References

About the Authors

Index

University Administrators, Deans, Officers and Staff
Digital Transformation Architects & DT CIOs
Organizational Digital Engineers
HE Propaedeutic Cycles Administrators, Deans, Officers and Staff

University Digital Transformation, Student Productivity, Higher Education Competitiveness, Technical & Technology Education Competitiveness, University Social Projection

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