Using the Educative Knowledge Process Model in a Statistic and Probability Course for Engineers

R. Llamosa-Villalba, A. Llamosa Ardila, A. Guerrero Alarcón, J. Gómez Gutiérrez, L. Pinilla, S. Castellanos Gálvis, L. Castellanos, and V.H. Sanchez (Colombia)


Organizational Modelling, Higher Education Quality, Digital Material, Knowledge and Software Engineering.


This paper presents a quality insurance study about the Statistic and Probability Course for Engineers (SPCE) that the Innovation and Development Center for Software Engineering Research (CIDLIS) is doing at the Electrical, Electronic and Telecommunication Engineering School (E3 T) of Industrial University of Santander (UIS) in Colombia. The experience is supported in the Quality Management System of Higher Education Courses (QMS HEC) and the Educational Knowledge Process Model (EKPM) [5]. In this paper, a course is an organizational entity (knowledge enterprise) with a life cycle supported in directional, primary and support processes. The life cycle covers the organizational and processes modelling (organizational structure), engineering processes (system and software design; and, curricular, pedagogy, standards and test design), production (software development; activities, tasks and practices development; mediation; virtual environment integration; and, verification and validation), Operation (operative proves, programming, execution, monitoring and closing), and, Maintain (Processes, services, products and technology quality improvement management). Under the principle: "Everything written is doing and everything doing is written" this paper evidences the SPCE quality insurance meaning through the statistical results from the inputs, resources behaviour and products, pursuit in the life cycle processes (resources, students, and produced works profiles evidences, stored in the course historical briefcase).

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