This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In first phase, university profiles are created through cluster analysis. second these is evaluated Data Envelopment Analysis. Finally, machine learning model trained validated categories efficiency. The study population corresponds 256 programs in Colombia data correspond national ...

This study proposes an innovative two-sta-ge approach, using Data Envelopment Analysis and Biplot, to evaluate the techni-cal efficiency of 30 academic departments a Chilean university, identify main factors affecting their performan-ces. Public higher education worldwide is under growing pressure increase improve quality edu-cation with limited governmental funds given state-owned universities...

introduction: self-directed learning is originated from adult education which has currently gained a special place in educational systems and is influenced by many variables such as teaching self-efficacy and self-directed learning. this research investigated the relationship of teachers’ teaching with academic self-efficacy and self-directed learning from english language students' perspective...

Abstract The Sustainable Development Goals are part of the 2030 Agenda and seventh goal is dedicated to affordable clean energy, aiming ensure access affordable, reliable, sustainable modern energy for all. Energy efficiency an important component this associated with reducing consumption its costs increasing source production. Some authors have been discussing relation between theory practice ...

Nonlinear elliptic partial differential equations form a class of equations that is widespread in modelling various nonlinear phenomena in science, hence their numerical solution has continuously been a subject of extensive research. Such problems also arise from timedependent nonlinear PDE problems, either on the time levels after the time discretization or as describing steady-states of the p...

In this paper, a novel approach using an efficient multi-objective genetic algorithm EMOGA is proposed to solve the problems of production planning of flexible manufacturing systems (FMSs) having four objectives: minimizing total flow time, machine workload unbalance, greatest machine workload and total tool cost. EMOGA makes use of Pareto dominance relationship to solve the problems without us...