This study offers an in-depth understanding of how schedule performance of PHP are dynamically influenced by interrelationships and interactions underlying various schedule risk variables.
Another important aspect is to assert that the interrelationships and interactions with all the organisms, external influences as well as the infrastructures of the learning ecosystem are in principle dynamic (Fig. 3).
To fill the research gaps, a hybrid dynamic model is developed in this research to evaluate and simulate the impact of identified schedule risks on the schedule performance of PHP in view of underlying interrelationships and interactions, employing the hybrid system dynamics (SD) and discrete event simulation (DES) method.
Systems thinking is, foremost, a mindset that views systems and their sub-components as intimately interrelated and connected to each other, believing that mastering our understanding of how things work lies in interpreting interrelationships and interactions within and between systems [ 1, 3, 4].
Computational design of knowledge deploys these key objects, their interrelationships, and their interactions that can be stored, processed, and altered by knowledge machines (KMs).
However, the focus was mostly on a single anthropogenic variable, e.g. logging or fire, and interrelationships between or interaction effects amongst variables were not investigated.
This information will encourage scientists to study the interrelationship between hydrophobic interactions and hydrogen bonding when developing new drugs.
Fig. 1 Different types of interrelationships (interaction) in digital and physical learning spaces (adapted from, Anderson, 2003).
They will take into account known research, early pioneering approaches, very complex interrelationships and much more.
The chronological interrelationships and major biological themes identified herein may be the same, however.
