I am modeling how social interactions could affect secondary students’ likelihood to attend higher education, in particular throughout variables such as knowledge of the higher education system, willingness to go to higher education-engagement, and academic knowledge.
In the model I’m firstly working with the knowledge of the higher education system and how this knowledge it is transferred between students. I’m also adding the role of parents and teachers (not yet done) in this process.
The outcomes I’m looking in the model are the distribution of knowledge of the higher education system, those who are able to trespass a threshold, and the rate of the knowledge of the 10% of the students with highest knowledge and the 10% of students with lowest knowledge.
I assumed the transference as a weighted average (still to check) of the personal knowledge and other agents’ knowledge. I realized this process depend a lot of the initial distribution of knowledge and the initial distribution of friendship.
In the model I included possibilities to change:
– Number of students
– Initial distribution of knowledge
– Number of friends (N-links)
– Stratification, which I understand as the possibility to make friends with other students with similar/different amounts of knowledge in HE.
– A rate of transference of the knowledge
– The possibility to do just random interactions
– The action of parents as an accelerator or barrier to the knowledge transference
I’m still trying to define the optimal number of ticks. If I let the model run I end up in most of the cases with an average distribution of knowledge. Interestingly some particular configurations could lead to a polarization of the knowledge that is an increase of the stratification. It seems important here to understand better the final rate of transference of knowledge and how this rate could be increased.
I think this model could be useful to better understand possible policies.