Knowledge organization, networks and visual complexity: resources for the development of inter-transdisciplinary dynamics in university contexts

Abstract

This paper presents the general theoretical and methodological basis for designing an adaptive social observation system aimed at fostering inter/transdisciplinary learning processes in university students. The system is oriented to observe and interpret systemic and intersectional phenomena through the generation of diverse contexts of meaning.

Intending to contribute to the dynamization of integrative learning processes among diverse disciplinary fields, the system allows us to visualize macro-thematic domains and conceptual categories that operate as organizing principles for the generation of undergraduate and graduate training schemes with more significant inter and

transdisciplinary links.

Finally, we will postulate a research perspective oriented to scenarios of deployment of complex dynamics of knowledge organization in diverse disciplinary/professional domains, incorporating resources of visual complexity and network analysis.