Transformation of University Educational Practices through AI: Proposal for Rhizomatic Guidelines for institutions in Tunja, Colombia

Main Article Content

Yenny Lisbeth Castro Rojas

Keywords

Artificial intelligence, Higher education, Educational innovation, Information networks, Pedagogical methods

Abstract

This research aimed to develop operational guidelines to foster rhizomatic learning and knowledge network creation in higher education in Tunja, with artificial intelligence as an epistemic catalyst. Constructivist and sociocritical paradigms were adopted with a qualitative projective approach and cross-sectional phenomenological-hermeneutic design. Data collection integrated documentary analysis of 37 articles on AI in Scopus, questionnaires administered to 43 students, a focus group with 7 participants, and semi-structured interviews with 21 faculty members from three universities in Tunja. Methodological triangulation revealed tensions between academically documented transformative potential and the persistence of basic instrumental practices; students engage in diverse pedagogical nomadism without institutional guidance, while faculty identify urgent training needs but face an absence of systematic support. The proposed guidelines articulate four interdependent dimensions: institutional-organizational, pedagogicaldidactic, student-participatory, and territorialcontextual, with phased implementation in three stages. The conclusion establishes that deep transformations require systemic intervention at different levels that transcends technological solutions to address cultural, organizational, and pedagogical dimensions, while recognizing that informal rhizomatic processes already exist but remain invisible due to rigid institutional structures.

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