Digital Influence in Education Context: Algorithmic Infrastructures and Informed Inferences in the Age of Hypermediality

Abstract

The intensification of digital influence processes in contemporary educational environments has required a new theoretical vision capable of generating comprehensive explanations of how current algorithmic infrastructures and socio-technological environments contribute to the formation, stabilization, and transformation of individual beliefs. The ever-increasing integration of hypermedia personalization systems, datafication mechanisms, and automation devices creates a cognitive ecosystem in which individuals' inferential processes are profoundly modulated by algorithmic agents (Kitchin, 2021).

In light of predictive processing models (Clark, 2025), human cognition has been interpreted in terms of a hierarchical system of generations of possible predictions and error minimizations. In personalized digital environments, algorithmic stimulus selection can reduce information variability by strengthening existing priors, influencing bilief updating processes, and amplifying cognitive biases such as confirmation bias, availability heuristics, and motivated reasoning (Kahneman, 2011). Adaptive personalization functions as a cognitive accommodation apparatus that stabilizes preexisting generative models, reducing exposure to epistemic dissonance.

The distributed cognition perspective (Hollan, Hutchins, & Kirsh, 2000) highlights how human cognition is distributed across socio-technological networks consisting of human agents, digital artifacts, and algorithmic infrastructures. Digital platforms act as systems for modulating cognitive salience, orienting attention, filtering available evidence, and generating inferential paths that impact the reality we understand. This results in conscious learning systems characterized by epistemic asymmetries, reduced cognitive complexity, and a polarized metacognitive thinking.

This paper seeks to analyze how skills related to critical algorithmic literacy lead to a rethinking of knowledge construction systems, potentially transforming them into autonomous areas of inferential nature. Mitigating the distorting effects of digital influence leads to the creation of actions aimed at a concrete awareness of algorithmic mediation processes, thanks to the strengthening of skills and processes of metacognitive and reflective knowledge processing and the design of educational environments resilient to the dynamics of emotional amplification (Floridi, 2026).