Card of the learning path

 
General topic of the learning path
 
The Vision Mechanism: From Light to the Brain
Specific name of the learning unit
 
Biology of vision and optics; signal transduction; from the eyeball to the visual cortex
Age of the target users

14-19 target
Requirements for the learner

Basic knowledge of biology (anatomy of the eye, nervous tissues), physics (geometric optics: reflection, refraction, focusing), and introductory elements of electrophysiology.
Description of the learning unit

The unit guides students and teachers through a multidisciplinary pathway that integrates biology and physics to understand how light reflected from objects is focused on the retina, transduced by photoreceptors (cones and rods) into electrical signals, and transmitted along the optic nerve to the cortical areas responsible for vision.

The use of digital and AR tools is intended to make otherwise invisible processes visible (activation of photopigments, routing of neural signals), clearly and progressively linking anatomical structures with physical principles
Subject: Parties involved Biology, Neuroscience, Physics (Optics), Technology (visualization/AR)
Keywords Vision; Retina; Cones and rods; Signal transduction; Optic nerve; Refraction; Focusing; Visual cortex; AR; Scene-based learning
Key qualifications, skills and knowledge that can be acquired
  • Reasoning & problem solving on integrated biophysical processes
  • Design thinking applied to sequential and visual representations (scenes)
  • Practical knowledge: geometric optics, ocular anatomy, visual pathways
  • Digital/AR skills: 3D visualization, informative overlays, scene navigation
Resources and didactic aids used AR platforms (e.g., Delightex Studio – Spaces, Marker), reliable web resources and educational videos, scientific articles and databases; 3D models (eye, retina/photoreceptors, optic nerve) and textual overlays for key data.
Assessment criteria and evaluation Evaluation of knowledge (optic-biological-neural sequence), skills (cause-effect relationships between optical phenomena and biological responses), and competences (conscious use of AR tools, interdisciplinary integration).