Card of the learning path

 
General topic of the learning path
 
Big Data, IoT and Smart Cities for sustainable development
Specific name of the learning unit
 
Smart data for smart cities: digital technologies and SDGs
Age of the target users

14-18 target
Requirements for the learner Basic digital skills (use of the cloud, data research, presentation tools).
General knowledge of the environment, energy and global citizenship.
Ability to work in a team and communicate effectively.
Curiosity about technological innovation and social impact.
Description of the learning unit This unit guides students in discovering the world of Big Data, the Internet of Things (IoT) and Smart Cities, with a strong link to the Sustainable Development Goals (SDGs). Through augmented reality tools, simulations and collaborative projects, students analyse data, design solutions for smart cities and assess the impact of emerging technologies on urban quality of life and the environment. The course is divided into three phases: Explore – Execute – Enhance, integrating immersive activities and interactive formative assessments.
Subject: Parties involved Computer Science, Technology, Civic Education, Geography, Science
Keywords Big Data, Internet of Things, Smart Cities, Cloud, digital skills, SDGs, urban sustainability, open data, digital citizenship, augmented reality, data literacy.
Key qualifications, skills and knowledge that can be acquired
  • Understanding of the data life cycle: collection, processing, visualisation.
  • Ability to analyse datasets and draw operational conclusions.
  • Basic knowledge of IoT and urban digital infrastructure.
  • Collaborative design of smart solutions based on real data.
  • Awareness of the role of technology in sustainability processes.
  • Development of transversal skills: problem solving, critical thinking, digital communication.
Resources and didactic aids used
  • AR platforms (e.g. CoSpaces Edu, Merge EDU, Assemblr, ZapWorks).
  • Public datasets (e.g. Eurostat, World Bank, regional open data).
  • Apps and simulators for visualising data flows, IoT networks, cloud infrastructures.
  • Online collaboration tools (e.g. Google Workspace, Padlet, Canva).
  • Educational videos, case studies and informative articles.
Assessment criteria and evaluation
  • Understanding of Big Data, IoT, Smart Cities and SDGs.
  • Effective use of AR platforms, cloud tools and data analysis.
  • Quality, innovation and consistency of the project developed in a group.
  • Ability to identify sustainable objectives and propose targeted technological actions.
  • Clarity of presentation, correct use of technical language and multimedia supports.
  • Quizzes and AR dashboards for progress monitoring and continuous feedback from teachers and classmates.