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Integrating in education

  • To integrate AI in Education, teachers and trainers should follow the principles of personalisation, efficiency, accessibility, inclusiveness and the potential for improved learning outcomes.
  • ITS, ML, NLP, VR and AR are the most widely used AI technologies today.
  • Good practices include the creation of a hierarchical structure for the design of educational content and modules on AI.
  • Intelligent tutoring systems, developed as tools to help in education and training, include affective tutoring systems, a mechanism that monitors the emotional state of students and generates a response in the form of encouragement and feedback, or by changing the difficulty of the task, and game-based tutoring systems so that children learn better while having fun (Alkhatlan & Jugal Kalita, 2019).

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This project has been funded with support from the European Commission. This publication [communication] reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.