This 12-hour advanced module will guide you through the fascinating world of Machine Learning (ML) and generative AI, taking your skills to the next level. Along the way, you will explore how to develop ML algorithms, analyze advanced methods, and work on practical Python codes. You will also delve into the informed use of generative AI for innovative educational applications, imagining future scenarios related to personalized learning. An immersive journey to the most cutting-edge technologies in education.
Area DigCompEdu:
Program
– Introduction to ML algorithm construction, focusing on linear regression, logistic regression, decision trees, random forest, KNN, K-means and SVM.
– Practical examples of Python codes to deepen the implementation and operation of the algorithms
– Introduction to deep learning and neural networks.
– Discussion of how to choose the correct algorithm based on the problem to be solved.
– Introduzione all’IA generativa (es. ChatGPT) e alle sue applicazioni educative per creare contenuti adattivi.
– Esplorazione dell’uso dell’IA per la produzione di contenuti didattici personalizzati per un apprendimento adattivo.
Entry level: B1 (experimenter).
Methods and Materials of the Module
This 12-hour module offers a comprehensive and interactive training experience, combining different teaching methods and materials to ensure effective and engaging learning:
Through this combination of resources and activities, participants will have the opportunity to fully explore the potential of AI in education, gaining useful and immediately applicable skills.