A number of internationally established researchers and educators from Malta, Norway and Greece will also talk about game-based learning, computational thinking, ethics of AI, and the didactics of AI training in primary and secondary education. Guests will also have the opportunity to try out the games that form the basis of the project and connect with the researchers.
The new generation has to develop advanced digital literacy skills, to question and critically analyse and interpret data and information, recognise misinformation spread via social media platforms, emerging cultural and social biases embedded in the architecture and design of computer systems, and the ethical and political implications.
To address these challenges, the LearnML project brings state-of-the-art innovation into schools, transfers the notion of AI literacy to primary and secondary education and aims to introduce students to the core principles of AI and ML through a uniquely designed game-based educational toolbox.
Specifically, the core objectives of the project are to design an AI and ML framework within the primary and secondary educational context, implement an innovative game-based learning toolbox that realises ML training scenarios, produce relevant and effective training, teaching and learning material for course development based on gameful ML activities, educate teachers to effectively engage students and promote creative reflection on AI ethics, data biases and societal implications, and widely involve students in ML training courses that include playful game-based learning activities so that they become AI literate but most importantly responsible citizens of Europe with regards to the ethics and threats of AI.
10:30 The Learn to Machine Learn Project – Prof. Georgios N. Yannakakis (University of Malta, MT)
10:45 The wider LearnML framework – Prof. Michalis Giannakos (Norwegian University of Science and Technology, NO)
11:45 Play time! – Guests will have an opportunity to try the games and interact with the game designers