The ChessAIThon project (2025-1-ES01-KA220-VET-000354329) is co-funded by the European Union. The views and opinions expressed in this publication are those of the author(s) only and do not necessarily reflect those of the European Union or the Spanish Service for the Internationalisation of Education (SEPIE). Neither the European Union nor the National Agency SEPIE can be held responsible for them.
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Chess representation offers a perfect case study for high school students, demonstrating how data standards translate human strategy into computational logic.
The two foundational formats, FEN and PGN, act as universal translation layers.
FEN: The Digital Snapshot
The Forsyth-Edwards Notation (FEN) is the digital snapshot of the chessboard, a six-part coded string that tells a computer the present state without any history. Key components include the Piece Placement (where numbers encode empty squares), the Active Color (whose turn it is), and the Castling Rights. To teach this, have students practice sketching the board from a given FEN string, forcing them to visualize what each section contributes. FEN is essential because it's the minimal data required for an AI to begin calculating moves.