Norra's Escape
Herausforderung:
Schreiben ist eine grundlegende Fähigkeit, die kognitive und motorische Kompetenzen vereint. Allerdings haben viele Lernende Schwierigkeiten, bei der Übung von Rechtschreibung und Handschrift motiviert zu bleiben, da traditionelle Übungen oft repetitiv und uninspirierend sind. Durch die Kombination von KI-gestütztem Storytelling, Gamification und physischem Schreiben mit dem STABILO LUNIS-Stift erforscht dieses Projekt einen neuartigen Ansatz, um das Schreibtraining engagiert, kreativ und sinnvoll zu gestalten.
Ziel dieser Semesterherausforderung war es, zu erforschen, wie der STABILO LUNIS-Stift, Gamification und KI Schreibübungen für Kinder im Alter von 8-15 in ein fesselndes Erlebnis verwandeln können.
Datum: Sommersemester 2026
Vorlesung: Designing Gamified Systems
Partner: STABILO International GmbH
Projektergebnisse:
Norra's Escape
Team: Akhila Pavithran, Malavika Sindhupriya
Zusammenfassung:
Norra's Escape is an educational escape-room adventure game, created to make handwriting practice fun and enjoyable for children aged 8–10 years. Traditional handwriting exercises are often repetitive and difficult to sustain to keep children’s interest and motivation. Norra's Escape tackles this challenge by combining gamification with artificial intelligence and digital handwriting recognition to turn traditional writing exercises into an immersive story-based learning experience. Children write on paper with a STABILO digital pen instead of typing or touching a touchscreen and the STABILO Kathy Handwriting Recognition SDK captures and recognizes their handwriting in real time. This allows real pen-and-paper writing to be incorporated into gameplay, while still providing the educational benefits of traditional handwriting practice. The game follows the journey of Norra, a curious fox who gets trapped inside a school at night and needs to find her way home before sunrise. Norra accompanies the player during the adventure, offering words of encouragement, hints and helps in story progression. Her dialogue is produced dynamically with the Groq Llama 3.3 large language model, and delivered through Android text-to-speech, enabling adaptive, natural, and non-repetitive interactions which foster engagement and immersion. Norra's Escape offers five themed escape rooms, each designed to test different literacy and cognitive skills. In The Dark Classroom children restore color to hidden books by writing the name of the right color. The Memory Room improves memory and vocabulary by requiring players to remember and write down the names of animals that are shown briefly. The Science Lab introduces simple science concepts in one-word riddles, answered with handwriting. In Dancing Books Norra collects letters that have fallen apart and the players find and write the whole word. Finally, The Way Out challenges players to guide Norra safely to the exit and complete the adventure. The game uses kid-friendly mechanics to help keep players motivated in order to avoid frustration: a lives system, second-chance timers, pen-shake gestures for contextual hints, interactive door-breaking actions, and continuous AI- driven feedback are all important aspects of the game. Feedback is designed to celebrate progress and gently guide players, with no direct answers given. When a child finishes a story, they are given a personalized illustrated story made from the words they spelled correctly, a meaningful reward that reinforces learning.
Technically, Norra's Escape is developed in Unity using C# for the Android platform, integrating the STABILO Kathy SDK for pen connectivity, stroke capture, gesture recognition, and handwriting recognition alongside cloud-based AI narration and on- device text-to-speech synthesis. Norra's Escape turns the mundane activity of practicing handwriting into an enjoyable, stimulating and purposeful educational experience that supports the development of literacy skills while inspiring confidence, curiosity and perseverance among young learners.
Weitere Informationen, Quellcode und Dokumentation:
github.com/akhila-tech12/NorraEscapeF