Share Paper: Intelligent Tutoring System in Archaeology

  1. Laia Subirats, Eurecat - Centre Tecnològic de Catalunya, Spain
  2. Santiago Fort, Eurecat - Centre Tecnològic de Catalunya, Spain
  3. Cristo Hernández, Universidad de La Laguna, Spain
  4. Leopoldo Pérez, IPHES - Institut Català de Paleoecologia Humana i Evolució Social and Universitat Rovira i Virgili, Spain
  5. Mikko Vesisenaho, University of Jyväskylä, Finland
  6. Tuula Nousiainen, University of Jyväskylä, Finland
  7. Marika Peltonen, University of Jyväskylä, Finland
  8. Iryna Miakush, University of Jyväskylä, Finland
  9. G M Sacha, Universidad Autónoma de Madrid, Spain

Abstract: A method that uses artificial intelligence for the taxonomical characterization of bone remains in archaeological sites is shown. The main goal of this method is to help students and archaeologists in the classification of samples in order to improve the efficiency of their tasks during the campaigns at archaeological sites. The development of the system implies several steps: training of classification algorithms, development of a user-friendly interface and implementation of gamification techniques to improve learning motivation and the efficiency of the system in the learning process. This system will help archaeology students to classify new samples. In this prototype, by ...