Intelligent Tutoring System in Archaeology

Virtual Paper ID: 54875
  1. aaa
    Laia Subirats
    Eurecat - Centre Tecnològic de Catalunya
  2. aaa
    Santiago Fort
    Eurecat - Centre Tecnològic de Catalunya
  3. Cristo Hernández
    Universidad de La Laguna
  4. Leopoldo Pérez
    IPHES - Institut Català de Paleoecologia Humana i Evolució Social and Universitat Rovira i Virgili
  5. aaa
    Mikko Vesisenaho
    University of Jyväskylä
  6. aaa
    Tuula Nousiainen
    University of Jyväskylä
  7. Marika Peltonen
    University of Jyväskylä
  8. Iryna Miakush
    University of Jyväskylä
  9. G M Sacha
    Universidad Autónoma de Madrid

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 introducing characteristics of a sample, the system answers with a possible animal “Family” related to the sample. This answer can be used by archaeologists as a first clue to determine the species recovered, or by students as additional information to help them in their learning process and self-regulation learning phase.


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