You are here:

Intelligent Tutoring System in Archaeology

, , Eurecat - Centre Tecnològic de Catalunya, Spain ; , Universidad de La Laguna, Spain ; , IPHES - Institut Català de Paleoecologia Humana i Evolució Social and Universitat Rovira i Virgili, Spain ; , , , , University of Jyväskylä, Finland ; , Universidad Autónoma de Madrid, Spain

EdMedia + Innovate Learning, in Amsterdam, Netherlands ISBN 978-1-939797-42-1 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC


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.


Subirats, L., Fort, S., Hernández, C., Pérez, L., Vesisenaho, M., Nousiainen, T., Peltonen, M., Miakush, I. & Sacha, G.M. (2019). Intelligent Tutoring System in Archaeology. In J. Theo Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 763-768). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved October 23, 2020 from .


Slides w/Audio View