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.

Citation

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 December 13, 2019 from https://www.learntechlib.org/primary/p/210074/.

© 2019 Association for the Advancement of Computing in Education (AACE)