A4 Article in conference proceedings
Intelligent Tutoring System in Archaeology (2019)

Subirats, L., Fort, S., Hernández, C., L., V., Nousiainen, T., Peltonen, M., Miakush, I., & Sacha, G.M. (2019). Intelligent Tutoring System in Archaeology. In T. Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning 2019. Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/210074/

JYU authors or editors

Publication details

All authors or editorsSubirats, L.; Fort, S.; Hernández, C., Pérez; L., Vesisenaho, M.; Nousiainen, T.; Peltonen, M.; Miakush, I.; Sacha, G.M.

Parent publicationProceedings of EdMedia + Innovate Learning 2019

Parent publication editorsBastiaens, Theo


  • EdMedia + Innovate Learning

Place and date of conferenceAmsterdam, The Netherlands24-29.6.2019


Publication year2019

PublisherAssociation for the Advancement of Computing in Education (AACE)

Place of PublicationWaynesville

Publication countryUnited States

Publication languageEnglish

Persistent website addresshttps://www.learntechlib.org/primary/p/210074/

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/66387


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.

Keywordsartificial intelligencealgorithmsarchaeologyprehistoric remains

Free keywordstutoring systems; archaeology; artificial intelligence; algorithms; classification algorithms

Contributing organizations

Related projects

Ministry reportingYes

Reporting Year2019

JUFO rating1

Last updated on 2024-11-05 at 21:47