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. (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 editors: Subirats, L.; Fort, S.; Hernández, C., Pérez; L., Vesisenaho, M.; Nousiainen, T.; Peltonen, M.; Miakush, I.; Sacha, G.M.

Parent publication: Proceedings of EdMedia + Innovate Learning 2019

Parent publication editors: Bastiaens, Theo

Conference:

  • EdMedia + Innovate Learning

Place and date of conference: Amsterdam, The Netherlands, 24-29.6.2019

ISBN: 978-1-939797-42-1

Publication year: 2019

Publisher: Association for the Advancement of Computing in Education (AACE)

Place of Publication: Waynesville

Publication country: United States

Publication language: English

Persistent website address: https://www.learntechlib.org/primary/p/210074/

Publication open access: Not open

Publication channel open access:

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


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.


Keywords: artificial intelligence; algorithms; archaeology; prehistoric remains

Free keywords: tutoring systems; archaeology; artificial intelligence; algorithms; classification algorithms


Contributing organizations


Related projects


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1


Last updated on 2021-09-06 at 15:04