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 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
- Advanced Design of e-Learning Applications Personalizing Teaching to Improve Virtual Education
- Vesisenaho, Mikko
- European Commission
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 1