Intelligent Tutoring System in Archaeology
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/
Fort, S. |
© 2019 Association for the Advancement of Computing in Education (AACE)
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. ...
PublisherAssociation for the Advancement of Computing in Education (AACE)
Parent publication ISBN978-1-939797-42-1
ConferenceEdMedia + Innovate Learning
Is part of publicationProceedings of EdMedia + Innovate Learning 2019
Publication in research information system
MetadataShow full item record
Related funder(s)European Commission
Funding program(s)Strategic partnerships, E+
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
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