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http://hdl.handle.net/10609/123146
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DC Field | Value | Language |
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dc.contributor.author | Subirats, Laia | - |
dc.contributor.author | Pérez, Leopoldo | - |
dc.contributor.author | Hernández, Cristo | - |
dc.contributor.author | Fort, Santi | - |
dc.contributor.author | Gómez Moñivas, Sacha | - |
dc.contributor.other | Universitat Rovira i Virgili (URV) | - |
dc.contributor.other | Universidad de La Laguna | - |
dc.contributor.other | Universidad Autónoma de Madrid | - |
dc.contributor.other | Eurecat, Centre Tecnològic de Catalunya | - |
dc.contributor.other | Universitat Oberta de Catalunya (UOC) | - |
dc.date.accessioned | 2020-09-30T07:44:57Z | - |
dc.date.available | 2020-09-30T07:44:57Z | - |
dc.date.issued | 2019-11-18 | - |
dc.identifier.citation | Subirats, L., Pérez, L., Hernández, C., Fort, S. & Gomez-Moñivas, S. (2019). A granularity-based intelligent tutoring system for zooarchaeology. Applied Sciences, 9(22), 1-17. doi: 10.3390/app9224960 | - |
dc.identifier.issn | 2076-3417MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/123146 | - |
dc.description.abstract | This paper presents a tutoring system which uses three different granularities for helping students to classify animals from bone fragments in zooarchaeology. The 3406 bone remains, which have 64 attributes, were obtained from the excavation of the Middle Palaeolithic site of El Salt (Alicante, Spain). The coarse granularity performs a five-class prediction, the medium a twelve-class prediction, and the fine a fifteen-class prediction. In the coarse granularity, the results show that the first 10 most relevant attributes for classification are width, bone, thickness, length, bone fragment, anatomical group, long bone circumference, X, Y, and Z. Based on those results, a user-friendly interface of the tutor has been built in order to train archaeology students to classify new remains using the coarse granularity. A pilot has been performed in the 2019 excavation season in Abric del Pastor (Alicante, Spain), where the automatic tutoring system was used by students to classify 51 new remains. The pilot experience demonstrated the usefulness of the tutoring system both for students when facing their first classification activities and also for seniors since the tutoring system gives them valuable clues for helping in difficult classification problems. | en |
dc.language.iso | eng | - |
dc.publisher | Applied Sciences | - |
dc.relation.ispartof | Applied Sciences, 2019, 9(22) | - |
dc.relation.uri | https://doi.org/10.3390/app9224960 | - |
dc.rights | CC BY | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | - |
dc.subject | supervised learning | en |
dc.subject | zooarchaeology | en |
dc.subject | intelligent tutoring system | en |
dc.subject | aprendizaje supervisado | es |
dc.subject | aprenentatge supervisat | ca |
dc.subject | zooarqueología | es |
dc.subject | zooarqueologia | ca |
dc.subject | sistema de tutoria intel·ligent | ca |
dc.subject | sistema de tutoría inteligente | es |
dc.subject.lcsh | Animals -- Classification | en |
dc.title | A granularity-based intelligent tutoring system for zooarchaeology | - |
dc.type | info:eu-repo/semantics/article | - |
dc.subject.lemac | Animals -- Classificació | ca |
dc.subject.lcshes | Animales -- Clasificación | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | 10.3390/app9224960 | - |
dc.gir.id | AR/0000007509 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/2017-1-ES01-KA203-038266 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/TIN2015-72682-EXP | - |
dc.type.version | info:eu-repo/semantics/publishedVersion | - |
Appears in Collections: | Articles cientÍfics Articles |
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File | Description | Size | Format | |
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Subirats_applsci_Granularity_based.pdf | 8,74 MB | Adobe PDF | View/Open |
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