We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in-domain scenario both for Italian and English. Additionally, we performed experiments based on a incremental training strategy to study the impact of the training set size on the classifier performances. The paper also introduces ITA-PREREQ, to the best of our knowledge the first Italian dataset annotated with prerequisite relations between pairs of educational concepts, and describe the automatic strategy devised to build it.
Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian
Miaschi Alessio;Alzetta Chiara;Cardillo Franco Alberto;Dell'Orletta Felice
2019
Abstract
We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in-domain scenario both for Italian and English. Additionally, we performed experiments based on a incremental training strategy to study the impact of the training set size on the classifier performances. The paper also introduces ITA-PREREQ, to the best of our knowledge the first Italian dataset annotated with prerequisite relations between pairs of educational concepts, and describe the automatic strategy devised to build it.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Miaschi Alessio | en |
| dc.authority.people | Alzetta Chiara | en |
| dc.authority.people | Cardillo Franco Alberto | en |
| dc.authority.people | Dell'Orletta Felice | en |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/20 03:04:52 | - |
| dc.date.available | 2024/02/20 03:04:52 | - |
| dc.date.firstsubmission | 2024/08/27 15:37:31 | * |
| dc.date.issued | 2019 | - |
| dc.date.submission | 2024/08/27 15:37:31 | * |
| dc.description.abstracteng | We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in-domain scenario both for Italian and English. Additionally, we performed experiments based on a incremental training strategy to study the impact of the training set size on the classifier performances. The paper also introduces ITA-PREREQ, to the best of our knowledge the first Italian dataset annotated with prerequisite relations between pairs of educational concepts, and describe the automatic strategy devised to build it. | - |
| dc.description.affiliations | Dipartimento di Informatica, Università di Pisa; Università di Genova; Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC), CNR, Pisa | - |
| dc.description.allpeople | Miaschi, Alessio; Alzetta, Chiara; Cardillo, FRANCO ALBERTO; Dell'Orletta, Felice | - |
| dc.description.allpeopleoriginal | Miaschi, Alessio; Alzetta, Chiara; Cardillo, Franco Alberto; Dell'Orletta, Felice | en |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 4 | - |
| dc.identifier.isi | WOS:000521943400030 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/390439 | - |
| dc.language.iso | eng | en |
| dc.miur.last.status.update | 2024-12-20T09:06:32Z | * |
| dc.relation.conferencedate | 1/08/2019 | en |
| dc.relation.conferencename | 14th Workshop on Innovative Use of NLP for Building Educational Applications | en |
| dc.relation.conferenceplace | Firenze | en |
| dc.relation.firstpage | 285 | en |
| dc.relation.ispartofbook | Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications | en |
| dc.relation.lastpage | 295 | en |
| dc.relation.numberofpages | 11 | en |
| dc.subject.keywords | Concept Prerequisites Learning | - |
| dc.subject.singlekeyword | Concept Prerequisites Learning | * |
| dc.title | Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| dc.ugov.descaux1 | 434855 | - |
| iris.isi.extIssued | 2019 | - |
| iris.isi.extTitle | Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian | - |
| iris.isi.metadataErrorDescription | 0 | - |
| iris.isi.metadataErrorType | ERROR_NO_MATCH | - |
| iris.isi.metadataStatus | ERROR | - |
| iris.orcid.lastModifiedDate | 2025/04/06 02:02:44 | * |
| iris.orcid.lastModifiedMillisecond | 1743897764588 | * |
| iris.scopus.extIssued | 2019 | - |
| iris.scopus.extTitle | Linguistically-driven strategy for concept prerequisites learning on italian | - |
| iris.sitodocente.maxattempts | 1 | - |
| isi.authority.sdg | Goal 4: Quality education###12084 | * |
| isi.category | OT | * |
| isi.contributor.affiliation | University of Pisa | - |
| isi.contributor.affiliation | University of Genoa | - |
| isi.contributor.affiliation | Consiglio Nazionale delle Ricerche (CNR) | - |
| isi.contributor.affiliation | Consiglio Nazionale delle Ricerche (CNR) | - |
| isi.contributor.country | Italy | - |
| isi.contributor.country | Italy | - |
| isi.contributor.country | Italy | - |
| isi.contributor.country | Italy | - |
| isi.contributor.name | Alessio | - |
| isi.contributor.name | Chiara | - |
| isi.contributor.name | Franco Alberto | - |
| isi.contributor.name | Felice | - |
| isi.contributor.researcherId | GCD-5321-2022 | - |
| isi.contributor.researcherId | KVX-9760-2024 | - |
| isi.contributor.researcherId | AAP-5764-2021 | - |
| isi.contributor.researcherId | AAX-1864-2020 | - |
| isi.contributor.subaffiliation | Dipartimento Informat | - |
| isi.contributor.subaffiliation | DIBRIS | - |
| isi.contributor.subaffiliation | - | |
| isi.contributor.subaffiliation | - | |
| isi.contributor.surname | Miaschi | - |
| isi.contributor.surname | Alzetta | - |
| isi.contributor.surname | Cardillo | - |
| isi.contributor.surname | Dell'Orletta | - |
| isi.date.issued | 2019 | * |
| isi.description.abstracteng | We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in-domain scenario both for Italian and English. Additionally, we performed experiments based on a incremental training strategy to study the impact of the training set size on the classifier performances. The paper also introduces ITA-PREREQ, to the best of our knowledge the first Italian dataset annotated with prerequisite relations between pairs of educational concepts, and describe the automatic strategy devised to build it. | * |
| isi.description.allpeopleoriginal | Miaschi, A; Alzetta, C; Cardillo, FA; Dell'Orletta, F; | * |
| isi.document.sourcetype | WOS.ISSHP | * |
| isi.document.type | Proceedings Paper | * |
| isi.document.types | Proceedings Paper | * |
| isi.identifier.isi | WOS:000521943400030 | * |
| isi.journal.journaltitle | INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS | * |
| isi.language.original | English | * |
| isi.publisher.place | 209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA | * |
| isi.relation.firstpage | 285 | * |
| isi.relation.lastpage | 295 | * |
| isi.title | Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian | * |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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