Teaching practices analysis through audio signal processing
Resumen:
Remote teaching has been used successfully with the evolution of videoconference solutions and broadband internet availability. Even several years before the global COVID 19 pandemic, Ceibal used this approach for different educational programs in Uruguay. As in face-to-face lessons, teaching evaluation is a relevant task in this context, which requires many time and human resources for classroom observation. In this work we propose automatic tools for the analysis of teaching practices, taking advantage of the lessons recordings provided by the videoconference system. We show that it is possible to detect with a high level of accuracy, relevant lessons metrics for the analysis, such as the teacher talking time or the language usage in English lessons.
| 2023 | |
| Esta investigación fue financiada por la Agencia Nacional de Investigación e Innovación (ANII) Uruguay, Número de subvención FMV_1_2021_1_166660 | |
|
Teaching analysis Classroom activity detection Diarization Education Audio signal processing |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/39852 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522936438915072 |
|---|---|
| author | Ríos, Braulio |
| author2 | Martínez, Emilio Silvera, Diego Cancela, Pablo Capdehourat, Germán |
| author2_role | author author author author |
| author_facet | Ríos, Braulio Martínez, Emilio Silvera, Diego Cancela, Pablo Capdehourat, Germán |
| author_role | author |
| bitstream.checksum.fl_str_mv | 6429389a7df7277b72b7924fdc7d47a9 a006180e3f5b2ad0b88185d14284c0e0 1df05be915d5c44b48b8b2e7a082b91a 1996b8461bc290aef6a27d78c67b6b52 c739ed941d4897d9aab1cb2c58f270fd |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://localhost:8080/xmlui/bitstream/20.500.12008/39852/5/license.txt http://localhost:8080/xmlui/bitstream/20.500.12008/39852/2/license_url http://localhost:8080/xmlui/bitstream/20.500.12008/39852/3/license_text http://localhost:8080/xmlui/bitstream/20.500.12008/39852/4/license_rdf http://localhost:8080/xmlui/bitstream/20.500.12008/39852/1/RMSCC23.pdf |
| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Ríos Braulio, Universidad de la República (Uruguay). Facultad de Ingeniería. Martínez Emilio, Universidad de la República (Uruguay). Facultad de Ingeniería. Silvera Diego, Universidad de la República (Uruguay). Facultad de Ingeniería. Cancela Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. Capdehourat Germán, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.coverage.spatial.es.fl_str_mv | Uruguay |
| dc.creator.none.fl_str_mv | Ríos, Braulio Martínez, Emilio Silvera, Diego Cancela, Pablo Capdehourat, Germán |
| dc.date.accessioned.none.fl_str_mv | 2023-09-08T18:03:12Z |
| dc.date.available.none.fl_str_mv | 2023-09-08T18:03:12Z |
| dc.date.issued.none.fl_str_mv | 2023 |
| dc.description.abstract.none.fl_txt_mv | Remote teaching has been used successfully with the evolution of videoconference solutions and broadband internet availability. Even several years before the global COVID 19 pandemic, Ceibal used this approach for different educational programs in Uruguay. As in face-to-face lessons, teaching evaluation is a relevant task in this context, which requires many time and human resources for classroom observation. In this work we propose automatic tools for the analysis of teaching practices, taking advantage of the lessons recordings provided by the videoconference system. We show that it is possible to detect with a high level of accuracy, relevant lessons metrics for the analysis, such as the teacher talking time or the language usage in English lessons. |
| dc.description.sponsorship.none.fl_txt_mv | Esta investigación fue financiada por la Agencia Nacional de Investigación e Innovación (ANII) Uruguay, Número de subvención FMV_1_2021_1_166660 |
| dc.format.extent.es.fl_str_mv | 15 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Ríos, B., Martínez, E., Silvera, D. y otros. Teaching practices analysis through audio signal processing [Preprint]. Publicado en: CIARP 2023 26th Iberoamerican Congress on Pattern Recognition, Coimbra, Portugal, 27-30 nov 2023, pp. 1-15. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/39852 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | CIARP |
| dc.relation.ispartof.es.fl_str_mv | CIARP 2023 26th Iberoamerican Congress on Pattern Recognition, Coimbra, Portugal, 27-30 nov. 2023, pp. 1-15. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Teaching analysis Classroom activity detection Diarization Education Audio signal processing |
| dc.title.none.fl_str_mv | Teaching practices analysis through audio signal processing |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Remote teaching has been used successfully with the evolution of videoconference solutions and broadband internet availability. Even several years before the global COVID 19 pandemic, Ceibal used this approach for different educational programs in Uruguay. As in face-to-face lessons, teaching evaluation is a relevant task in this context, which requires many time and human resources for classroom observation. In this work we propose automatic tools for the analysis of teaching practices, taking advantage of the lessons recordings provided by the videoconference system. We show that it is possible to detect with a high level of accuracy, relevant lessons metrics for the analysis, such as the teacher talking time or the language usage in English lessons. |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_efca5927bdca4b0350c6e15dbab53f45 |
| identifier_str_mv | Ríos, B., Martínez, E., Silvera, D. y otros. Teaching practices analysis through audio signal processing [Preprint]. Publicado en: CIARP 2023 26th Iberoamerican Congress on Pattern Recognition, Coimbra, Portugal, 27-30 nov 2023, pp. 1-15. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/39852 |
| publishDate | 2023 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Ríos Braulio, Universidad de la República (Uruguay). Facultad de Ingeniería.Martínez Emilio, Universidad de la República (Uruguay). Facultad de Ingeniería.Silvera Diego, Universidad de la República (Uruguay). Facultad de Ingeniería.Cancela Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.Capdehourat Germán, Universidad de la República (Uruguay). Facultad de Ingeniería.Uruguay2023-09-08T18:03:12Z2023-09-08T18:03:12Z2023Ríos, B., Martínez, E., Silvera, D. y otros. Teaching practices analysis through audio signal processing [Preprint]. Publicado en: CIARP 2023 26th Iberoamerican Congress on Pattern Recognition, Coimbra, Portugal, 27-30 nov 2023, pp. 1-15.https://hdl.handle.net/20.500.12008/39852Remote teaching has been used successfully with the evolution of videoconference solutions and broadband internet availability. Even several years before the global COVID 19 pandemic, Ceibal used this approach for different educational programs in Uruguay. As in face-to-face lessons, teaching evaluation is a relevant task in this context, which requires many time and human resources for classroom observation. In this work we propose automatic tools for the analysis of teaching practices, taking advantage of the lessons recordings provided by the videoconference system. We show that it is possible to detect with a high level of accuracy, relevant lessons metrics for the analysis, such as the teacher talking time or the language usage in English lessons.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-09-08T16:46:36Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) RMSCC23.pdf: 692714 bytes, checksum: c739ed941d4897d9aab1cb2c58f270fd (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2023-09-08T17:58:44Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) RMSCC23.pdf: 692714 bytes, checksum: c739ed941d4897d9aab1cb2c58f270fd (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-09-08T18:03:12Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) RMSCC23.pdf: 692714 bytes, checksum: c739ed941d4897d9aab1cb2c58f270fd (MD5) Previous issue date: 2023Esta investigación fue financiada por la Agencia Nacional de Investigación e Innovación (ANII) Uruguay, Número de subvención FMV_1_2021_1_16666015 p.application/pdfenengCIARPCIARP 2023 26th Iberoamerican Congress on Pattern Recognition, Coimbra, Portugal, 27-30 nov. 2023, pp. 1-15.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Teaching analysisClassroom activity detectionDiarizationEducationAudio signal processingTeaching practices analysis through audio signal processingPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRíos, BraulioMartínez, EmilioSilvera, DiegoCancela, PabloCapdehourat, GermánProcesamiento de SeñalesProcesamiento de SeñalesTelecomunicacionesTelecomunicacionesAnálisis de Redes, Tráfico y Estadísticas de ServiciosProcesamiento de AudioAnálisis de Redes, Tráfico y Estadísticas de ServiciosProcesamiento de AudioLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/39852/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/39852/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; charset=utf-838767http://localhost:8080/xmlui/bitstream/20.500.12008/39852/3/license_text1df05be915d5c44b48b8b2e7a082b91aMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-823149http://localhost:8080/xmlui/bitstream/20.500.12008/39852/4/license_rdf1996b8461bc290aef6a27d78c67b6b52MD54ORIGINALRMSCC23.pdfRMSCC23.pdfapplication/pdf692714http://localhost:8080/xmlui/bitstream/20.500.12008/39852/1/RMSCC23.pdfc739ed941d4897d9aab1cb2c58f270fdMD5120.500.12008/398522024-07-24 17:25:47.539oai:colibri.udelar.edu.uy:20.500.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Universidadhttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestmabel.seroubian@seciu.edu.uyUruguayopendoar:47712024-07-25T14:33:33.552503COLIBRI - Universidad de la Repúblicafalse |
| spellingShingle | Teaching practices analysis through audio signal processing Ríos, Braulio Teaching analysis Classroom activity detection Diarization Education Audio signal processing |
| status_str | submittedVersion |
| title | Teaching practices analysis through audio signal processing |
| title_full | Teaching practices analysis through audio signal processing |
| title_fullStr | Teaching practices analysis through audio signal processing |
| title_full_unstemmed | Teaching practices analysis through audio signal processing |
| title_short | Teaching practices analysis through audio signal processing |
| title_sort | Teaching practices analysis through audio signal processing |
| topic | Teaching analysis Classroom activity detection Diarization Education Audio signal processing |
| url | https://hdl.handle.net/20.500.12008/39852 |
