A pilot study of data-driven learning approach in teaching Chinese vocabulary

[EN] The Data-Driven Learning (DDL) approach advocates a shift from passive knowledge recipients to active researchers among learners. This is achieved by utilizing abundant and context-rich target language inputs in a bottom-up learning process (Johns, 1990). Despite the scarcity of empirical resea...

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Detalles Bibliográficos
Autores: Tseng, Yuting, Chang, Li-ping
Tipo de recurso: capítulo de libro
Fecha de publicación:2012
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/206569
Acceso en línea:https://riunet.upv.es/handle/10251/206569
Access Level:acceso abierto
Palabra clave:Data-driven learning
Corpus
DDL instructional design
Chinese teaching
Empirical study
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spelling A pilot study of data-driven learning approach in teaching Chinese vocabularyTseng, YutingChang, Li-pingData-driven learningCorpusDDL instructional designChinese teachingEmpirical study[EN] The Data-Driven Learning (DDL) approach advocates a shift from passive knowledge recipients to active researchers among learners. This is achieved by utilizing abundant and context-rich target language inputs in a bottom-up learning process (Johns, 1990). Despite the scarcity of empirical research on the implementation of DDL in Chinese as a Second Language (CSL) classrooms, this study conducted a teaching experiment focused on confusable words to explore the approach's effects and learners' attitudes. Five advanced-level CSL learners from diverse native language backgrounds participated in the study, being taught ten sets of confusable words over a five-week period. The first five lessons employed an indirect DDL method, while the latter five utilized a direct DDL method with Sketch Engine. To evaluate the effectiveness of the DDL approach, a pre-test was administered prior to the course, followed by a post-test, a questionnaire, and one-on-one interviews after the completion of the course. The results of the post-test revealed an average improvement of 24% compared to the pre-test with statistical significance. Additionally, learners exhibited a positive attitude towards the course, expressing a preference for learning vocabulary through collocations and showing a desire to observe pre-selected concordance lines under the guidance of the instructor.Editorial Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20122012-02-12book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/206569reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Compartir igual (by-nc-sa) http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2065692026-06-13T07:49:27Z
dc.title.none.fl_str_mv A pilot study of data-driven learning approach in teaching Chinese vocabulary
title A pilot study of data-driven learning approach in teaching Chinese vocabulary
spellingShingle A pilot study of data-driven learning approach in teaching Chinese vocabulary
Tseng, Yuting
Data-driven learning
Corpus
DDL instructional design
Chinese teaching
Empirical study
title_short A pilot study of data-driven learning approach in teaching Chinese vocabulary
title_full A pilot study of data-driven learning approach in teaching Chinese vocabulary
title_fullStr A pilot study of data-driven learning approach in teaching Chinese vocabulary
title_full_unstemmed A pilot study of data-driven learning approach in teaching Chinese vocabulary
title_sort A pilot study of data-driven learning approach in teaching Chinese vocabulary
dc.creator.none.fl_str_mv Tseng, Yuting
Chang, Li-ping
author Tseng, Yuting
author_facet Tseng, Yuting
Chang, Li-ping
author_role author
author2 Chang, Li-ping
author2_role author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Data-driven learning
Corpus
DDL instructional design
Chinese teaching
Empirical study
topic Data-driven learning
Corpus
DDL instructional design
Chinese teaching
Empirical study
description [EN] The Data-Driven Learning (DDL) approach advocates a shift from passive knowledge recipients to active researchers among learners. This is achieved by utilizing abundant and context-rich target language inputs in a bottom-up learning process (Johns, 1990). Despite the scarcity of empirical research on the implementation of DDL in Chinese as a Second Language (CSL) classrooms, this study conducted a teaching experiment focused on confusable words to explore the approach's effects and learners' attitudes. Five advanced-level CSL learners from diverse native language backgrounds participated in the study, being taught ten sets of confusable words over a five-week period. The first five lessons employed an indirect DDL method, while the latter five utilized a direct DDL method with Sketch Engine. To evaluate the effectiveness of the DDL approach, a pre-test was administered prior to the course, followed by a post-test, a questionnaire, and one-on-one interviews after the completion of the course. The results of the post-test revealed an average improvement of 24% compared to the pre-test with statistical significance. Additionally, learners exhibited a positive attitude towards the course, expressing a preference for learning vocabulary through collocations and showing a desire to observe pre-selected concordance lines under the guidance of the instructor.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-02-12
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/206569
url https://riunet.upv.es/handle/10251/206569
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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