Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Document type

Master thesis

Publication date

Publication license

cc-by-nc-nd (c) Zhang, 2019
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/172198

Intentional vocabulary learning through repeated-reading-based techniques: a case study of an adult Spanish-speaking learner of Chinese

Journal Title

Journal ISSN

Volume Title

Related resource

Abstract

This study examined the effects of repeated reading (RR) and RR-based summarizing and the additive effect of written corrective feedback (WCF) on intentional vocabulary learning with one foreign language learner of Chinese. During three weeks, the participant received a different treatment for each week. Immediate and delayed post-tests were administered to assess the receptive and productive knowledge of the self-selected words. Results showed that a combination of unassisted RR and assisted RR was effective in acquiring receptive vocabulary knowledge and short-term productive vocabulary knowledge. The study also found that summarizing was not so effective in long-term vocabulary learning as in the short term. Moreover, the findings on the additive effect of WCF were inconclusive due to the limited data. Participant’s motivation is discussed as well.

Description

Màster de Lingüística Aplicada i Adquisició de Llengües en Contextos Multilingües, Departament de Filologia Anglesa i Alemanya, Universitat de Barcelona, Curs: 2018-2019, Tutor: Raquel Serrano

Citation

Citation

ZHANG, Lijun. Intentional vocabulary learning through repeated-reading-based techniques: a case study of an adult Spanish-speaking learner of Chinese. [consulted: 13 of August of 2026]. Available at: https://hdl.handle.net/2445/172198

Export metadata

JSON - METS

Share record