A Blended Chinese-as-a-Foreign- Language Short Course: Design and Perceptions

Thumbnail Image
Supplemental Files
Date
2016-01-01
Authors
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Zhang, Shenglan
Associate Professor
Research Projects
Organizational Units
Organizational Unit
World Languages and Cultures
The Department of World Languages and Cultures seeks to provide an understanding of other cultures through their languages, providing both linguistic proficiency and cultural literacy. Majors in French, German, and Spanish are offered, and other coursework is offered in Arabic, Chinese, Classical Greek, Latin, Portuguese, and Russian
Journal Issue
Is Version Of
Versions
Series
Abstract

This study investigated learners’ perceived effectiveness of a blended Chinese non-credit bearing short course designed for engineering students with no prior knowledge about Chinese language. Few studies have examined how to design blended Chinese courses for beginning learners. The design of this study was based on the framework of parameters proposed by Neumeier (2005). Bloom’s taxonomy of learning objectives in the cognitive domain was adopted in deciding on the time distribution to the two modes (Face-To-Face and online), and on sequencing the two modes. FTF was the lead mode with activities that help learners apply and practice what they learned creatively. Online activities were designed mainly to help learners memorize vocabularies, analyze word order, and comprehend culture. Data were collected through a survey and an informal interview. The findings show that the design is effective but improvements are needed.

Comments

This article is published as Zhang, Shenglan. "A Blended Chinese-as-a-Foreign-Language Short Course: Design and Perceptions." International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT) 6, no. 2 (2016): 35-55. doi:10.4018/IJCALLT.2016040103. Posted with permission.

Description
Keywords
Citation
DOI
Copyright
Fri Jan 01 00:00:00 UTC 2016
Collections