Scenario-Based Learning Exemplification with a Dynamic Video Retrieving Tool for the Second Language Teaching

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In most second language teaching environments, the traditional teaching instruction tends to focus on language elements, grammatical rules, and vocabulary memorizing rather than learning on the language in meaningful discourse for successful communication. A simple memory of abstract language elements in a context-free learning environment will make language learning a very difficult task and often frustrate teachers in providing examples of relevant contexts with phrases and sentences. This study describes an interactive video retrieval tool that helps English teachers provide the authentic material of a particular language element which can be viewed in different environments. The tool allows students to access 110 video clips containing examples of contextualized language elements to help them build their perception of the target language. Besides, the tool analyzes the emotional polarity of each subtitle. The result shows that 5814/6000 words could be found by using the tool for Chinese CET-6 training, and the repetition rate the examples was 85% (CET-4) and 87% (CET-6). In a short time, the tool is designed to give teachers access to many dynamic examples from a multimedia corpus, and the choice of teachers can be easily used as a teaching resource for students. The design of this study not only reveals the importance of using dynamic instances in the classroom, but also provides an effective strategy for English teachers to present and explain new vocabulary to students.

Cite

CITATION STYLE

APA

Wang, K. T., Lu, L., Sun, Q., & Huang, T. C. (2019). Scenario-Based Learning Exemplification with a Dynamic Video Retrieving Tool for the Second Language Teaching. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11937 LNCS, pp. 783–793). Springer. https://doi.org/10.1007/978-3-030-35343-8_81

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free