Journal of Northeastern University(Social Science) ›› 2015, Vol. 17 ›› Issue (6): 650-656.DOI: 10.15936/j.cnki.1008-3758.2015.06.017

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On the Data-driven Learning of German Vocabulary from the Perspective of Sociocultural Theory

JIANG Feng   

  1. (Foreign Studies College, Northeastern University, Shenyang 110819, China)
  • Received:2015-05-30 Revised:2015-05-30 Online:2015-11-25 Published:2015-11-25
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Abstract:

Sociocultural theory (SCT) emphasizes the important role of language in the development of human cognition and mental function and it believes that the mental function of people develops from a lower level to a higher level, namely, regulation develops from object-regulation to other-regulation and then gradually to self-regulation. With the development of the Internet and information technology, corpus has been gradually applied to second language acquisition. The effect of DDL (data-driven learning) on German vocabulary acquisition from SCT perspective was explored and the results indicated that that as learning time increases, learners ability to acquire vocabulary is improving. Different regulations may exert different effects. The beginners are mainly affected by object-regulation and the intermediate learners have begun to fulfil their learning tasks by other-regulation. Yet, the advanced learners are mainly influenced by self-regulation.

Key words: sociocultural theory (SCT), regulation, data-driven learning (DDL), vocabulary acquisition

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