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Optimizing Language Teachers’ Competencies Based on Big Data Technology

Author

Listed:
  • Xia Miao
  • Yanping Wang
  • Wen-Tsao Pan

Abstract

Using big data technology to promote the maturity and application of human analysis is the key to establish and maintain the competitive advantage of the school. Modern teachers must have the quality and ability to adapt to their work, that is, professional ability, in order to improve the teaching quality more pertinently. In order to effectively promote teachers’ professional growth, this paper proposes a Chinese teachers’ Ability Optimization Model Based on big data technology. Chinese teachers should take the initiative to meet the mission and challenges given by the times, strengthen Chinese teaching ability through the promotion of microability of information technology, explore the changes of learning and teaching style under the environment of information technology, and improve the ability of Chinese teachers. The research on the ability optimization of Chinese teachers based on big data technology in this paper can help schools optimize the training plan system by using the winning power model, that is, the training plan system can be improved from three aspects: determining the training objectives and contents and selecting the training methods. Teachers must improve their abilities through continuous learning, so as to promote education more actively and cultivate more talents for the country.

Suggested Citation

  • Xia Miao & Yanping Wang & Wen-Tsao Pan, 2022. "Optimizing Language Teachers’ Competencies Based on Big Data Technology," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, July.
  • Handle: RePEc:hin:jnlmpe:8935312
    DOI: 10.1155/2022/8935312
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