The Innovation of Music Teaching Mode Under the Background of Big Data

Author:

Liu Jie

Abstract

Abstract Technological progress, that is, large data scale, fast data extraction and analysis speed, and data structure diversity are the essential characteristics of big data. Big data is the key historical factor to promote the current development of the times. Facing the future education reform and development, information technology has become an innovation. With the support of big data technology, MOOC centered teaching mode and computing research paradigm are gradually becoming mature and become an important development trend of teaching research. Develop learning modules and suggest specific core courses in which their coverage may find the right context. In this paper, we study the participatory teaching method and record our classroom experience in these interventions. Specifically, we discussed learning outcomes, module content, their design and implementation, student assessment results and lessons learned.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. University J. Construction of University Employment Information Network System in the Era of Big Data[J];Peg,2017

2. Research on the Teaching Reform of Environmental Specialty Courses based on Big Data Platform[J];Wei;Re vista DE La Faculty DE Salinger,2017

3. MOOC Teaching Mode of News Transmission Based on Network Audio Data Decoding Technology[J];Shea;International Journal of Emerging Technologies in Learning,2018

4. Finding One’s Place: A Case Study of a Music Mannerist[J];Bond;Journal of Research in Childhood Education,2018

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