Jiangxi Teachers College, Jiangxi 335000, China
Mechanical drawing is one of the core courses of mechanical specialty in higher vocational and technical schools. Students learn the basic knowledge of mechanical drawing. Higher vocational students can basically achieve the basic ability of reading paper and using Auto CAD to draw graphics skillfully. In higher vocational and technical schools, the teaching of traditional mechanical drawing course generally adopts mechanical exercises to improve the reading ability and drawing ability of drawings. Students in higher vocational and technical schools lack the initiative to learn theoretical knowledge. In order to improve students' initiative in learning knowledge and improve teachers' teaching effect, the information teaching mode of mechanical drawing in higher vocational colleges based on big data technology is applied to the classroom. By using the video teaching of-micro-class under big data technology, the text content of the textbook is static and boring, which is presented through wonderful pictures, moving pictures or animation. Through the test and evaluation of the effect of mechanical students using micro-class teaching, this paper studies the method of using test questions and questionnaires to compare the results before (60 points) and after use (72 points).250 questionnaires were received to evaluate the effect of micro-class teaching and interview teachers. Finally, it is found that through the use of micro-class teaching, the students generally do not want to think, passive learning, waiting for teachers to learn habits, so that they are willing to learn, active learning, and finally make the quality of teaching and learning in secondary vocational schools can be substantially improved.
Big Data Technology, Mechanical Drawing, Micro Class, Teaching Mode
Moqing Zhang. Information Teaching Mode of Mechanical Drawing in Higher Vocational College Based on Big Data Technology. Kinetic Mechanical Engineering (2021), Vol. 2, Issue 1: 9-15. https://doi.org/10.38007/KME.2021.020102.
 Wamba S F, Gunasekaran A, Akter S, et al. Big data Analytics And Firm Performance: Effects Of Dynamic Capabilities. Journal of Business Research, 2017, 70:356-365. https://doi. org/ 10.1016/ j.jbusres.2016.08.009
 Xu L, Jiang C, Wang J , et al. Information Security in Big Data: Privacy and Data Mining. IEEE Access, 2017, 2(2):1149-1176. https://doi.org/10.1109/ACCESS.2014.2362522
 Sivarajah U , Kamal M M , Irani Z , et al. Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 2017, 70:263-286. https://doi.org/ 10.1016/ j.jbusres.2016.08.001
 Liao Y, Liu Y. An Empirical Study on the Reform of Teaching Mode in Western Universities -- Taking the online and offline blended teaching reform of "Computer Foundation" in Xinjiang University as an example. Journal of Physics: Conference Series, 2020, 1651(1):012154 (6pp). https://doi.org/10.1088/1742-6596/1651/1/012154
 Pang L. Teaching Mode of Library Information Literacy Course Based on Hierarchical Embedded Service. International Journal of Emerging Technologies in Learning (iJET), 2020, 15(10):27. https://doi.org/10.3991/ijet.v15i10.13995
 Li X. Optimization method for English Teaching Mode Innovation and Development Countermeasures Based on Multimedia Information Platform. Boletin Tecnico/Technical Bulletin, 2017, 55(16):550-558. https://doi. org/ 10.1016/ bt.tb.2016.08.009
 Fang Y. Research on the Effectiveness of the new Foreign Language Classroom Teaching Mode in the Information Era. Agro Food Industry Hi Tech, 2017, 28(1):1187-1190. https://doi. org/ 10.1016/ afiht.2016.08.009
 Hanfei L. Innovative Research on the Teaching Mode and Method of Art Design Course under the Environment of Advanced Information Technology. Boletin Tecnico/Technical Bulletin, 2017, 55(19):83-90. https://doi. org/ 10.1016/ bt.tb.2016.08.008
 Wu M H, Ma Z X, Deng Y. A Research and Practice of the Course Construction of Architectural Drawing and CAD Course - The Awarded Achievement of the 7th Teaching Achievement Awards of Hubei Province. Advanced Materials Research, 2013, 785-786:1493-1497. https://doi.org/10.4028/www.scientific.net/AMR.785-786.1493
 Cherry J L. Study of the Employment Patterns of Negroes in Selected Occupations in Dade County, Florida. Proceedings of the National Academy of Sciences, 1956, 83(4):1045-9. https://doi. org/ 10.1016/ pnas.2016.08.009