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Exploration on the Implementation Path of Drawing Course Under the Information-Based Background

  • Jilan YanEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1117)

Abstract

Information-based teaching is a popular teaching means at present, practice has proved that advanced information-based teaching means can improve students’ learning interest and enthusiasm. When students read and draw mechanical patterns, they realize the spatial image thinking process of mutual transformation of “objects” and “figures” from object to figure and then from figure to object. Most students have difficulty in adapting to the situation. This paper, from the six aspects of the ideological and political education, blending learning, adopting advanced manufacturing technology, teaching platform, application of teaching resources and science and technology learning associations, will carry out the analysis of teaching implementation path in the context of information-based technology. Based on the characteristics of mechanical drawing course, this paper explores the teaching mode and path under the background of informatization, Writer hopes to provide some references for mechanical drawing teachers in information-based teaching.

Keywords

Information-based Teaching path Curriculum ideological and political education Intelligent evaluation system Blending learning 

References

  1. 1.
    Sokol, R.G., Slawson, D.C., Shaughnessy, A.F.: Teaching evidence-based medicine application: transformative concepts of information mastery that foster evidence-informed decision-making. BMJ Evid.-Based Med. 24(4), 149–154 (2019)CrossRefGoogle Scholar
  2. 2.
    Elske, A., Hackl, W.O., Felderer, M., Hoerbst, A.: Developing and evaluating collaborative online-based instructional designs in health information management. Stud. Health Technol. Inf. 243, 8–12 (2017)Google Scholar
  3. 3.
    Stefan, D.: Content and instructional design of MOOCs on information literacy. Inf. Learn. Sci. 120(3/4), 173–189 (2019)CrossRefGoogle Scholar
  4. 4.
    Long, J., Li, S., Liang, J., Wang, Z., Liang, B.: Preparation and characterization of graphene oxide and it application as a reinforcement in polypropylene composites. Polymer Compos. 40(2), 723–729 (2019)CrossRefGoogle Scholar
  5. 5.
    MacAulay, M.: Antiviral marketing: the informationalization of HIV prevention. Can. J. Commun. 44(2), 239–261 (2019)CrossRefGoogle Scholar
  6. 6.
    Pollaris, G., Note, S., Desruelles, D., Sabbe, M.: Novel IT application for reverse triage selection: a pilot study. Disaster Med. Public Health Preparedness 12(5), 599–605 (2017)CrossRefGoogle Scholar
  7. 7.
    Xiaolu, H., Huang, H., Pan, Z., Shi, J.: Information asymmetry and credit rating: a quasi-natural experiment from China. J. Banking Financ. 106, 132–152 (2019)CrossRefGoogle Scholar
  8. 8.
    Iskrev, N.: On the sources of information about latent variables in DSGE models. Eur. Econ. Rev. 119, 318–332 (2019)CrossRefGoogle Scholar
  9. 9.
    Macaluso, F.S., Mocci, G., Orlando, A., Scondotto, S., Fantaci, G., Antonelli, A., Leone, S., Previtali, E., Cabras, F., Cottone, M.: Prevalence and incidence of inflammatory bowel disease in two Italian islands, sicily and Sardinia: a report based on health information systems. Dig. Liver Dis. 51(9), 1270–1274 (2019)CrossRefGoogle Scholar
  10. 10.
    Yeom, H., Ko, Y., Seo, J.: Unsupervised-learning-based keyphrase extraction from a single document by the effective combination of the graph-based model and the modified C-value method. Comput. Speech Lang. 58, 304–318 (2019)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical and Electrical EngineeringShandong Vocational College of Light IndustryZiboChina

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