A Painting Teaching Mode Based on STEM Theory

Article Properties
Abstract
Cite
Pan, Chang. “A Painting Teaching Mode Based on STEM Theory”. International Journal of Emerging Technologies in Learning (iJET), vol. 13, no. 08, 2018, p. 159, https://doi.org/10.3991/ijet.v13i08.9048.
Pan, C. (2018). A Painting Teaching Mode Based on STEM Theory. International Journal of Emerging Technologies in Learning (iJET), 13(08), 159. https://doi.org/10.3991/ijet.v13i08.9048
Pan, Chang. “A Painting Teaching Mode Based on STEM Theory”. International Journal of Emerging Technologies in Learning (iJET) 13, no. 08 (2018): 159. https://doi.org/10.3991/ijet.v13i08.9048.
Pan C. A Painting Teaching Mode Based on STEM Theory. International Journal of Emerging Technologies in Learning (iJET). 2018;13(08):159.
Journal Category
Education
Theory and practice of education
Citations
Title Journal Journal Categories Citations Publication Date
LPI: learn postures for interactions Machine Vision and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2021
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled LPI: learn postures for interactions and was published in 2021. The most recent citation comes from a 2021 study titled LPI: learn postures for interactions. This article reached its peak citation in 2021, with 1 citations. It has been cited in 1 different journals. Among related journals, the Machine Vision and Applications cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year