Research on Information Literacy Education Based on Gaussian distribution and Neural Network Model
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DOI: 10.23977/icmee.2019.2741
Author(s)
Jiemin Yang, Yi Zhou, Ying Li, Gang Du, Meile Tan, Li Wang
Corresponding Author
Li Wang
ABSTRACT
At present, most of the research on College Students' information literacy is based on the research model by induction and summary, which has many problems. This paper studies from both individual learning and group environment, then forms a vertical gradient structure, and establishes a multi-layer iteration model from the neural network learning process of human, and constructs a three-dimensional research model to study information literacy education of college students from macro and micro scales. It also proposes a method combining Delphi Method with Gaussian distribution for the characteristics study of iteration layer, and gives a quantifiable research scheme, which has practical value.
KEYWORDS
Information literacy, Gaussian distribution, neural network, Delphi Method