Design of innovation ability evaluation model based on IPSO-LSTM in intelligent teaching.

ABSTRACT: Guided by the development of an innovative economy, students' innovative education has also become the focus of talent training. This research aims to realize the intelligent evaluation of students' innovation ability. In this article, we proposed an innovation ability framework that integrates students' psychological state and innovation evaluation indicators. Firstly, the qualitative description of psychological data is quantified using the Delphi method. Secondly, this article proposes an improved particle swarm optimization-long short-term memory (IPSO-LSTM) model to achieve high-precision evaluation and classification of innovation capabilities. The classification accuracy of this model for excellent, general and failed innovation capabilities is up to 95.3%. Finally, the characterist

SUBMITTER: Wan F 

PROVIDER: S-EPMC10703056 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature