Construction Quality Evaluation of Teacher Development Schools Based on Improved Artificial Neural Network
DOI:
https://doi.org/10.3991/ijet.v16i08.22129Abstract
There are many problems with the convention teacher education model, such as the short internship time during pre-job training, and the limited experience, pertinence, and effectiveness of on-the-job training. Fortunately, the teacher development school mechanism provides a viable solution to these problems. Therefore, the construction quality of such schools is of great significance to the teaching level and professional development of school teachers, as well as the overall development of students. As a result, this paper proposes a method to evaluate the construction quality of teacher development schools based on an improved artificial neural network. Firstly, an evaluation index system was established for the construction quality of teacher development schools, which consists of 5 core evaluation indices, and the periodical scoring criteria were detailed. Then, the feasibility of the proposed evaluation index system was verified through reliability, validity, and difference analyses. Finally, a combined neural network was constructed to evaluate the construction quality of teacher development schools. The experimental results show that our model can effectively predict the construction quality of teacher development schools, providing a reference for project quality evaluation in other fields.
Downloads
Published
How to Cite
Issue
Section
License
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.