Evaluation of teaching effect of internet of things education platform based on long-term and short-term memory network Online publication date: Wed, 16-Dec-2020
by Yanhong Chen
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 31, No. 1, 2021
Abstract: Aiming at the problems of poor teaching effect and high energy consumption existing in traditional internet of things education platform, this paper puts forward a teaching effect evaluation method of internet of things education platform based on long-term and short-term memory network. Firstly, the status quo of the education platform of the internet of things is analysed, including the development and structure of the education platform of the internet of things. Then, the LSTM model is constructed to realise the evaluation of the teaching effect of the education platform of the internet of things. Finally, through the study of the model, the teaching effect of the internet of things education platform is evaluated. The experimental results show that the running energy consumption accounts for 12.84% of the total energy consumption of the system when the method is used to evaluate the teaching effect, which proves the effectiveness of the method.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com