Title: Evaluation of teaching effect of internet of things education platform based on long-term and short-term memory network

Authors: Yanhong Chen

Addresses: College of Education Science, Neijiang Normal University, Sichuan, China

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.

Keywords: long-term and short-term memory network; LSTM; IoT education platform; teaching effect evaluation; evaluation objectives.

DOI: 10.1504/IJCEELL.2021.111839

International Journal of Continuing Engineering Education and Life-Long Learning, 2021 Vol.31 No.1, pp.36 - 52

Received: 30 Jul 2019
Accepted: 29 Sep 2019
Published online: 16 Dec 2020 *

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