A Teaching Quality Evaluation Model for Preschool Teachers Based on Deep Learning

Abstract

Developed countries regard preschool education as an important starting point and foundation for elite training. In recent years, preschool education has also attracted a growing attention in developing countries like China. Considering the significance of the teaching quality of preschool teachers to lifelong academic achievement, this paper designs a teaching quality evaluation model for preschool teachers based on deep learning. Firstly, a progressive system with a hierarchical structure was developed for the relevant evaluation indices. Then, the fuzzy comprehensive evaluation of each index layer and evaluation criterion was determined by the principle of fuzzy relationship synthesis. Finally, an evaluation prediction model was established based on extreme gradient boosting (XGBoost) algorithm and technology services’ ResNet (TS-ResNet), and proved effective and accurate through experiments. The research results provide a reference for the application of the proposed model in other evaluation prediction scenarios. © 2021. All rights reserved.

Keywords

Author Keywords

Deep learning Preschool education extreme gradient boosting (XGBoost) residual network teaching quality evaluation

Index Keywords

Learning systems Quality control Predictive analytics Deep learning Developing countries Academic achievements Hierarchical structures Progressive systems Evaluation criteria Preschool education Developed countries Fuzzy comprehensive evaluation Technology service

Author Affiliations

Shijiazhuang Preschool Teachers College, Shijiazhuang, China

Funding & Acknowledgements

No funding information

References 10 References

1 Dhivvya, J. P., Effective teaching using a real-time water quality monitoring prototype, Procedia Computer Science, 172, pp. 43-48, (2020)

2 Sabry, Sana Sabah, Toward hand functions rehabilitation using the virtual world for pre-school children with cerebral palsy, International Journal of Emerging Technologies in Learning, 15, 9, pp. 110-122, (2020)

3 Abdi, Abdo Sulaiman, Developing an electronic device to teach english as a foreign language: Educational toy for pre-kindergarten children, International Journal of Emerging Technologies in Learning, 14, 22, pp. 29-44, (2019)

4 Nithyanandam, Ganesh Kumar, A framework to improve the quality of teaching-learning process - A case study, Procedia Computer Science, 172, pp. 92-97, (2020)

5 Perez, Boris R., Measuring the quality of the blended learning approach to teaching computational sciences, Journal of Physics: Conference Series, 1587, 1, (2020)

6 Zarqtouni, Maryem, Use of formative assessment to improve the online teaching materials content quality, ACM International Conference Proceeding Series, pp. 227-232, (2020)

7 Espona, Maria José, Teaching information quality to professionals in intelligence government agencies, Proceedings of the 32nd Information Systems Education Conference, ISECON 2015, pp. 123-132, (2015)

8 Pei, Jiayin, A Micro-expression Recognition Algorithm for Students in Classroom Learning Based on Convolutional Neural Network, Traitement du Signal, 36, 6, pp. 557-563, (2019)

9 Gold, Bernadette, Observing 360-degree classroom videos – Effects of video type on presence, emotions, workload, classroom observations, and ratings of teaching quality, Computers and Education, 156, (2020)

10 Tjiptady, Bella Cornelia, Entrepreneurship development design based on teaching factory to improve the vocational education quality in singapore and indonesia, 4th International Conference on Vocational Education and Training, ICOVET 2020, pp. 130-134, (2020)

A Teaching Quality Evaluation Model for Preschool Teachers Based on Deep Learning

How to Cite