Author(s)

Zhijuan Du ¹

Affiliation(s)

¹ School of English Language and Culture, Xi'an FanYi University, Xi'an, 710105, Shaanxi, China

Corresponding Author

Zhijuan Du

ABSTRACT

With the closer economic ties between regions, the demand for English talents from society and enterprises is becoming more and more urgent, which puts forward higher requirements for the quality of English teaching in schools. The development of English teaching quality evaluation helps school administrators to formulate scientific and reasonable teaching plans in a timely manner, and helps teachers adjust and improve teaching strategies, which has a positive significance for English teaching quality. However, at this stage, the evaluation of English teaching quality still has some shortcomings, such as the lack of students' in-depth participation in the teaching evaluation process, the limitation of the subject and object of the teaching evaluation, and the backwardness of the teaching evaluation technology, which affect the quality of the school's training of English talents. In the face of this situation, this paper studied the evaluation system of English teaching quality. The following conclusions were drawn from the investigation of the evaluation of English teaching quality in three schools in Z city. The majority of teachers did not know the evaluation system and documents. 96.31% of the students thought that they did not participate in the quality evaluation. 

KEYWORDS

English Teaching Quality Evaluation; Internet of Things; Artificial Intelligence; Evaluation Subject

CITE THIS PAPER

Zhijuan Du. Construction of an English Teaching Quality Evaluation System Based on IoT and AI. Advances in Educational Technology and Psychology (2026). Vol. 10, No. 4, 1-10. DOI: http://dx.doi.org/10.23977/aetp.2026.100401.

REFERENCES

[1] Hammonds, Frank. "Student evaluations of teaching: improving teaching quality in higher education." Perspectives: Policy and Practice in Higher Education 21.1 (2017): 26-33.
[2] Zhang, Wei. "An Empirical study on student evaluations of teaching based on data mining." Eurasia Journal of Mathematics, Science and Technology Education 13.8 (2017): 5837-5845.
[3] Gunn, Andrew. "Metrics and methodologies for measuring teaching quality in higher education: developing the Teaching Excellence Framework (TEF)." Educational Review 70.2 (2018): 129-148.
[4] de Jager, Thelma. "Profile of South African secondary-school teachers' teaching quality: evaluation of teaching practices using an observation instrument." Educational Studies 43.4 (2017): 410-429.
[5] Ali, Jawad, Zia Bashir, and Tabasam Rashid. "Weighted interval-valued dual-hesitant fuzzy sets and its application in teaching quality assessment." Soft Computing 25.5 (2021): 3503-3530.
[6] Liu, Zhengyuan. "A multi-index measurement model of English classroom teaching level in colleges and universities based on fuzzy system theory." Journal of Computational and Theoretical Nanoscience 14.1 (2017): 46-50.
[7] Fawns, Tim, Gillian Aitken, and Derek Jones. "Ecological teaching evaluation vs the datafication of quality: Understanding education with, and around, data." Postdigital Science and Education 3.1 (2021): 65-82.
[8] Feistauer, Daniela, and Tobias Richter. "How reliable are students’ evaluations of teaching quality? A variance components approach." Assessment & Evaluation in Higher Education 42.8 (2017): 1263-1279.
[9] Goos, Maarten, and Anna Salomons. "Measuring teaching quality in higher education: assessing selection bias in course evaluations." Research in Higher Education 58.4 (2017): 341-364.
[10] Liu, Xiaoqi. "The application of data mining technology in the teaching evaluation in colleges and universities." Journal of Computational and Theoretical Nanoscience 14.1 (2017): 7-12.
[11] Li, Moyan, and Yawen Su. "Evaluation of online teaching quality of basic education based on artificial intelligence." International Journal of Emerging Technologies in Learning (iJET) 15.16 (2020): 147-161.
[12] Jiang, Yixuan, Jingjing Zhang, and Changai Chen. "Research on a new teaching quality evaluation method based on improved fuzzy neural network for college English." International Journal of Continuing Engineering Education and Life Long Learning 28.3-4 (2018): 293-309.
[13] Hu, Jingjing. "Teaching evaluation system by use of machine learning and artificial intelligence methods." International Journal of Emerging Technologies in Learning (iJET) 16.5 (2021): 87-101.
[14] Chen, Yanhong. "Evaluation of teaching effect of internet of things education platform based on long-term and short-term memory network." International Journal of Continuing Engineering Education and Life Long Learning 31.1 (2021): 36-52.
[15] Ge, Houwei. "Research on the Chinese foreign English teaching quality assessment with intuitionistic fuzzy information." Journal of Computational and Theoretical Nanoscience 15.1 (2018): 278-281.

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