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ISSN:
2377-2891(Print); 2377-2905(Online)
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Editor-in-Chief:
Prof. Eric C. K. Cheng
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10.18178/ijlt
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Prof. Eric C. K. Cheng
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Yew Chung College of Early Childhood Education, Hong Kong, China
As the Editor-in-Chief of IJLT, I invite you to contribute your scholarly work to our esteemed publication. IJLT serves as a beacon for original and impactful academic contributions in the realm of education, fostering multidisciplinary research and development to enhance teaching-learning processes globally. We welcome submissions spanning a wide spectrum of topics, from innovative program development to the integration of digital tools in education. Our scope encompasses areas such as student leadership, diversity in education, and collaborative initiatives, reflecting our commitment to a sustainable and inclusive society. [
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Volume 9, No. 2, June 2023
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Think on Teaching Evaluation on Chinese University Teachers Based on Cloud Platform Data Evidence
Yangqing Zhu
1,*
and Shenhai Zheng
2
1. School of Electronic Information Engineering, Foshan University, Foshan, China
2. Information and Education Technology Center, Foshan University, Foshan, China
*Correspondence: zhuyangqing@fosu.edu.cn (Y.Z.)
Abstract
—At present, the teaching evaluation of most universities in China is mainly based on the students’ evaluation of teachers at the end of the learning course, which is difficult to play a role in the continuous improvement of teaching. Based on the Outcome-Based Education (OBE) teaching concept, this paper considered and designed a teacher teaching evaluation system based on the data evidence of cloud teaching platform. The system can save all the teaching activities and documents of teachers before, during and after class as well as the learning results of students. The evaluator used the cloud platform teaching documents to evaluate the teaching quality of subject teachers. The subject teacher will receive the evaluation results and follow-up teaching reform suggestions in the teaching evaluation module, and adjust and optimize the follow-up lectures in time to continuously improve the teaching quality. Finally, this paper gave the strategies for Chinese universities to implement teacher teaching evaluation based on cloud teaching platform data evidence, in order to better promote the reform of teacher teaching evaluation in Chinese universities.
Keywords
—data evidence, higher education, teaching evaluation, talent cultivation
Cite: Yangqing Zhu and Shenhai Zheng, "Think on Teaching Evaluation on Chinese University Teachers Based on Cloud Platform Data Evidence," International Journal of Learning and Teaching, Vol. 9, No. 2, pp. 117-124, June 2023. doi: 10.18178/ijlt.9.2.117-124
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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