Application of Kimi Intelligent Assistant in the Teaching of Water Pollution Control Engineering Course

Jiao Chen; Shuxin Li; Qin Huang; Siyu Yan; Zhitao Xie; Yixin Lu

doi:10.54097/azs30852

Authors

Jiao Chen
Shuxin Li
Qin Huang
Siyu Yan
Zhitao Xie
Yixin Lu

DOI:

https://doi.org/10.54097/azs30852

Keywords:

Intelligent assistant; Water pollution control engineering; Teaching; Application; Challenges.

Abstract

With the rapid development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. This paper introduces the functional features of the Kimi Intelligent Assistant and elaborates on its application in the teaching of Water Pollution Control Engineering course from aspects such as assisting in lesson plan design, creating mind maps, answering questions, process design, exercise compilation, and extracurricular extended learning. Challenges and countermeasures of introducing Kimi Intelligent Assistant into the course teaching are analyzed from the perspectives of technology integration, teacher training, student acceptance, data security and privacy, cost, and curriculum content updates. The paper also provides a prospect for the further application of the Kimi Intelligent Assistant, suggesting that it is expected to become an important tool in promoting the technological development of future environmental engineering education.

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References

Chen J, Zhang Y, Jiang L, et al. Exploration and practice of TEPX diversified blended teaching mode aimed at improving students' innovative ability[J]. China Modern Educational Equipment, 2024(1):144-146.

Zhao C W, Huang J L. Reform and practice of multidimensional integrated teaching in Water Pollution Control Engineering course[J]. Journal of Higher Education, 2023, 9(32):125-128.

Liao Z N, Zhang W. Exploring the new path of artificial intelligence + education classroom teaching reform[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2024, 7(2):54-56.

Huang R H, Chen Y, Ahmed Tlili. Typical scenarios and governance of educational robot application[J]. China Modern Educational Equipment, 2024(1):1-4+8.

Lin B D, Mei X J. On the transformation and ethical consideration of education and teaching in colleges and universities in the era of artificial intelligence[J]. Legal Education Research, 2023, 42(3):46-63.

Mulyani R, Wulandari S, Mahadi I. Improving students metacognitive abilities through mind mapping with problem based learning learning models on the concept of environmental pollution at SMAN 7 Pekanbaru[J]. Journal of Educational Sciences, 2020, 4(2):380-391.