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Design and Research of an AI-Empowered Blended Teaching Model for Organic Chemistry in Environmental Engineering

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DOI: 10.23977/curtm.2026.090316 | Downloads: 3 | Views: 50

Author(s)

Fei Chang 1, Wei Tian 2

Affiliation(s)

1 School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
2 School of Physics, Faculty of Basic Sciences, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Fei Chang

ABSTRACT

Organic Chemistry is an important foundational course for Environmental Engineering students. However, conventional teaching often faces challenges such as the abstract content, insufficient disciplinary relevance, and low student engagement. To address these issues, this study proposes an online–offline blended teaching model integrating AI empowerment with environmental case-based learning, according to the training objectives of Environmental Engineering. Supported by AI tools such as ChatGPT and DeepSeek, the model establishes a teaching framework involving pre-class guidance, in-class inquiry, after-class tutoring, and whole-process assessment. Typical environmental cases, including bisphenol A, per- and polyfluoroalkyl substances, antibiotics, and heavy-metal complexes, are incorporated into the course to promote the integration of organic chemistry knowledge with environmental engineering practice. This model is expected to enhance students' autonomous learning ability, engineering application awareness, and overall competence, providing a new perspective for reforming Organic Chemistry teaching in Environmental Engineering.

KEYWORDS

Artificial Intelligence; Organic Chemistry; Environmental Engineering; Blended Teaching, Curriculum Reform

CITE THIS PAPER

Fei Chang, Wei Tian. Design and Research of an AI-Empowered Blended Teaching Model for Organic Chemistry in Environmental Engineering. Curriculum and Teaching Methodology (2026). Vol. 9, No. 3, 126-134. DOI: http://dx.doi.org/10.23977/curtm.2026.090316.

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