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AI4Green4Students: Promoting Sustainable Chemistry in Undergraduate Laboratories with an Electronic Lab Notebook
Peace C Nwafor1, Shason Gurung2, Philip van Krimpen2
1School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.
AI4Green4Students, an electronic laboratory notebook (ELN), enhances sustainable chemistry education by integrating environmental impact assessments into undergraduate lab projects. This tool equips students with practical skills for greener laboratory practices.
Area of Science:
- Green Chemistry
- Chemical Education
- Laboratory Informatics
Background:
- The pharmaceutical sector faces environmental challenges, necessitating sustainable practices.
- Traditional laboratory notebooks lack features for environmental impact assessment.
- Educating future chemists in sustainable practices is crucial.
Purpose of the Study:
- To present AI4Green4Students, a pedagogical adaptation of the AI4Green electronic laboratory notebook (ELN).
- To foster sustainable laboratory practices among undergraduate chemistry students.
- To integrate sustainability assessment tools into chemistry education.
Main Methods:
- Development of AI4Green4Students with features for sustainability assessment, data documentation, and analysis.
- Collection of user feedback through questionnaires and interviews for iterative refinement.
- Implementation in a Year 3 undergraduate chemistry lab project.
Main Results:
- The AI4Green4Students ELN was successfully developed and refined based on user feedback.
- Implementation in an undergraduate lab project showed improved adherence to sustainable practices.
- The ELN demonstrated its potential to support the integration of sustainable chemistry into teaching.
Conclusions:
- AI4Green4Students effectively supports the integration of sustainable chemistry principles into undergraduate laboratory teaching.
- The ELN equips students with essential skills for modern, environmentally conscious chemical practices.
- Future work will expand the ELN's scope and enhance its machine learning capabilities.
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