Nwafor Peace C, Gurung Shason, van Krimpen Philip, Schnaubert Lenka, Jolley Katherine, Pearman-Kanza Samantha, Willoughby Cerys, Hirst Jonathan D
School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.
Digital Research Service, University of Nottingham, University Park Nottingham NG7 2RD, United Kingdom.
J Chem Educ. 2025 Jun 5;102(7):2720-2731. doi: 10.1021/acs.jchemed.4c01393. eCollection 2025 Jul 8.
AI4Green is an open-source, machine-learning-powered electronic laboratory notebook (ELN) developed to help chemists mitigate environmental impacts, particularly within the pharmaceutical sector. This study presents AI4Green4Students, a pedagogically adapted version designed to foster sustainable laboratory practices. The AI4Green4Students ELN includes features for sustainability assessment, data documentation, and analysis, aiming to equip students with skills for modern, sustainable laboratory practices. User feedback, gathered through questionnaires and interviews, informed the initial development and subsequent refinements of the application. Implementation in a Year 3 undergraduate chemistry lab project indicated improved adherence to sustainable practices, suggesting that the ELN supports the integration of sustainable chemistry into laboratory teaching. Future efforts will expand AI4Green4Students to include additional experiments to broaden its applicability across undergraduate chemistry courses, as well as integrate machine learning tools to enhance data analysis capabilities.
AI4Green是一个开源的、由机器学习驱动的电子实验室笔记本（ELN），旨在帮助化学家减轻环境影响，特别是在制药行业。本研究展示了AI4Green4Students，这是一个经过教学法调整的版本，旨在培养可持续的实验室实践。AI4Green4Students ELN包括可持续性评估、数据记录和分析功能，旨在使学生具备现代可持续实验室实践的技能。通过问卷调查和访谈收集的用户反馈为该应用程序的初步开发和后续改进提供了依据。在本科三年级化学实验室项目中的实施表明，对可持续实践的遵守情况有所改善，这表明ELN支持将可持续化学融入实验室教学。未来的工作将扩展AI4Green4Students，纳入更多实验，以扩大其在本科化学课程中的适用性，并整合机器学习工具以增强数据分析能力。
