Learning Outcomes:
By the end of this module, students will be able to:
1. Produce clear, well-structured scientific writing in chemistry, including research articles, reports, and review papers, tailored for diverse audiences.
- Organise information logically with clarity and precision.
- Apply proper chemical nomenclature, data presentation, and referencing standards.
2. Critically evaluate scientific literature and synthesise findings from multiple sources.
- Identify key arguments, methodologies, and evidence in research papers.
- Detect inconsistencies or gaps in scientific reasoning.
3. Apply principles of research ethics in all aspects of scientific work.
- Understand plagiarism, authorship criteria, and proper citation practices.
- Recognise and address conflicts of interest, data manipulation, and responsible reporting of results.
4. Use AI tools responsibly to enhance research and writing, while maintaining academic integrity.
- Evaluate AI-generated content critically for accuracy and bias.
- Ethics of integrated AI assistance (e.g., summarisation, language refinement) appropriately, citing sources and contributions.
5. Communicate scientific ideas orally and visually to peers and broader audiences.
- Develop effective presentations, posters, and figures that clearly convey complex chemical information.
- Tailor communication style for different audiences (specialist vs. non-specialist).
6. Reflect on the ethical, social, and environmental implications of chemical research and AI applications.
- Discuss responsible research practices and societal impacts of chemical innovation.
- Consider ethical dimensions of AI use in research, data analysis, and publication.
Indicative Module Content:
Module: Academic Writing in Chemistry (18 Sessions, 1 hour each)
Learning Outcomes Mapping
LO1: Scientific writing skills
LO2: Critical literature evaluation
LO3: Research ethics
LO4: Responsible AI use
LO5: Oral and visual communication
LO6: Reflection on ethical, social, and environmental implications
Weeks 1 - 3: Foundations of Scientific Writing (6 sessions)
Lecture 1: Introduction to academic writing in chemistry: style, structure, and audience. (LO1, LO5)
Lecture 2: Organising manuscripts: abstracts, introductions, methods, results, discussions. (LO1)
Workshop 3: Writing exercises: crafting clear abstracts and introductions. Peer feedback. (LO1, LO2)
Lecture 4: Data presentation: figures, tables, and chemical notation. (LO1, LO5)
Workshop 5: Practical session: designing effective figures and tables. (LO1, LO5)
Lecture 6: Citation management and reference styles; avoiding plagiarism. (LO1, LO3)
Weeks 4 - 6: Critical Literature and Ethics (6 sessions)
Lecture 7: Reading and evaluating primary chemistry research papers: methodology, arguments, evidence. (LO2)
Workshop 8: Literature synthesis: group activity comparing multiple papers on a chemical topic. (LO2)
Lecture 9: Research ethics I: authorship, data integrity, avoiding misconduct. (LO3, LO6)
Lecture 10: Research ethics II: conflicts of interest, responsible reporting, peer review. (LO3, LO6)
Workshop 11: Case studies in research ethics (e.g., data fabrication, plagiarism, authorship disputes). Discussion. (LO3, LO6)
Lecture 12: Social and environmental implications of chemical research. (LO6)
Weeks 7 - 9: AI Tools and Responsible Use (6 sessions)
Lecture 13: Introduction to AI in scientific research: writing, summarisation, data analysis. (LO4)
Workshop 14: Hands-on session: using AI to draft summaries or refine language, with emphasis on evaluation and proper citation. (LO1, LO4)
Lecture 15: Ethics of AI in research and publication: bias, accuracy, and authorship questions. (LO4, LO6)
Workshop 16: Group exercise: critically evaluate AI-generated text for accuracy and ethical concerns. (LO2, LO4, LO6)
Lecture 17: Oral communication and poster design in chemistry: effective messaging and visuals. (LO5)
Workshop 18: Capstone activity: students prepare a mini-poster or short presentation on a chemical topic, integrating lessons on writing, ethics, and AI assistance. Peer feedback. (LO1, LO2, LO4, LO5, LO6)