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Generative AI & the researcher: strategies, insights & practical uses
Welcome to the course
Course overview
Learning outcomes
Glossary of terms & abbreviations
Module 1: An introduction to generative AI tools, ethics & limitations
1.1 What are generative AI tools?
1.2 Why use generative AI tools?
1.3 Limitations of generative AI tools
1.4 Ethical considerations & responsible use
1.5 Module quiz
Module 2: Using generative AI tools in research
2.1 What can generative AI tools do?
2.2 Which tool for what task?
2.3 Multi-tasking chatbots
2.4 Literature searching, organising & analysis
2.5 Summarising & understanding
2.6 Data analysis & visualisation
2.7 Image generation
2.8 Writing support
2.9 Exercises
Module 3: Integrating generative AI tools into your workflow
3.1 The stages of the research process
3.2 Stage 1: Discovery - Exploring the field & defining your research project (23:07)
3.3 Stage 2: Project planning & implementation (10:13)
3.4 Stage 3: Analysis (11:25)
3.5 Stage 4: Writing (5:03)
3.6 Stages 5-7: Publishing, outreach & evaluation (6:48)
3.6 Tips for writing good prompts
3.7 Summary
3.8 Exercises
Summary
Course summary
Further reading
3.2 Stage 1: Discovery - Exploring the field & defining your research project
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