Whether you choose an academic or professional path, research skills will always come in handy. From crafting engaging research questions to smoothly finishing papers: how can GenAI help you take these skills to the next level?
This page offers inspiration on how to use generative AI during your research. Keep this in mind: research is a complex process. What you read here is just a starting point. That said, AI allows you to tackle different aspects of your research more effectively and efficiently.
An effective research question is the foundation of your study, and it should be clear and focused, meeting your programme’s quality requirements. A useful tool for this is the SMART principle mentioned earlier in this e-course.
Incorporate these characteristics into your prompt to generate suggestions. It is often more effective to first draft your own version of the research question. This forces you to critically assess the core of your research and clarify your objectives.
Want to refine your research question with AI? Try strategies like:
Generative AI can guide you by analysing your research question and suggesting appropriate methodologies. For example:
A well-organized approach is key to efficient research. Generative AI can support you in effectively planning both big and small research projects. Here’s how:
Every language model excels at paraphrasing, but you cannot simply outsource this skill—it is a crucial part of your learning process. When you express information in your own words, you understand the concepts better. It creates a strong foundation that can be enhanced with generative AI. Here is how to approach it:
When gathering personal notes and insights from literature, you will want to organise them logically. Generative AI can help you better structure information and create useful insights. Here is how AI can assist:
Bear in mind that while generative AI can help you read, process, and organise findings and ideas, the output will never fully match your unique insights.
Generative AI is shaking the very foundations of literature review. That is why we are dedicating an entire chapter to it. Discover all about it in the next topic.
Try one of these prompts. Feel free to adapt or rewrite them, or even come up with your own version. They offer inspiration but do not guarantee perfect results. Good research requires more than just a prompt.
Research question:
You are an expert in formulating research questions. Write a concise research question on the topic of Education. Start with: ‘What is more effective: learning on paper or on an e-ink device?’ Ensure the question meets the SMART criteria.
###Considerations:
1. **Relevance**: Explain how the question contributes to existing research or addresses an important issue in the literature.
2. **Target audience**: Identify who would benefit from the findings of this research question, for example, academics, professionals, or policymakers.
3. **Contextualisation**: Provide background information to help clarify the question. Explain why it is important and how it fits within the broader field.
### Examples:
Include practical examples or templates of successful SMART research questions from similar fields to stimulate creativity and provide a clear reference point.
Rewriting:
I have written a paragraph, but I am unsure if it sounds academic enough. Could you rewrite the text in a more academic style?
Method:
You are an educational researcher. Consider the following research question: ‘To what extent does the average learning outcome of secondary school students differ when studying mathematical proofs on paper compared to studying the same proofs on an e-ink device?’
Come up with four possible ways to effectively conduct this research. Provide a brief explanation of each method, the expected results, and how this method helps answer the research question.
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