1. Literature review: By consulting the research literature in related fields, we can understand the research status and development trend.

2. Experimental design: According to the research purpose and method, design the experimental scheme and collect and analyze the data.

3. Statistical analysis: using statistical software (such as SPSS, R, Python, etc. ) to analyze the data and draw conclusions.

4. Qualitative research methods: interview, observation, case study and other methods are used to deeply understand the research objects and phenomena.

5. Content analysis: classify, encode and analyze text, images, audio and video.

6. Network analysis: use network analysis technology to reveal the relationship and influence between research objects.

7. Machine learning and artificial intelligence: use machine learning algorithms and artificial intelligence technology to predict and classify a large amount of data.

8. Database retrieval: use academic databases (such as WebofScience, CNKI, GoogleScholar, etc.). ) search related literature.

9. Document management software: use document management software (such as EndNote, Mendeley, Zotero, etc.). ) to organize and manage references.

10. Language translation tools: use online translation tools (such as Google Translation and Baidu Translation). ) to translate foreign materials.

1 1. Drawing tools: use drawing software (such as Excel, PowerPoint, LaTeX, etc. ) Make a clear and concise chart.

12. Paper writing guidance: refer to relevant paper writing guidance and templates to improve the structure and expression quality of the paper.