Black-Liberation.Tech

AI as a Tool...Not the Answer - Part 1

Listen

Description

In this special episode, Dr. Renée Jordan takes a deep dive into how AI tools, specifically ChatGPT, can assist researchers—especially doctoral students—by enhancing their research process without doing the work for them. Dr. Jordan shares a module created for a professor, highlighting four AI products she’s used to help with research tasks like crafting guiding questions for a literature review and refining research contributions. She emphasizes that AI is a valuable tool for organizing and shaping ideas but cannot replace the essential work of the researcher. Through a hands-on demonstration, Dr. Jordan shows how to use AI to outline literature reviews, identify research gaps, and refine study focus areas, offering practical tips for integrating AI into academic research workflows. This episode is ideal for anyone looking to enhance their research process with AI while maintaining academic integrity. Check out the YouTube version of this episode to see it all for yourself.

Stay tuned for Part 2 in this series, where we’ll continue to explore how to use AI for refining your literature review and crafting your research approach.

Three Key Takeaways:

  1. AI as a Tool, Not the Answer: AI tools like ChatGPT can help researchers by generating prompts, organizing thoughts, and refining literature reviews, but they cannot replace the essential intellectual work that researchers must do to contribute to the field. It’s crucial to use AI as a resource, not as a substitute for original research.
  2. Crafting Guiding Questions for Literature Reviews: Dr. Jordan demonstrates how AI can be used to generate guiding questions that help shape and refine a literature review, ensuring that researchers focus on gaps in existing literature and position their study to contribute new insights to the field.
  3. Customizing AI to Your Research Focus: The importance of tailoring AI-generated content to fit your specific research questions, keywords, and framework is emphasized. AI tools can be adapted to suit individual research interests, ensuring that the final output aligns with the researcher’s unique academic journey.