After I had finished editing this video, I noticed something. Here is what ChatGPT said about it 😅 me: how bad is it, if I say ChatGTP instead of ChatGPT in a RUclips video? ChatGPT: It is a minor mistake, but it might confuse some viewers who are familiar with the correct name "ChatGPT". However, as long as the rest of the content in the video is clear and informative, this mistake should not significantly impact the overall quality of the video.
If you are interested in not only using prompts, but applying an integrated workflow that uses AI throughout the research process, check out this video: ruclips.net/video/__uILJi5kBM/видео.html
I use MAXQDA in my job and was looking for a good video to share with colleagues if they ask about applications of AI in qualitative data analysis. And this video is perfect! AI shouldn’t be a replacement for human qualitative analysis, but it has the potential of being a powerful tool and assistant that can help make the analysis process more efficient, as long as people don’t rely on it without confirming the text it’s producing. As you said, hallucination is a common issue with large language models and other types of generative AI. If you’re heading up a research team and are considering incorporating AI into your workflow, it’s important to understand how this technology works before you decide to get rid of half of your research staff because you assume the AI will just do all the data analysis for you and do so with 100% accuracy.
Thank you, so glad this video could help. In addition, MAXQDA recently released the AI Assist feature. You can see what it can do here: ruclips.net/video/RAbFbxG60Wg/видео.html
Hey there! If you are still interested in using AI & MAXQDA this video might be interesting to you. It is a workflow of how to use AI along the entire coding process ruclips.net/video/__uILJi5kBM/видео.html
1. Using ChatGPT to Summarize Coded Content: The presenter suggests that after reading interview data and doing initial coding in MAXQDA, researchers can copy the text into ChatGPT and have it generate a summary. This can save time and effort compared to manually writing a summary. 2. Summarizing Coded Segments: Similarly, researchers can export coded segments from MAXQDA into a spreadsheet, then copy that into ChatGPT. The AI can then provide a concise summary focusing on commonalities as well as any exceptional cases within the coded data. 3. Generating Code System Ideas: By taking the content of important coded segments and providing that to ChatGPT, the AI can suggest new code ideas that may help describe the data more effectively. This allows the researcher to develop a code system grounded in the data but enhanced by the AI's insights. 4. Defining Codes with ChatGPT: For any existing codes, the researcher can copy the coded segments into ChatGPT. The AI can then generate a definition and example for that code, as well as identify any segments that may not fit the code properly. This helps the researcher refine and improve their code definitions. 5. Maintaining Researcher Control: The presenter emphasizes the importance of the researcher maintaining control - only using ChatGPT for summarization, idea generation and definitional tasks on content the researcher has already reviewed. Blindly trusting ChatGPT's output is risky due to potential hallucinations. 6. Internal vs. Formal Use: The presenter recommends using ChatGPT's capabilities for internal tasks like writing memos and summaries, but cautions against directly incorporating any AI-generated text into formal research outputs, as this could lead to academic integrity issues. 7. Embracing the AI Assistant: Overall, the presenter sees great potential in using ChatGPT as a powerful research assistant within the MAXQDA qualitative analysis workflow, as long as the researcher remains vigilant and maintains appropriate control.
The main problems when considering whether or not to use A.I. to analyse qualitative data are privacy concerns. Safe use mens that the a.i. must be able to run nativly on your computer (offline-mode). Using chatgpt to analyse actual interview, especially those containing sensitive infirmation is highly unethical.
After I had finished editing this video, I noticed something. Here is what ChatGPT said about it 😅
me:
how bad is it, if I say ChatGTP instead of ChatGPT in a RUclips video?
ChatGPT:
It is a minor mistake, but it might confuse some viewers who are familiar with the correct name "ChatGPT". However, as long as the rest of the content in the video is clear and informative, this mistake should not significantly impact the overall quality of the video.
Yeah, it kept bothering me that you said ChatGTP :P. But great stuff.
haha It didn’t bother me. I use ChatGPT every day, and even I slip up here and there and call it ChatGTP.
If you are interested in not only using prompts, but applying an integrated workflow that uses AI throughout the research process, check out this video: ruclips.net/video/__uILJi5kBM/видео.html
I had to laugh at first because of ChatGTP, but your prompts really woked. so thanks a lot
😄 great to hear that you still found the promts useful!
@@muellermixedmethodshi po good evening 3:27
I use MAXQDA in my job and was looking for a good video to share with colleagues if they ask about applications of AI in qualitative data analysis. And this video is perfect!
AI shouldn’t be a replacement for human qualitative analysis, but it has the potential of being a powerful tool and assistant that can help make the analysis process more efficient, as long as people don’t rely on it without confirming the text it’s producing. As you said, hallucination is a common issue with large language models and other types of generative AI. If you’re heading up a research team and are considering incorporating AI into your workflow, it’s important to understand how this technology works before you decide to get rid of half of your research staff because you assume the AI will just do all the data analysis for you and do so with 100% accuracy.
Thank you, so glad this video could help. In addition, MAXQDA recently released the AI Assist feature. You can see what it can do here: ruclips.net/video/RAbFbxG60Wg/видео.html
Hey there! If you are still interested in using AI & MAXQDA this video might be interesting to you. It is a workflow of how to use AI along the entire coding process ruclips.net/video/__uILJi5kBM/видео.html
1. Using ChatGPT to Summarize Coded Content: The presenter suggests that after reading interview data and doing initial coding in MAXQDA, researchers can copy the text into ChatGPT and have it generate a summary. This can save time and effort compared to manually writing a summary.
2. Summarizing Coded Segments: Similarly, researchers can export coded segments from MAXQDA into a spreadsheet, then copy that into ChatGPT. The AI can then provide a concise summary focusing on commonalities as well as any exceptional cases within the coded data.
3. Generating Code System Ideas: By taking the content of important coded segments and providing that to ChatGPT, the AI can suggest new code ideas that may help describe the data more effectively. This allows the researcher to develop a code system grounded in the data but enhanced by the AI's insights.
4. Defining Codes with ChatGPT: For any existing codes, the researcher can copy the coded segments into ChatGPT. The AI can then generate a definition and example for that code, as well as identify any segments that may not fit the code properly. This helps the researcher refine and improve their code definitions.
5. Maintaining Researcher Control: The presenter emphasizes the importance of the researcher maintaining control - only using ChatGPT for summarization, idea generation and definitional tasks on content the researcher has already reviewed. Blindly trusting ChatGPT's output is risky due to potential hallucinations.
6. Internal vs. Formal Use: The presenter recommends using ChatGPT's capabilities for internal tasks like writing memos and summaries, but cautions against directly incorporating any AI-generated text into formal research outputs, as this could lead to academic integrity issues.
7. Embracing the AI Assistant: Overall, the presenter sees great potential in using ChatGPT as a powerful research assistant within the MAXQDA qualitative analysis workflow, as long as the researcher remains vigilant and maintains appropriate control.
The main problems when considering whether or not to use A.I. to analyse qualitative data are privacy concerns. Safe use mens that the a.i. must be able to run nativly on your computer (offline-mode). Using chatgpt to analyse actual interview, especially those containing sensitive infirmation is highly unethical.
Very useful
Good an informative video
❤❤❤
He probably also used chatgpt to write the script of this video
Only to write the video description 😄
Be kind, I also mostly say GTP instead of GPT hahaha
What matters is the video is great and we learned:)
hi po good evening ✨ 0:45