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Leveraging Large Language Models in Qualitative Research
February 28 @ 10:00 am - 5:00 pm UTC+0
$124Leveraging Large Language Models in Qualitative Research
Facilitators – Dr. Jessica L. Parker and Dr. Veronica Richard
๐Location – Nova Southeastern University
๐ Wednesday, February 28, 2024 โ 10:00am-5:00pm (1 hour lunch break)
NOTE: Participants should bring their laptops for hands-on activities.
Part 1: Introduction to Large Language Models in Qualitative Research (10:00 a.m. โ 11:30 a.m.)
ย The opening session aims to familiarize participants with the concept of large language models (LLMs) and their potential applications in qualitative research.
- What are LLMs?: An overview of LLMs, their architecture, and functionalities.
- Ethical Considerations: A discussion about data privacy, responsible AI use, and other ethical considerations.
- LLMs in Qualitative Research: Specific examples and case studies of how LLMs like ChatGPT are currently being used in qualitative research.
๐ฏ Learning Outcomes:
- Gain an understanding of what LLMs are and how they function.
- Recognize the potential applications of LLMs in qualitative research.
- Understand the ethical dimensions of using LLMs in qualitative research.
Part 2: Use of LLMs to Develop and Refine Interview Protocols (11:30 a.m. โ 1:00 p.m.)
This session will be hands-on and focus on how LLMs can aid in the development and refinement of interview protocols.
- Mapping Research Questions: Exercise to align interview questions with research questions using LLMs.
- Crafting an Inquiry-based Conversation: Activity where participants use LLMs to construct a set of interview questions.
- Prototyping and Piloting: Simulated interview activity where ChatGPT serves as a stand-in for human interviewees.
ย ๐ฏ Learning Outcomes:
- Learn the step-by-step process of using LLMs to develop and refine interview protocols.
- Engage in hands-on activities to practice the techniques.
- Critique prompting using LLMs and LLM outputs regarding interview protocol generation and refinement.
- Track processes to enhance trustworthiness.
Lunch Break (1:00 p.m.โ 2:00 p.m.)
Part 3: Use of LLMs to Analyze Data (2:00 pm. โ 3:30 p.m.)
ย This session will be hands-on and focus on how LLMs can aid in the analysis of qualitative data.
- Comparative Utility of LLMs: A review of traditional data analysis methods versus the integration of LLMs in data analysis. The section will cover the advantages, limitations, and ethical considerations of both approaches.
- Hands-On Session: Participants will engage in practical exercises on thematic analysis, deductive analysis, and the individual steps within analysis processes using LLMs. They will navigate real-world datasets and use LLMs to perform various tasks related to qualitative data analysis.
๐ฏ Learning Outcomes:
- Identify the advantages and limitations of using LLMs in qualitative data analysis compared to traditional methods.
- Acquire hands-on experience in using LLMs for inductive analysis tasks such as preparing data for analysis, coding, grouping/pattern matching, and theming.
- Acquire hands-on experience in using LLMs for deductive analysis tasks such as preparing data for analysis, categorizing, and grouping/pattern matching within categories.
- Develop transparent ethical practices through intentional tracking of steps and processes (audit trail)
Part 4: Review of Guidelines for Qualitative Researchers Using LLMs (3:30 p.m.โ5:00 p.m.)
The final session will cover the ethical and practical considerations when using LLMs in qualitative research.
- Guidelines and Best Practices: A review of existing guidelines and best practices for using LLMs in qualitative research.
- Future Prospects and Limitations: Open discussion on the future applications and potential limitations of LLMs in academic research.
ย ๐ฏ Learning Outcomes:
- Familiarize yourself with guidelines and best practices.
- Discuss future prospects and limitations of using LLMs in qualitative research.
- Develop a personal ethical stance for using LLMs in qualitative research.
๐ Register here: https://www.nova.edu/webforms/tqr/leveraging-large-language-models/index.html