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MIT Open Learning Presents an Open Lecture

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We invite you to join the online lecture "AI and Qualitative Research: Methods, Tools, Rigor, and Ethics" on December 11, 2025, at 16:00 (4:00 PM), hosted by MIT Open Learning in collaboration with MIT RAISE (Responsible AI for Social Empowerment and Education).

Registration Link: https://forms.gle/v56cqnUwLabAeS6p6

Speaker: James Goh, MIT Open Learning, in collaboration with MIT RAISE.

Organizer: National Technical University "Kharkiv Polytechnic Institute" (NTU "KhPI").

Duration: 60 minutes
Format: Online (Zoom)
Language: English

Target Audience: Unlimited number of students and researchers from NTU "KhPI"

Topic: AI and Qualitative Research: Methods, Tools, Rigor, and Ethics

What You Will Learn in the Session:
  • Latest MIT Research: How AI can support qualitative methodologies such as thematic analysis, grounded theory, discourse, and narrative analysis.
  • Tools and Methods: Discussion on how AI-based tools can assist in thematic analysis, coding, content analysis, frequency analysis, and cross-segment comparisons, while maintaining academic rigor.
  • Ethical Considerations: Exploration of the ethical aspects of using AI for qualitative data collection and analysis.
At the end of the lecture, participants interested in deepening their methodological knowledge will be introduced to free qualitative research courses available on the MIT Learn platform, including:
  • Qualitative Research Methods: Interview Process
  • Qualitative Research Methods: Data Coding and Analysis

This event is part of the MIT Open Learning Talks series, which highlights cutting-edge innovations in teaching, learning, and research, and is offered to universities worldwide to broaden access to knowledge about responsible AI and qualitative research.