Khaled Alostath is a writer and teacher from Gaza, Palestine. He completed his B.A. in English Language and Translation from Gaza University in 2017, and his M.A. in English Language and Literature from Istanbul Aydın University in 2021. He is a professional MAXQDA trainer, specializing in the field of qualitative data analysis and mixed methods analysis. In 2023, he received his CELTA teaching qualification from Cambridge University. He currently teaches English at Akım Anatolian High School in Lüleburgaz and is preparing for doctoral studies. 

Exploring AI Features in MAXQDA: A Researcher’s Guide

In this workshop, we will explore the transformative potential of Artificial Intelligence (AI) within MAXQDA, a significant research software for qualitative data and mixed methods analysis. This workshop aims to empower researchers with the proficiency to utilize AI within MAXQDA, paving the way for a more streamlined and insightful research process. The workshop unfolds with a comprehensive overview of MAXQDA’s existing capabilities briefly, setting the stage for the introduction of AI and its game-changing applications in data analysis. Participants will then dive into hands-on exercises, navigating the integration of AI within MAXQDA. This includes a deep dive into features such as automated coding, suggested codes and subcodes, MAXQDA transcription, interactive document chat, and more. These exercises are designed to demonstrate how AI can significantly reduce manual coding time, enhance coding accuracy, and reveal hidden patterns within data, thereby enriching the overall analysis process. In conclusion, this workshop offers a unique opportunity to understand and experience the transformative potential of AI within MAXQDA. It invites researchers to embrace this technological advancement, which promises to enhance their research experience significantly, leading to more profound and impactful findings.

Duration: 50-minute session

Materials: Participants laptops/computers, Internet connection, Projector  

Participants: +10 participants

Workshop timeline:

• Introduction
  • Brief overview of the workshop structure
• MAXQDA Overview
  • MAXQDA’s capabilities and brief overview of the software  
• AI in MAXQDA
  • Introduction to the integration of AI in MAXQDA
  • Demonstration of features such as automated coding, suggested codes and subcodes, MAXQDA transcription, interactive document chat, etc.
• Hands-on Exercises
  • Participants engage in hands-on exercises using the AI features in MAXQDA
• Conclusion and Q&A  
  • Recap of the session
  • Closing remarks