The application of MAXQDA AI Assist can fundamentally enhance the researcher's work in the qualitative data analysis process using MAXQDA software. MAXQDA AI Assist utilizes advanced AI technology - the GPT 3.5 large language model, to offer functions such as generating summaries of both uncoded and coded data, recommending new codes and subcodes, explaining unfamiliar terms, and more. While MAXQDA AI Assist does not replace the researcher in conducting research, it serves as a valuable tool to complement the researcher's analysis process by offering efficient and innovative solutions. By understanding the capabilities and principles of MAXQDA AI Assist, researchers can optimize their analysis workflow and gain deeper insights from their data within the MAXQDA environment.
phone +370 630 16595
email ineta.simonaite@ktu.lt
Vilma Sukackė is an associate researcher at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU, a lecturer, editor of the scientific journal "Information Technologies and Management" and a doctoral candidate in KTU Education. Research interests: technology-enriched learning, research methods and sociolinguistics. She teaches the following modules to Bachelor and Master students: Social Network and Media Analysis, Computer Assisted Qualitative Research Methods, Introduction to Research Methods, and Contemporary Educational Systems and Technologies. Vilma is registered as one of the MAXQDA Professional Lecturers in the MAXQDA Lecturers' Network from 2020. Vilma organises seminars and workshops on research methods, computer-assisted data analysis, academic writing and technology-enriched teaching in Lithuania and abroad. She organises trainings and events aimed at developing the competences and networking of lecturers and PhD students.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt