Application of MAXQDA AI Assist in Qualitative Data Analysis

About this course

Description
Teachers

Description

About this course

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.

You will learn:

1) Using MAXQDA AI Assist: You will understand how to effectively use the AI assistant to facilitate qualitative data analysis in the MAXQDA software.
2) Generating Summaries: You will learn how to automatically create summaries for both coded and uncoded data.
3) Receiving Code Recommendations and Automating Coding: You will discover how to use the AI assistant to receive recommendations for new codes and subcodes.
4) Receiving Explanations for Unfamiliar Terms: You will be able to use the AI assistant to quickly understand and explain unfamiliar terms.
5) Optimizing Workflow: You will learn how to leverage the AI assistant's functions to improve your analysis, its efficiency, and thoroughness.
6) Learning about the Latest AI Assistant‘s Features and Updates: You will be introduced to the latest capabilities and updates of the AI assistant.

Have questions?

Simonaitė Ineta

phone +370 630 16595
email ineta.simonaite@ktu.lt

Start date: Organized upon forming a group

Duration: 4 ac. hrs.

Language: English, Lithuanian

Price: 45 Eur

Method of organisation: Distance learning, On-campus learning

Skill area: Advanced technologies, Digital transformation

Certificate: Issued

Teachers

Sukackė Vilma

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.