| CODE | DOC6070 | ||||||
| TITLE | Leveraging Generative AI for Data Analysis and Interpretation | ||||||
| UM LEVEL | D - Doctoral Workshops/Symposium | ||||||
| MQF LEVEL | Not Applicable | ||||||
| ECTS CREDITS | Not Applicable | ||||||
| DEPARTMENT | Doctoral School | ||||||
| DESCRIPTION | This workshop equips participants with the knowledge and skills to leverage Generative AI (GenAI) in the analysis phases of qualitative and quantitative research. Participants will explore AI-powered tools for data processing, statistical analysis, thematic coding, sentiment analysis, and data visualisation. The session includes practical demonstrations, hands-on exercises, and discussions on how to responsibly integrate AI into research while addressing ethical considerations, biases, and academic integrity. Participants will also gain insights into how Gen AI can assist in summarisation and pattern identification, enhancing the efficiency and accuracy of their research processes. The workshop subscribes to the European Research Area’s Living Guidelines on the Responsible Use of Generative AI in Research adopted by the University of Malta. Learning Outcomes: By the end of this workshop, participants will be able to: - Utilise AI tools for data analysis, including statistical computations, visualisation (e.g., charts, graphs), and thematic coding in both qualitative and quantitative research. - Apply Gen AI tools (e.g., ChatGPT, Gemini) to create custom Python scripts for statistical analysis and graphical visualisations of research data. - Employ AI-enhanced qualitative analysis software (e.g., QInsights, NVivo, MaxQDA) to conduct thematic analysis, generate visual representations (e.g., word clouds, thematic maps), and identify patterns in qualitative data. - Integrate AI-powered techniques into their research workflow while ensuring ethical compliance, recognising potential biases, and maintaining academic integrity. |
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| ADDITIONAL NOTES | Participants shall be asked to bring their laptops. Hands-on scenarios will be included but attendees will be encouraged to employ the GenAI tools introduced to their own area of specialisation. Timetable Details - Please click here for further details. |
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| STUDY-UNIT TYPE | Workshop | ||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Leonard Busuttil |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2025/6. It may be subject to change in subsequent years. |
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