Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education
Teaching social research methodology in university courses, whether qualitative or quantitative, presents significant challenges for both instructors and students. These challenges include the availability of empirical datasets, the illustration of data analysis techniques, the simulation of researc...
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MDPI AG
2025-06-01
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| Series: | Societies |
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| Online Access: | https://www.mdpi.com/2075-4698/15/6/157 |
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| author | Laura Arosio |
| author_facet | Laura Arosio |
| author_sort | Laura Arosio |
| collection | DOAJ |
| description | Teaching social research methodology in university courses, whether qualitative or quantitative, presents significant challenges for both instructors and students. These challenges include the availability of empirical datasets, the illustration of data analysis techniques, the simulation of research report writing, and the facilitation of scenario-based learning. Emerging AI tools, such as ChatGPT-4, offer potential support in higher education, though their effectiveness depends on the context and their integration with traditional didactic methods. This article explores the potential of AI in teaching social research methodology, with a focus on its benefits, limits and ethical considerations. Furthermore, the paper presents a case study of AI application in teaching qualitative research techniques, specifically in the analysis of solicited documents. Generative AI shows the potential to improve the teaching of social research methodology by providing students with opportunities to engage in hands-on learning, interact with realistic datasets and refine their analytical and communication skills. The integration of AI in education should, however, be approached with a critical mindset, ensuring that AI tools serve as a means to sharpen (not replace) traditional methods of learning. |
| format | Article |
| id | doaj-art-91cd5529bcd249178be6f3f396ed8c32 |
| institution | Kabale University |
| issn | 2075-4698 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Societies |
| spelling | doaj-art-91cd5529bcd249178be6f3f396ed8c322025-08-20T03:29:48ZengMDPI AGSocieties2075-46982025-06-0115615710.3390/soc15060157Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher EducationLaura Arosio0Department of Sociology and Social Research, University of Milano Bicocca, 20126 Milan, ItalyTeaching social research methodology in university courses, whether qualitative or quantitative, presents significant challenges for both instructors and students. These challenges include the availability of empirical datasets, the illustration of data analysis techniques, the simulation of research report writing, and the facilitation of scenario-based learning. Emerging AI tools, such as ChatGPT-4, offer potential support in higher education, though their effectiveness depends on the context and their integration with traditional didactic methods. This article explores the potential of AI in teaching social research methodology, with a focus on its benefits, limits and ethical considerations. Furthermore, the paper presents a case study of AI application in teaching qualitative research techniques, specifically in the analysis of solicited documents. Generative AI shows the potential to improve the teaching of social research methodology by providing students with opportunities to engage in hands-on learning, interact with realistic datasets and refine their analytical and communication skills. The integration of AI in education should, however, be approached with a critical mindset, ensuring that AI tools serve as a means to sharpen (not replace) traditional methods of learning.https://www.mdpi.com/2075-4698/15/6/157AI in educationteaching social research methodologyqualitative and quantitative methodsChatGPTdidactic practicesscenario-based learning |
| spellingShingle | Laura Arosio Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education Societies AI in education teaching social research methodology qualitative and quantitative methods ChatGPT didactic practices scenario-based learning |
| title | Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education |
| title_full | Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education |
| title_fullStr | Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education |
| title_full_unstemmed | Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education |
| title_short | Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education |
| title_sort | generative ai as a teaching tool for social research methodology addressing challenges in higher education |
| topic | AI in education teaching social research methodology qualitative and quantitative methods ChatGPT didactic practices scenario-based learning |
| url | https://www.mdpi.com/2075-4698/15/6/157 |
| work_keys_str_mv | AT lauraarosio generativeaiasateachingtoolforsocialresearchmethodologyaddressingchallengesinhighereducation |