Srinath, Prerana and Steuer, Max
ORCID: https://orcid.org/0000-0001-7638-5865
(2026)
Toward Research-Driven Public Law Education: The Role of Human-Centered Qualitative Coding amidst AI Normalization.
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Abstract
We examine the implementation of an assignment on systematic qualitative coding of resources on constitutional
courts’ resilience against erosion of democracy, in an Indian law school.
OBJECTIVE: How can interdisciplinary modes of assessments help reorient legal education towards democracy by bridging the two contemporary divides: between law and other social sciences and; between research and education in public law. AI has disrupted both the education and the legal fields; Coding-based assignments can introduce a successful break and promote skills that AI is unable to substitute for.
| Item Type: | Image |
|---|---|
| Uncontrolled Keywords: | Systematic qualitative coding | AI in Legal education | |
| Subjects: | Social Sciences and humanities > Social Sciences > Law and Legal Studies |
| Depositing User: | Mr. Syed Anas |
| Date Deposited: | 27 May 2026 10:25 |
| Last Modified: | 27 May 2026 10:25 |
| Official URL: | https://virtual.oxfordabstracts.com/event/76114/po... |
| URI: | https://pure.jgu.edu.in/id/eprint/11443 |
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