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Data · dataset · 2026

AI in legal Education

Listed in Teesside University Research Data Repository

Description

Research Questions: •What are the perceived benefits and limitations of Generative AI in completing legal academic tasks? •How does Generative AI affect the quality of legal research and academic writing produced by YSJ Law students? •How can YSJ Law School foster responsible use of AI tools while maintaining academic integrity? This study adopts a quantitative Approach. Survey was conducted to gather data on the frequency, purposes, and perceived impact of Generative AI usage.

The research focuses on law students enrolled at YSJ Law School across various academic years. An online questionnaire was distributed to the identified group of YSJ Law students to gather quantitative data. The analysis is based on 103 survey responses.

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The sample skews heavily toward Level 4 students (76.7%), limiting generalizability to advanced students. Response options appear to have used a truncated 1-4-5 scale for familiarity rather than a full 1-5 scale, which may affect interpretation. All percentage calculations exclude missing values where applicable.

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/7mrghm2bh4.117 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:field:390303mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Higher Education']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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