Data for study - LLMS curricula and syllabuses
<p>The aim of this study is to analyze the ability of the LLM to generate curricula for education programs and syllabuses for specific courses at HEIs level. Four solutions providing LLM functionality were tested: GPT-3.5, GPT-4, Bard and Gemini.</p> <p>The dataset contains the following elements:</p> <ul> <li>comparison of curricula generated by models with existing curricula for two fields of study: Management and Economics (at economic universities in Poland) - Polish and English language versions</li> <li>comparison of syllabuses generated by models with existing syllabuses at economic universities in Poland (4 courses for 2 fields of study) - Polish and English language versions</li> </ul>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0