OSF
open access
Measuring Academic Performance in Psychology in the Era of AI: The benefits of an oral viva in assessing undergraduate dissertations
Advances in artificial intelligence (AI), particularly large language models (LLMs), challenge psychology educators’ ability to assess students’ understanding and judgement through written coursework. We argue that this issue is especially acute for the compulsory empirical project required for Brit
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- What Gets in the Way of Language Supports in Secondary Schools? Using Qualitative Inquiry and Implementation Science as a Path Forward#221961
- AI literacy in K-12: a systematic literature review#199668
- THE ROLE OF AI IN SHAPING 21ST CENTURY ACADEMIC LITERACY#20963
- THE ROLE OF AI IN SHAPING 21ST CENTURY ACADEMIC LITERACY#20962
- Levelling the playing field: towards best practice in the doctoral viva.#169212
Record · ID 1180073
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive