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GenAI struggles to reliably mimic human grading in higher education, study finds

A new study suggests that current large language models (LLMs) are not yet capable of reliably mimicking human judgment in grading extended written assignments. The research indicates that GenAI struggles to reproduce the nuances of human assessment, which has significant implications for educational assessment practices and the use of AI in benchmarking grades. The findings highlight the limitations of existing LLMs in educational contexts. AI

IMPACT Highlights current limitations of GenAI in educational assessment, suggesting caution in its use for grading and benchmarking.

RANK_REASON The cluster contains a research paper discussing the capabilities of GenAI in educational assessment. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GenAI struggles to reliably mimic human grading in higher education, study finds

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Can GenAI be trained to mimic human markers of extended written assignments in higher education? "These findings suggest that current LLMs do not reliably repro

    Can GenAI be trained to mimic human markers of extended written assignments in higher education? "These findings suggest that current LLMs do not reliably reproduce human judgement in the marking of extended written work, with important implications for assessment practice and Ge…