most citedCan Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 2 cited

Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education

Owen Henkel, Adam Boxer, Libby Hills +1

This paper presents reports on a series of experiments with a novel dataset evaluating how well Large Language Models (LLMs) can mark (i.e. grade) open text responses to short answ…

cs.CL2023

Using State-of-the-Art Speech Models to Evaluate Oral Reading Fluency in Ghana

Owen Henkel, Hannah Horne-Robinson, Libby Hills +2

This paper reports on a set of three recent experiments utilizing large-scale speech models to evaluate the oral reading fluency (ORF) of students in Ghana. While ORF is a well-est…

cs.CL2023

Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset

Owen Henkel, Libby Hills, Bill Roberts +1

Open-ended questions, which require students to produce multi-word, nontrivial responses, are a popular tool for formative assessment as they provide more specific insights into wh…