2 citations · 3 across the 3 of their papers we have counts for
4 papers
Seeing the Big Picture: Evaluating Multimodal LLMs' Ability to Interpret and Grade Handwritten Student Work
Owen Henkel, Bill Roberts, Doug Jaffe +1
Recent advances in multimodal large language models (MLLMs) raise the question of their potential for grading, analyzing, and offering feedback on handwritten student classwork. Th…
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…
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…
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…