8 citations · 13 across the 6 of their papers we have counts for
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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★ 1 cited
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…
cs.CL2023
Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative Judgement
Owen Henkel, Libby Hills
Machine Learning models have many potentially beneficial applications in education settings, but a key barrier to their development is securing enough data to train these models. L…