In authors or contributors

4 resources

  • Owen Henkel, Hannah Horne-Robinson, Libb...
    |
    Oct 26th, 2023
    |
    preprint
    Owen Henkel, Hannah Horne-Robinson, Libb...
    Oct 26th, 2023

    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-established measure of foundational literacy, assessing it typically requires one-on-one sessions between a student and a trained evaluator, a process that is time-consuming and costly. Automating the evaluation of ORF could support better literacy instruction, particularly in education contexts where formative...

  • Zachary Levonian, Chenglu Li, Wangda Zhu...
    |
    Oct 29th, 2023
    |
    journalArticle
    Zachary Levonian, Chenglu Li, Wangda Zhu...
    Oct 29th, 2023

    For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process - including interactive QA to support conceptual discussion of mathematical concepts. However, LLM responses to math questions can be incorrect or mismatched to the educational context - such as being misaligned with a...

  • Zachary Levonian, Chenglu Li, Wangda Zhu...
    |
    Oct 29th, 2023
    |
    journalArticle
    Zachary Levonian, Chenglu Li, Wangda Zhu...
    Oct 29th, 2023

    For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process - including interactive QA to support conceptual discussion of mathematical concepts. However, LLM responses to math questions can be incorrect or mismatched to the educational context - such as being misaligned with a...

  • Zachary Levonian, Chenglu Li, Wangda Zhu...
    |
    Oct 4th, 2023
    |
    preprint
    Zachary Levonian, Chenglu Li, Wangda Zhu...
    Oct 4th, 2023

    For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process - including interactive QA to support conceptual discussion of mathematical concepts. However, LLM responses to math questions can be incorrect or mismatched to the educational context - such as being misaligned with a...

Last update from database: 29/10/2025, 17:15 (UTC)
Powered by Zotero and Kerko.