Andrew Hoang
Biographic Data
| ID | 9722537 |
|---|---|
| NAME | Andrew Hoang |
| GIVEN NAMES | Andrew |
| FAMILY NAME | Hoang |
| SIGNATURE | HOANG A |
| AFFILIATIONS | ETS Research Institute |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Extracting interpretable writing traits from a large language model
Large language models (LLMs) are increasingly used to support automated writing evaluation (AWE), both for purposes of scoring and feedback. However, LLMs present challenges to interpretability, making it hard to evaluate the construct validity of scoring and feedback models. BIOT (best interpretable orthogonal transformations) is a new method of analysis that makes dimensions of an embedding interpretable by aligning them with external predictor…
Toward stealth assessment of reading comprehension
Reading comprehension is a critical skill that enables us to use text for learning, work, and pleasure. It is typically assessed through multiple choice or open-ended questions based on the text. In this article, we explore a novel machine-learning approach to assessing comprehension based on the properties of the text and of its oral reading that are known to be connected to comprehension. This method of assessing comprehension can potentially f…
No prominent works on this page.
Extracting interpretable writing traits from a large language model
Large language models (LLMs) are increasingly used to support automated writing evaluation (AWE), both for purposes of scoring and feedback. However, LLMs present challenges to interpretability, making it hard to evaluate the construct validity of scoring and feedback models. BIOT (best interpretable orthogonal transformations) is a new method of analysis that makes dimensions of an embedding interpretable by aligning them with external predictor…
Toward stealth assessment of reading comprehension
Reading comprehension is a critical skill that enables us to use text for learning, work, and pleasure. It is typically assessed through multiple choice or open-ended questions based on the text. In this article, we explore a novel machine-learning approach to assessing comprehension based on the properties of the text and of its oral reading that are known to be connected to comprehension. This method of assessing comprehension can potentially f…
Authorship Attribution and Profiling (1 work) · Cognitive and developmental aspects of mathematical skills (1 work) · Comprehension (1 work) · Educational Strategies and Epistemologies (1 work) · Interpretability (1 work) · Language model (1 work) · Mental Health via Writing (1 work) · Multidimensional scaling (1 work) · Reading aloud (1 work) · Reading and Literacy Development (1 work)