APS

2025 APS Annual Convention · 2025

Taaco-BERT: A Linguistically Interpretable Large Language Model for Essay Scoring in Educational Settings

Washington, DC · May 2025

Poster · Methodology

  • Heqiao Wang
    Michigan State University
  • Kevin Haudek
    Michigan State University
  • Shirley Vincent
    Vincent Evaluation Consulting, LLC
  • Caterina Azzarello
    University of Northern Colorado
  • Steven Anderson
    University of Northern Colorado

Abstract

We propose TAACO-BERT, integrating TAACO language measures with continuous pre-training and fine-tuning of BERT-based models on three educational datasets. This approach improves the models’ ability to capture linguistic features and knowledge construction, enhancing predictions for writing-based educational assessments.

Literacy

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