Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Automated essay scoring"”.
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DOMAIN ADAPTATION FOR AUTOMATED ESSAY SCORING
Automated Essay Scoring (AES) is an important task in Natural Language Processing. The research done by various commercial organizations has identi ed the features that correlate well with human scoring. They have built strong AES systems that achieve high agreement with human scoring based on …
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Extended many-facet Rasch models: Accounting for rater effects in automated essay scoring systems
… in supervised machine learning in the context of automated essay scoring (AES) systems. Specifically, we investigate approaches to identifying and accounting for systemic error by human raters which can lead to the training of AES systems on biased training labels, resulting in bias in the trained …
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A User-Centered Design Approach to Evaluating the Usability of Automated Essay Scoring Systems
… adoption of AI technology, such as ChatGPT, underscoring the need to design and evaluate these technologies with ethical considerations for their impact on students and teachers. Specifically, the rise of Automated Essay Scoring (AES) platforms have made it possible to provide real-time feedback …
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Automated Essay Evaluation Using Natural Language Processing and Machine Learning
<p>The goal of automated essay evaluation is to assign grades to essays and provide feedback using computers. Automated evaluation is increasingly being used in classrooms and online exams. The aim of this project is to develop machine learning models for performing automated essay scoring and …
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Using latent semantic analysis to detect non-cognitive variables of academic performance
… personality variables in post-secondary student essays. Determining student achievement based on non-cognitive variables is a complex process. Automated essay scoring tools are already in use today in grading and evaluating student texts based on cognitive domain traits, but at this time are not …
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Assessing text readability and quality with language models
… of corpora used for readability assessment or automated essay scoring (AES) by measuring the correlation between scores assigned by our metrics and human raters. According to the experimental results, our metrics are strongly correlated with text quality, which achieve 0.4-0.6 correlations on 7 …
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Neural approaches to discourse coherence: modeling, evaluation and application
… that state of-the-art neural approaches to automated essay scoring (AES) are not robust to adversarially created, grammatical, but incoherent sequences of sentences. Accordingly, I propose a framework for integrating and jointly training a coherence model with a state-of-the-art neural AES …
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Developing an AI Teacher Assistant: A Mixed Methods Study of Artificial Intelligence Scoring and Feedback Capabilities
… of the model to reliably score 56 released essays with official College Board scores; the AI-generated scores were compared to official scores using Cohen’s kappa and quadratic weighted kappa. Next, the four public high school AP English teachers participated in a 30-minute exploration of …