Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…

Drawing parallels to classical test theory, this article clarifies the difference between rater accuracy and reliability and demonstrates how category marginal frequencies affect rater agreement and Cohen's kappa. Category assignment paradigms are developed: comparing raters to a standard (index) versus comparing two raters to one another…

The literature on Automated Essay Scoring (AES) systems has provided useful validation frameworks for any assessment that includes AES scoring. Furthermore, evidence for the scoring fidelity of AES systems is accumulating. Yet questions remain when appraising the scoring performance of AES systems. These questions include: (a) which essays are…

In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…

Ratings given to the same item response may have a stronger correlation than those given to different item responses, especially when raters interact with one another before giving ratings. The rater bundle model was developed to account for such local dependence by forming multiple ratings given to an item response as a bundle and assigning…

Valid and reliable measurement of unobserved latent variables is essential to understanding and improving education. A common and persistent approach to assessing latent constructs in education is the use of rater inferential judgment. The purpose of this study is to develop high-dimensional explanatory random item effects models designed for…

When good model-data fit is observed, the Many-Facet Rasch (MFR) model acts as a linking and equating model that can be used to estimate student achievement, item difficulties, and rater severity on the same linear continuum. Given sufficient connectivity among the facets, the MFR model provides estimates of student achievement that are equated to…

Across the nation, states and districts are in the process of building better teacher evaluation systems that not only identify highly effective teachers but also systematically provide data and feedback that can be used to improve teacher practice. The "Practical Guide to Designing Comprehensive Teacher Evaluation Systems" is a tool…

Prior research indicates that the overall reliability of performance ratings can be improved by using ordinary least squares (OLS) regression to adjust for rater effects. The present investigation extends previous work by evaluating the impact of OLS adjustment on standard errors of measurement ("SEM") at specific score levels. In…

In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…

Background: Since the late 1970s participatory approaches have been widely promoted to evaluate international development programs. However, there is no universal agreement of what is meant by participatory evaluation. For some evaluators, participatory evaluations involve the extensive participation of all stakeholder groups (from donor to…

Across the nation, states and districts are in the process of building better teacher evaluation systems that not only identify highly effective teachers but also systematically provide data and feedback that can be used to improve teacher practice. "A Practical Guide to Designing Comprehensive Teacher Evaluation Systems" is a tool…

An accepted criterion for gauging the fairness of examinees' scores, derived from judge-awarded ratings, has been the size of the correlation between the judges and the inter-rater reliability. Various means of achieving inter-rater reliability were reviewed, and a model to measure inter-rater reliability is forwarded. Both theoretical and…

This paper examines whether individuals who train themselves to score a performance assessment will rate acceptably when compared to known standards. Research on the efficacy of rater self-training materials developed by the Center for Applied Linguistics for the Texas Oral Proficiency Test (TOPT) is examined. Rater self-materials are described…