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…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

Evaluating the impact of Academic Literacies teaching (Lea and Street [1998. "Student Writing in Higher Education: An Academic Literacies Approach." "Studies in Higher Education" 23 (2): 157-72. doi:10.1080/03075079812331380364]) is difficult, as it involves gauging whether writers: (1) gain better understanding of what…

This study employed a mixed-methods approach to examine how rater performance develops during a semester-long rater certification program for an English as a Second Language (ESL) writing placement test at a large US university. From 2016 to 2018, we tracked three groups of novice raters (n = 30) across four rounds in the certification program.…

Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…

This paper proposes to use depth perception to represent raters' decision in holistic evaluation of ESL essays, as an alternative medium to conventional form of numerical scores. The researchers verified the new method's accuracy and inter/intra-rater reliability by inviting 24 ESL teachers to perform different representations when rating 60…

Many large-scale performance assessments include score resolution procedures for resolving discrepancies in rater judgments. The goal of score resolution is conceptually similar to person fit analyses: To identify students for whom observed scores may not accurately reflect their achievement. Previously, researchers have observed that…

Scoring rubrics are known to be effective for assessing writing for both testing and classroom teaching purposes. How raters interpret the descriptors in a rubric can significantly impact the subsequent final score, and further, the descriptors may also color a rater's judgment of a student's writing quality. Little is known, however, about how…

This study examined the rater severity of instructors using a multi-trait rubric in a freshman composition course offered in a private university in Kuwait. Use of standardized multi-trait rubrics is a recent development in this course and student feedback and anchor papers provided by instructors for each essay exam necessitated the assessment of…

When students present writing tasks that require higher order thinking skills to work, one of the most important problems is scoring these writing tasks objectively. The fact that raters give scores below or above their performance based on several environmental factors affects the consistency of the measurements. Inconsistencies in scoring…

This longitudinal study (2002-2014) investigates the stability of rating characteristics of a large group of raters over time in the context of the writing paper of a national high-stakes examination. The study uses one measure of rater severity and two measures of rater consistency. The results suggest that the rating characteristics of…

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be "trained" using machine-learning techniques that incorporate human ratings. However, the…

This study searched for open-source semantic similarity tools and evaluated their effectiveness in automated content scoring of fact-based essays written by English-as-a-Foreign-Language (EFL) learners. Fifty writing samples under a fact-based writing task from an academic English course in a Japanese university were collected and a gold standard…

In writing assessment, finding a valid, reliable, and efficient scale is critical. Appropriate scales, increase rater reliability, and can also save time and money. This exploratory study compared the effects of a binary scale and an analytic scale across teacher raters and expert raters. The purpose of the study is to find out how different scale…

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.…