For predicting and improving the quality of essays, text analytic metrics (surface, syntactic, morphological, and semantic features) can be used to provide formative feedback to the students in higher education. In this study, the goal was to identify a sufficient number of features that exhibit a fair proxy of the scores given by the human raters…

One of the challenges in scoring constructed-response (CR) items and tasks is ensuring that rater drift does not occur during or across scoring windows. Rater drift reflects changes in how raters interpret and use established scoring criteria to assign essay scores. Calibration is a process used to help control rater drift and, as such, serves as…

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 article investigates the feasibility of using automated scoring methods to evaluate the quality of student-written essays. In 2012, Kaggle hosted an Automated Student Assessment Prize contest to find effective solutions to automated testing and grading. This article: a) analyzes the datasets from the contest -- which contained hand-graded…

This article presents an empirical evaluation of the validity and reliability of a peer-assessment activity to improve academic writing competences. Specifically, we explored a large group of psychology undergraduate students with different initial writing skills. Participants (n = 365) produced two different essays, which were evaluated by their…

Over the past two decades, reflective writing has occupied an increasingly prominent position in composition theory, pedagogy, and assessment as researchers have described the value of reflection and reflective writing in college students' development of higher-order writing skills, such as genre conventions (Yancey, "Reflection";…

The literature on using scoring rubrics in writing assessment denotes the significance of rubrics as practical and useful means to assess the quality of writing tasks. This study tries to investigate the agreement among rubrics endorsed and used for assessing the essay writing tasks by the internationally recognized tests of English language…

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…

Rater scoring has an impact on writing test reliability and validity. Thus, there has been a continued call for researchers to investigate issues related to rating (Crusan, 2015). Investigating the scoring process and understanding how raters arrive at particular scores are critical "because the score is ultimately what will be used in making…

To determine the impacts of using ChatGPT to assist English as a foreign language (EFL) English college majors in revising essays and the possibility of leading to higher scores and potentially causing unfairness. A prospective, double-blinded, paired-comparison study was conducted in Feb. 2023. A total of 44 students provided 44 original essays…

To capitalize on professional expertise in educational assessment, it is desirable to develop and test methods of rater-mediated assessment that enable classroom teachers to make reliable and informative judgments. Accordingly, this article investigates the reliability of a two-stage method used by classroom teachers to assess primary school…

This article presents a novel method, the Complex Dynamics Essay Scorer (CDES), for automated essay scoring using complex network features. Texts produced by college students in China were represented as scale-free networks (e.g., a word adjacency model) from which typical network features, such as the in-/out-degrees, clustering coefficient (CC),…

These guidelines describe considerations relevant to the assessment of test takers in or across countries or regions that are linguistically or culturally diverse. The guidelines were developed by a committee of experts to help inform test developers, psychometricians, test users, and test administrators about fairness issues in support of the…

This study employed a mixed-design approach and the Many-Facet Rasch Measurement (MFRM) framework to investigate whether rater bias occurred between the onscreen scoring (OSS) mode and the paper-based scoring (PBS) mode. Nine human raters analytically marked scanned scripts and paper scripts using a six-category (i.e., six-criterion) rating…