This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

The need to create more efficient approaches to teaching L2 writing has grown due to the increasing demands placed on English writing proficiency in a global setting. The present investigation aimed to explore the impacts of the ENGAGE Model and task-based language teaching (TBLT) method on Iranian EFL learners' overall L2 writing performance.…

Molenaar extended Mokken's original probabilistic-nonparametric scaling models for use with polytomous data. These polytomous extensions of Mokken's original scaling procedure have facilitated the use of Mokken scale analysis as an approach to exploring fundamental measurement properties across a variety of domains in which polytomous ratings are…

Although some assessment modes have proved successful, many learning problems encountered by low achieving learners need to be fixed by a more procedurally adequate remedial classroom assessment. Many EFL instructors adopt conventional and static modes of assessment rather than flexible and humanistic assessment modes. Hence, the study aims at…

Automated scoring models were trained and evaluated for the essay task in the "Praxis I"® writing test. Prompt-specific and generic "e-rater"® scoring models were built, and evaluation statistics, such as quadratic weighted kappa, Pearson correlation, and standardized differences in mean scores, were examined to evaluate the…

Raters of Georgia's (USA) state-mandated college-level writing exam, which is intended to ensure a minimal university-level writing competency, are trained to grade holistically when assessing these exams. A guiding principle in holistic grading is to not focus exclusively on any one aspect of writing but rather to give equal weight to style,…

The present study aimed at developing the memoir writing skills as a creative non-fiction genre of second year distinguished governmental language preparatory school pupils using the a WebQuest model. Fifty participants from second year at Hassan Abu-Bakr Distinguished Governmental Language School at Al-Qanater Al-Khairia(Qalubia Governorate) were…

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…

Rater behavior in essay grading can be viewed as a signal-detection task, in that raters attempt to discriminate between latent classes of essays, with the latent classes being defined by a scoring rubric. The present report examines basic aspects of an approach to constructed-response (CR) scoring via a latent-class signal-detection model. The…

Background: This study evaluated the impact on student's writing ability of a structured writing program, called "Writing Wings," for 3rd, 4th, and 5th graders developed by the Success For All Foundation (SFAF). Writing is a critical skill for success in school. Purpose: The study was intended to answer one confirmatory question,…

The aim of this study was to explore a method of improving the objectivity, reliability, and efficiency of scoring performance assessments that involve constructed written responses. Millman (1997) has suggested an alternative to using model responses at each score category. The proposed strategy, hypothesized to increase scorer reliability and…