No published studies have sufficiently focused on essay topic writability from the perspective of college writers of the new millennium including native English speakers and ESL speakers. In this study, 500 college writers in Metro Toronto in Canada were interviewed to uncover if they found some essay topics easier than other topics. The results indicate that over 90% of them did. The interview...

An abstract is not available for this content. As you have access to content, full HTML content provided on page. A PDF of also in through the ‘Save PDF’ action button.

despite the crucial role of introductory sections in argumentative academic writing, the effects of genre- based approaches to writing introductory paragraphs have not been much explored yet. the present study aimed to investigate whether the provision of genre knowledge through modeling and non-modeling could enhance learners’ ability in writing introductory paragraphs of argumentative essays....

Grammatical error detection and automated essay scoring are two tasks in the area of automated assessment. Traditionally these tasks have been treated independently with different machine learning models and features used for each task. In this paper, we develop a multi-task neural network model that jointly optimises for both tasks, and in particular we show that neural automated essay scoring...

This study develops a model for essay scoring and article relevancy. Essay scoring is a costly process when we consider the time spent by an evaluator. It may lead to inequalities of the effort by various evaluators to apply the same evaluation criteria. Bibliometric research uses the evaluation criteria to find relevancy of articles instead. Researchers mostly face relevancy issues while searc...

Automated Essay Scoring has gained a wider applicability and usage with the integration of advanced Natural Language Processing techniques which enabled in-depth analyses of discourse in order capture the specificities of written texts. In this paper, we introduce a novel Automatic Essay Scoring method for Dutch language, built within the Readerbench framework, which encompasses a wide range of...

Existing software systems for automated essay scoring can provide NLP researchers with opportunities to test certain theoretical hypotheses, including some derived from Centering Theory. In this study we employ ETS's e-rater essay scoring system to examine whether local discourse coherence, as de ned by a measure of Rough-Shift transitions, might be a signi cant contributor to the evaluation of...

Automated essay scoring is one of the most important educational applications of natural language processing. Recently, researchers have begun exploring methods of scoring essays with respect to particular dimensions of quality such as coherence, technical errors, and relevance to prompt, but there is relatively little work on modeling organization. We present a new annotated corpus and propose...

Previous approaches for automated essay scoring (AES) learn a rating model by minimizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this paper, we argue that the current AES systems can be further improved by taking into account the agreement between human and machine raters. To this end, we propose a rankbased approach t...

End-to-end argument mining has enabled the development of new automated essay scoring (AES) systems that use argumentative features (e.g., number of claims, number of support relations) in addition to traditional legacy features (e.g., grammar, discourse structure) when scoring persuasive essays. While prior research has proposed different argumentative features as well as empirically demonstra...