Automatic Essay Assessor (AEA) is a system that utilizes information retrieval techniques such as Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (PLSA), and Latent Dirichlet Allocation (LDA) for automatic essay grading. The system uses learning materials and relatively few teacher-graded essays for calibrating the scoring mechanism before grading. We performed a series o...

In this report, we consider the task of automated assessment of English as a Second Language (ESOL) examination scripts written in response to prompts eliciting free text answers. We review and critically evaluate previous work on automated assessment for essays, especially when applied to ESOL text. We formally define the task as discriminative preference ranking and develop a new system train...

Traditional automated essay scoring systems rely on carefully designed features to evaluate and score essays. The performance of such systems is tightly bound to the quality of the underlying features. However, it is laborious to manually design the most informative features for such a system. In this thesis, we develop a novel approach based on recurrent neural networks to learn the relation b...

The essays on obesity in this issue frequently refer to the recent American Medical Association (AMA) declaration of obesity as a disease. In response to these essays, I describe and explore the significance of 'risk-factor medicalization' and how negative unintended consequences with this approach to disease modeling are exemplified in many of the essays. I also relate the essays' content to t...

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The learners’ ability to write a well-organized argumentative essay has gained prominence within the last decades. The multiple intelligences play a significant role in enhancing the precision of both language and thought during the writing process. The current study aimed at investigating the possible relationship between linguistic and logical intelligences and the frequency of informal falla...

In this study, the researcher used the many-facet Rasch measurement model (MFRM) to detect two pervasive rater errors among peer-assessors rating EFL essays. The researcher also compared the ratings of peer-assessors to those of teacher assessors to gain a clearer understanding of the ratings of peer-assessors. To that end, the researcher used a fully crossed design in which all peer-assessors ...

This research is an investigation of the relationship between the emotional intelligence of a group of Iranian English language learners and the coherence of the essays they produced. A 40-item TOEFL-type test of English proficiency including items on grammar, vocabulary, reading comprehension with the Cronbach’s alpha reliability of .742, was planned to identify the proficient candidates who c...

Considering the paramount importance of writing logical arguments for college students, this study investigated the effect of dynamic assessment (DA) of Toulmin model through teacher- and collective-scaffolding on argument structure and overall quality of argumentative essays of Iranian EFL university learners. In so doing, 45 male and female Iranian EFL learners taking part in the study were r...