In this paper we discuss a simple but comprehensive form of feedback to essay authors, based on a thesaurus and computer graphics, which enables the essay authors to see where essay content is inadequate in terms of the discussion of the essay topic. Concepts which are inadequately covered are displayed for the information of the author so that the essay can be improved. The feedback is automat...

Text coherence plays a key role in document quality assessment. Most existing text methods only focus on similarity of adjacent sentences. However, local exists sentences with broader contexts and diverse rhetoric relations, rather than just similarity. Besides, the highlevel is also an important aspect quality. To this end, we propose hierarchical model for In our model, implement attention me...

e-Learning has some restrictions on how learning performance is assessed. Online testing is usually in the form of multiple-choice questions, without any essay type of learning assessment. Major reasons for employing multiple-choice tasks in e-learning include ease of implementation and ease of managing learner's responses. To address this limitation in online assessment of learning, this study...

In EFL programs, rating scales used in writing assessment are often constructed by intuition. Intuition-based scales tend to provide inaccurate and divisive ratings of learners’ writing performance. Hence, following an empirical approach, this study attempted to develop a rating scale for elementary-level writing at an EFL program in Saudi Arabia. Towards this goal, 98 students’ essays were sco...

Automated scoring of written and spoken responses is an NLP application that can significantly impact lives especially when deployed as part of high-stakes tests such as the GRE® and the TOEFL®. Ethical considerations require that automated scoring algorithms treat all testtakers fairly. The educational measurement community has done significant research on fairness in assessments and automated...

Computational indices related to n-gram production were developed in order to assess the potential for n-gram indices to predict human scores of essay quality. A regression analyses was conducted on a corpus of 313 argumentative essays. The analyses demonstrated that a variety of n-gram indices were highly correlated to essay quality, but were also highly correlated to the number of words in th...

A survey of major systems for the automated assessment of free text answers is presented. This includes the Project Essay Grade (PEG), Intelligent Essay Assessor (IEA) which employs Latent Semantic Analysis (LSA), and Electronic Essay Rater (e-rater). All these systems have the same weakness in that they are unable to perform any assessment of text content. The word order is not taken into acco...