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❶Since you have already introduced your essay topic , you could straight into explaining your point and also give the necessary supporting facts that are relevant to the essay.

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Its objective is to classify a large set of textual entities into a small number of discrete categories, corresponding to the possible grades—for example, the numbers 1 to 6. Therefore, it can be considered a problem of statistical classification. Several factors have contributed to a growing interest in AES. Among them are cost, accountability, standards, and technology. Rising education costs have led to pressure to hold the educational system accountable for results by imposing standards.

The advance of information technology promises to measure educational achievement at reduced cost. The use of AES for high-stakes testing in education has generated significant backlash, with opponents pointing to research that computers cannot yet grade writing accurately and arguing that their use for such purposes promotes teaching writing in reductive ways i.

Using the technology of that time, computerized essay scoring would not have been cost-effective, [10] so Page abated his efforts for about two decades. By , desktop computers had become so powerful and so widespread that AES was a practical possibility.

As early as , a UNIX program called Writer's Workbench was able to offer punctuation, spelling, and grammar advice. IEA was first used to score essays in for their undergraduate courses. Its development began in It was first used commercially in February Currently utilized by several state departments of education and in a U. The intent was to demonstrate that AES can be as reliable as human raters, or more so.

Although the investigators reported that the automated essay scoring was as reliable as human scoring, [20] [21] this claim was not substantiated by any statistical tests because some of the vendors required that no such tests be performed as a precondition for their participation. Bennett, the Norman O. This last practice, in particular, gave the machines an unfair advantage by allowing them to round up for these datasets.

From the beginning, the basic procedure for AES has been to start with a training set of essays that have been carefully hand-scored. It then constructs a mathematical model that relates these quantities to the scores that the essays received. The same model is then applied to calculate scores of new essays.

Recently, one such mathematical model was created by Isaac Persing and Vincent Ng. It evaluates various features of the essay, such as the agreement level of the author and reasons for the same, adherence to the prompt's topic, locations of argument components major claim, claim, premise , errors in the arguments, cohesion in the arguments among various other features.

In contrast to the other models mentioned above, this model is closer in duplicating human insight while grading essays. The various AES programs differ in what specific surface features they measure, how many essays are required in the training set, and most significantly in the mathematical modeling technique.

Early attempts used linear regression. Modern systems may use linear regression or other machine learning techniques often in combination with other statistical techniques such as latent semantic analysis [28] and Bayesian inference.

Any method of assessment must be judged on validity, fairness, and reliability. It is fair if it does not, in effect, penalize or privilege any one class of people. It is reliable if its outcome is repeatable, even when irrelevant external factors are altered. How do you apportion your time?

Creating clear rubrics to guide students in what you desire for the finished paper takes time up-front but shortens the amount of time you will spend grading because your rubric becomes your grading criteria.

Spending your time telling students what they already know about their work is an inefficient use of time.

Require students to submit their work with a self-evaluation check sheet. Do not waste time on extensively marking grammar or punctuation. Teachers should remember that students often ignore comments on final graded work. Comments are most helpful on drafts or works-in-progress that allow the student to improve the work. On final papers, focus on making global suggestions that will benefit students' future work at writing. A tool for learning and assessment in college Second Edition.

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