Automatically Grading Essays with Markit

نویسندگان

  • Robert Williams
  • Heinz Dreher
چکیده

Markit is an Automated Essay Grading (AEG) system capable of running on typical desktop PC platforms. Its performance compares favourably with human graders and with commercially available systems. A distinct advantage of Markit over existing commercial systems is that it requires only one model answer against which the student essays are compared. In this paper we report on a trial of Markit with second year law students’ essays.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Formative Assessment Visual Feedback in Computer Graded Essays

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...

متن کامل

Modeling Argument Strength in Student Essays

While recent years have seen a surge of interest in automated essay grading, including work on grading essays with respect to particular dimensions such as prompt adherence, coherence, and technical quality, there has been relatively little work on grading the essay dimension of argument strength, which is arguably the most important aspect of argumentative essays. We introduce a new corpus of ...

متن کامل

Automatically Assessing Free Texts

Evaluation of the content of free texts is a challenging task for humans. Automation of this process is largely useful in order to reduce human related errors. We consider one instance of the “free texts” assessment problems; automatic essay grading where the task is to grade student written essays automatically given course materials and a set of human-graded essays as training data. We use a ...

متن کامل

The Power of Normalised Word Vectors for Automatically Grading Essays

Latent Semantic Analysis, when used for automated essay grading, makes use of document word count vectors for scoring the essays against domain knowledge. Words in the domain knowledge documents and essays are counted, and Singular Value Decomposition is undertaken to reduce the dimensions of the semantic space. Near neighbour vector cosines and other variables are used to calculate an essay sc...

متن کامل

On the Effectiveness of Using Syntactic and Shallow Semantic Tree Kernels for Automatic Assessment of Essays

This paper is concerned with the problem of automatic essay grading, where the task is to grade student written essays given course materials and a set of humangraded essays as training data. Latent Semantic Analysis (LSA) has been used extensively over the years to accomplish this task. However, the major limitation of LSA is that it only retains the frequency of words by disregarding the word...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004