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Online Automated Essay Grading System as a Web Based Learning (WBL) Tool in Engineering Education
Abstract
Automated Essay Grading (AEG) or Scoring (AES) systems are not more a myth they are reality. As on today, the human written (not hand written) essays are corrected not only by examiners / teachers also by machines. The TOEFL exam is one of the best examples of this application. The students’ essays are evaluated both by human & web based automated essay grading system. Then the average is taken. Many researchers consider essays as the most useful tool to assess learning outcomes, implying the ability to recall, organize and integrate ideas, the ability to supply merely than identify interpretation and application of data. Automated Writing Evaluation Systems, also known as Automated Essay Assessors, might provide precisely the platform we need to explicate many of the features those characterize good and bad writing and many of the linguistic, cognitive and other skills those underline the human capability for both reading and writing. They can also provide time-to-time feedback to the writers/students by using that the people can improve their writing skill. A meticulous research of last couple of years has helped us to understand the existing systems which are based on AI & Machine Learning techniques, NLP (Natural Language Processing) techniques and finding the loopholes and at the end to propose a system, which will work under Indian context, presently for English language influenced by local languages. Currently most of the essay grading systems is used for grading pure English essays or essays written in pure European languages. No one in today’s world can ignore the use of English in Engineering education. Better to tell in professional courses. All the Engineering branches or streams are normally supported with modern English and sometimes known as English-for-Engineers. This write-up focuses on the existing automated essay grading systems, basic technologies behind them and proposes a new framework to show that how best these AEG systems can be used for Engineering Education. E-learning has created the path of alternate education. Whereas the Web-based-learning (WBL) has made the path much easier. Use of AEG systems in a web based learning environment helps the students to know, use, and understand English much better than they used to do in normal classroom based study. Such kinds of AEG systems are very useful mainly for non-English spoken students, better to say – students whose mother tongue is not English. Normally found that English used by such students are influenced by local languages. Use of a AEG system will not only help students to write better English essay, score better in English and others subjects written in English.
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