Authors: Prof. S. A Nalawade, Rishabh Raj Shukla, Prachi Gurjar, Harsh Kumar, Harshvardhan Chavan
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With the onset of the technological revolution, the efficiency of the current manual systems has been improved drastically and the accuracy of the products produced are also increasing. The most affected of the fields from this technological change is Education. The combination of Education with technology has been coined as a new term of edtech. Assessment in the Education system plays a significant role in judging student performance. Humans are becoming more interested in using automated tools. Consequently, in the last few years, the use of automatic assessment methods in the education system and student response evaluation has increased significantly. There is currently no adequate evaluation mechanism for grading essays and short responses; the computer-based evaluation system only works for multiple-choice questions. For the past few decades, many researchers have been working on automated essay grading and short answer scoring, but evaluating an essay while taking into account all the criteria, such as the content\'s relevance to the prompt, the development of ideas, cohesion, and coherence, is still a difficult task. We examined the limits of the most recent studies and research trends while studying the Artificial Intelligence and Machine Learning approaches used to assess computerized essay grading. In this project, we have studied different uses of Machine Learning and how we can improve the efficiency of the Essay Scoring using AI and other algorithms. In this project we also aim to highlight the problems faced by teachers and the possible solution which could be designed to overcome the problem.
With the onset of the technological revolution, the efficiency of the current manual systems has been improved drastically and the accuracy of the products produced are also increasing.
The most affected of the fields from this technological change is Education. The combination of Education with technology has been coined as a new term of edtech.
One of the primary evaluation factors that teachers use to assess student achievement is essays. Due to the subjectivity of essay evaluation, teachers indicate that it takes a considerable amount of time.
Because of subjective nature of the essay variation in grades usually occurs. Solution to such problem is automatic essay evaluation.
The workload of teachers will be lessened, and there will be less variety in grades due to human variables, thanks to computerized essay evaluation.
An Essay Scoring system takes as input an essay written for a given prompt, and then assigns a numeric score to the essay reflecting its quality, based on its content, grammar, and organization, also reduces effort.
The primary aim of Essay Scoring system is to provide immediate scoring and diagnostic feedback for the students’ writings in order to motivate them to improve their writing proficiency on the topic.
Also Smart essay grading uses machine learning and artificial intelligence in psychometrics to speed up the tedious task of grading essays.
One of the difficulties of grading essays is the subjectivity, or at least the perceived subjectivity, of the grading process. Many researchers claim that the subjective nature of essay assessment leads to variation in grades awarded by different human assessors, which is perceived by students as a great source of unfairness.
The main motivation is to get unbiased result and also to lessen the teachers’ effort of marking too much essays.
With the onset of the technological revolution, India has immensely grown in the technological sector and we are trying to make maximum of our tasks online as it is easier to track as well as manage things digitally.
In this technological era, our education institutions have also shifted many of their tasks online which in turn has resulted in increased efficiency of work. The purpose of the Smart Essay Scoring system is, In comparison to human raters, the SES system is able to evaluate a vast number of essays effectively. And to get Reliable and High-Quality Result with unbiased result.
II. LITERATURE SURVEY
As per the literature review the present system of university management is done manually rather than using technology. This has some following pros and cons –
Table 1 – Pros and Cons of Present System
The current system is consisting of more manual tasks; thus, the chances of data breach
The current system as consists of more manual tasks it is more time consuming.
The current system is human dependent and
thus can use human intelligence.
The present system may involve human error.
The present system is flexible as we can make changes at any step, we find there is a problem, like increasing number of document for better
The cost of implementation will increase with increase in the number of document.
Thus, though the pros and cons weigh out to be equal. The cons are quite critical and can cause troubled situations in longer run.
Thus, the technology we plan to implement will reduce time, human error, the human effort and will make more accurate future predication thus reducing time, effort and cost while implementing the system.
The following table presents our basic findings from each paper which provides a direction to our idea.
Table 2 – Literature Survey
An automated essay scoring system: a systematic literature review
Dadi Ramesh & Kumar Suresh and Sanampudi
The proposed research work will go on the content-based assessmet of essays witdomain knowledge and find a score for the essays with internal and external consistency.
An overview of an automated essay grading systems on content and non-content based.
Ramesh Dadi, Syed Pasha,
Essay grading system are concentrating on style and sentence arrangement on statistical features using some machine learning models and some systems are working on content-based essay scoring .
Automated Essay Grading using Machine Learning Algorithm
V. V. Ramalingam, A Pandian, Prateek Chetry and Himanshu Nigam
This current approach tries to model the language features like language fluency, grammatical correctness, domain information content of the essays, and put an effort to fit the best polynomial in the feature space using linear regression.
III. SYSTEM ARCHITECTURE
Our main objective via this project is to bring ease in essay evaluation. Our motive is to get reliable and high-quality result. The idea behind our project is to get unbiased results.
Our project is divided into 3 parts-
IV. PROBLEM SOLUTION AND DATA FLOW
A list of some of the basic algorithms applied in the project are as follows –
The scope of our project is –
VII. UNIQUE FEATURES
This project and the research behind it would not have been possible without the exceptional support of our project guide, Prof. Subhash A Nalawade - HOD Information Technology. His enthusiasm, knowledge and attention to detail have been an inspiration and kept our work on track.
We are also grateful for the insightful comments offered by Prof. Sonali Patil – Project Coordinator Information Technology and Dr. L. K. Wadhawa Principal - Dr. DY Patil Institute of Technology for his constant support and motivation. The generosity and expertise of one and all have improved this study in innumerable ways and saved us from many errors.
This project has proposed real time solution for evaluation of the essays in an efficient way. So, we have successfully implemented our project where the user will pass the input and will get the evaluated result with checked spellings, vocabulary, grammatical mistakes etc. We have solved the problem of – 1) Manual evaluation complications. 2) Possibility Of biased results. 3) Assisting to Students preparing for competitive exams like TOEFL, GRE etc. Our solutions were – a) Implementation of integrated smart essay scoring. b) Ease in evaluation of long and difficult essays. c) Spell checks, Grammatical error check, Essay length, Overall scoring.
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