A Survey on Automated Assessment Questions Generation System Using Supervised Algorithms

Abstract

Abstract: The only method for gauging the effectiveness of a teacher's lessons and the learning results of students is examination. Creating the questions and then randomly assigning them to the test are processes in the manual production of test papers. It takes a lot of time and effort to manually create test papers that match the standards of a good test paper. Mainly generating the test papers to evaluate the student technical skills is more time taking and the recruiters always want to know the students in better way by conducting the tests in the technical concepts. Our system helps in generating the questions automatically from the database which consists of the questions of the various technical concepts. To store the data and access the information from the database we are using MYSQL. To generate the test paper with the questions based on the skills known by the candidates we are using the classification algorithm like Naive Bayes Classifier, Random Forest Classifier and the Decision Tree. Naive Bayes, Random forest and Decision tree ,all are supervised algorithms. Giving the questions depending upon the candidate skills in the test paper will effectively evaluate the knowledge of the candidate in the skills that they know rather than testing their knowledge in completely unknown domain, the recruiters will also get the chance to know the candidate capabilities accurately and they can use the skills of the candidates in the better way and they can allocate the work to the candidates based on their performance in the particular skill. To know the performance of the candidate in the test , we have provided the graphical user interface (GUI) which was designed using the HTML and CSS concepts, where the questions are generated depending upon the classified results of the candidates.