(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 9, 2017 426 | Page www.ijacsa.thesai.org A Proposed Framework for Generating Random Objective Exams using Paragraphs of Electronic Courses Elsaeed E. AbdElrazek Department of Computer Preparing Teacher Dumyat University Dumyat, Egypt Abstract—Objective exams (OE) plays a major role in educational assessment as well as in electronic learning. The main problem in the traditional system of exams is a low quality of questions caused by some human factors, such as the traditional method for the development of the exam covers a narrow scope of curriculum topics. This does nothing for the separation of teaching process about the examination process. In this study we present a framework that generates three types of Objective exams questions (multiple choice questions (MCQ), true-false question (T/FQ), and complete Questions (CQ) from paragraphs of electronic course. The proposed framework consists of a lot of main stages, it uses both of the natural language processing (NLP) techniques to generate three types of questions (GFQ, T/FQ, and MCQ), and exam maker (EM), it uses the generated questions to produce the objective exams. The proposed system was evaluated by the extent of its ability to generate multiple objective questions. The questions that have been generated from the proposed system was presented to the three of the arbitrators specialists in the field of computer networks to express an opinion on the extent of their relationship to E-course and the accuracy of linguistic and scientific formulation. The results of the study showed an increase in the accuracy and number of the objective exams that were generated through the proposed system compared to the accuracy and number of the exams created by the traditional system this proves the efficiency of the proposed system. Keywords—Objective exams (OE); Applications Artificial Intelligence (AAI); Random Objective Exams Generation (ROEG) I. INTRODUCTION Style currently used in the preparation of the exam is a traditional style, which is dominated by the nature of the challenge it takes to be a professor of time and effort great in search and review content to create a single model of exam with test questions fit in with educational experiences and training activities for students. Electronic exams (E-exams) of the most prevalent methods of assessment for the purposes of both the evaluation to assess the learners’ ability to learn, and to assess the impact of the teaching capabilities of the instructor, and thus Evaluation significantly affect the improvement of learning outcomes. Exams play an important role in electronic evaluation, and provide an array of benefits for both the learner and the instructor [1]. The random objective exams generation (ROEG) depends on the questions as the main component of any exam. The task of composing exam questions is responsibility of the professor who collects their own exam bank in many forms to help them compose future exams. ROEG has one of the Applications Artificial Intelligence (AAI) that makes questions Banka electronic courses and extracts data from exams [2]. ROEG can help professors effectively evaluate student's acquisition of essential knowledge and skills thereby enabling professors to focus on more complex educational activities. On the other hand help student focus on the main topics in their study [3]. In this study, intelligent approaches to exam Generation from Paragraphs of electronic courses will be presented which generates three types of Objective exams questions (multiple choice questions (MCQ) which require students to select the correct response from several alternatives, true-false question (T/FQ) and complete Questions (CQ) to supply a word or short phrase). The following questions should be answered using this study: What stages design of a proposed framework to random objective exams generation (ROEG) from questions bank of electronic courses? How can a proposed framework be developed to help professors in generating objective exam from an E-Course? What are the most important used to evaluate the performance of the proposed Framework? The objectives of this study are: Reach to stages of preparing a framework proposal to random objective exams generation (ROEG) from paragraphs of electronic courses, Preparing subsystem to query into bank question of E-Course aimed at generating random for three types of questions (MCQ, T/FQ, CQ), Preparing subsystem to generate models of the exam includes random questions which represent the output of the previous subsystem. The following section will highlight the types of objective exam questions, the flow chart and stages of the Random Objective Exams Generation.