Automated test paper generation using utility based agent and shuffling algorithm

被引:6
|
作者
Abd El Rahman S. [1 ,2 ]
Zolait A.H. [3 ]
机构
[1] Electrical Engineering Department, Benha University, Cairo
[2] Princess Nourah Bint Abdulrahman University, Riyadh
[3] University of Bahrain, Sakhir
关键词
Automated Software; Knowledge Base; Shuffling Algorithm; Test Paper Generation; Utility-Based Agent;
D O I
10.4018/IJWLTT.2019010105
中图分类号
学科分类号
摘要
This article describes how with the advent of computer-based technology, there is movement from manual to automated systems for different aspects of the education system. Testing is an essential part of teaching process that helps academics in classifying the level of students and evaluating the outcomes of their teaching process. The testing process requires a large amount of attention and professionalism. Automated Test Paper Generation is a system applying the shuffling algorithm in designing different sets of questions without repetition and duplication. It helps the faculty in developing and designing exams with a particular level of difficulty required in evaluating the students by using the utility-based agent. The system includes a knowledge base of many questions' types that are linked to a test engine where the faculty can specify the type and the difficulty level of the exam and then the system will assemble the exam and produce the output as electronic or paper-based. Questions will be picked randomly from the knowledge database. This automated system provides cost saving and time efficient solutions. Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
引用
收藏
页码:69 / 83
页数:14
相关论文
共 50 条
  • [21] Application of Improved Genetic Algorithm in Automatic Test Paper Generation
    Zhang, Kui
    Zhu, Lingchen
    2015 CHINESE AUTOMATION CONGRESS (CAC), 2015, : 495 - 498
  • [22] Hunting Algorithm and Application in Auto-generation of Test Paper
    He Fu-Nan
    Chen Shu-Yue
    Shi Guo-Dong
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 1896 - +
  • [23] Collective Biobjective Optimization Algorithm for Parallel Test Paper Generation
    Minh Luan Nguyen
    Hui, Siu Cheung
    Fong, Alvis C. M.
    PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015, : 418 - 424
  • [24] Automated Case Generation Using a Genetic Algorithm
    Borck, Hayley
    Boddy, Mark
    PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION), 2017, : 187 - 188
  • [25] On using genetic algorithm for test generation
    Brik, M
    Raik, J
    Ubar, R
    Ivask, E
    BEC 2004: Proceeding of the 9th Biennial Baltic Electronics Conference, 2004, : 233 - 236
  • [26] Design of Intelligent Political Test Paper Generation Method Based on Improved Intelligent Optimization Algorithm
    Wan, Qing
    EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2024, 11 (05): : 12 - 13
  • [27] Automated Test Case Generation and Its Optimization for Path Testing Using Genetic Algorithm and Sampling
    Mohapatra, Debasis
    Bhuyan, Prachet
    Mohapatra, Durga P.
    2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I, 2009, : 643 - +
  • [28] The Automated Generation of Test Cases using an Extended Domain Based Reliability Model
    Avritzer, Alberto
    Weyuker, Elaine J.
    2009 ICSE WORKSHOP ON AUTOMATION OF SOFTWARE TEST, 2009, : 44 - +
  • [29] Automated Test Data Generation Based on a Genetic Algorithm with Maximum Code Coverage and Population Diversity
    Avdeenko, Tatiana
    Serdyukov, Konstantin
    APPLIED SCIENCES-BASEL, 2021, 11 (10):
  • [30] Work in progress paper: Utility Based Clustering Algorithm for VANET
    Chai, Rong
    Ge, Xianlei
    Hu, Xun
    Yang, Bin
    2014 9TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM), 2014, : 187 - 190