• DocumentCode
    2715650
  • Title

    Automated Marking System for Short Answer examination (AMS-SAE)

  • Author

    Aziz, Mohd Juzaiddin Ab ; Ahmad, Fatimah Dato ; Ghani, Abdul Azim Abdul ; Mahmod, Ramlan

  • Author_Institution
    Comput. Sci. Dept, Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • Volume
    1
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    47
  • Lastpage
    51
  • Abstract
    Short answers essay typed examination requires the students to write their answers in short sentences. Marking the short answers essay typed examination requires lecturers to compare the similarity of sentences from the answer scripts and marking scheme. Sentence similarity is defined as sentences that have similar meaning but they are different because of the words used or their construction structure. Automatic Marking System for Short Answers Examination (AMS-SAE) is a system that has been developed to grade students´ answers based on the given marking scheme. Marks are given to the essays based on the representation of the Grammatical Relations (GRs) extracted from the sentences. The average point different between the marks computed by AMS-SAE and human are 0.049, 0.028 and 0.18. The results show that the scores are low and AMS-SAE could award similar marks as the human awarded.
  • Keywords
    educational administrative data processing; natural language processing; text analysis; automated marking system; grammatical relations; sentence similarity; short answer examination; short answers essay typed examination; Application software; Computer science; Education; Failure analysis; History; Humans; Industrial electronics; Information technology; Testing; Writing; Malay sentences; grammatical relations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-4681-0
  • Electronic_ISBN
    978-1-4244-4683-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2009.5356500
  • Filename
    5356500