• DocumentCode
    2644488
  • Title

    Expert system for student advising using JESS

  • Author

    Nambiar, Arun N. ; Dutta, Anish K.

  • Author_Institution
    Dept. of Ind. Technol., California State Univ. - Fresno, Fresno, CA, USA
  • Volume
    1
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Abstract
    Student advising is one of the many critical service responsibilities that faculty have in academia. Often times, however, students have very similar questions about which courses to take, the sequence of courses, and deadlines. If programs have a striated system of student standings, this further confounds the students as they may not be eligible to take certain courses due to their current status in the program. Faculty also tend to be pressed for time with research, teaching and other committee responsibilities. This results in increased frustrations for both students and faculty alike. Expert systems are software applications that respond to use queries by analyzing data captured in knowledge systems. JESS is a Java-based rule engine and scripting environment that allows the development of such an expert system. In this work, we develop an expert system using JESS that allows students to seek quick responses to their queries regarding their plan of study and progress in the program. This expert system separates the rules from the execution thus enabling users to customize or extend the system by changing or updating the XML file that stores the rules.
  • Keywords
    Java; data analysis; educational administrative data processing; expert systems; knowledge acquisition; JESS; Java based rule engine; data analysis; expert system; knowledge system; scripting environment; student advising tool; student frustration; Irrigation; Java; XML; JESS; XML; student advising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational and Information Technology (ICEIT), 2010 International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8033-3
  • Electronic_ISBN
    978-1-4244-8035-7
  • Type

    conf

  • DOI
    10.1109/ICEIT.2010.5607701
  • Filename
    5607701