• DocumentCode
    498391
  • Title

    A Student-Oriented Class-Course Timetabling Model with the Capabilities of Making Good Use of Student Time, Saving College Budgets and Sharing Departmental Resources Effectively

  • Author

    Hsu, Chin-Ming ; Chao, Hui-Mei

  • Author_Institution
    Dept. of Inf. Technol., Kao Yuan Univ., Taiwan
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    379
  • Lastpage
    384
  • Abstract
    This paper proposes a student-oriented class-course timetabling model to make good use of student time, save college budgets, and share departmental resources effectively. To achieve these goals, the study proposes a heuristic driven process coupled with two fitness functions to satisfy students´ needs for taking or retaking certain courses without delaying their graduation; the proposed method balances class sizes to decrease the number of elective courses opened to the students; and the research formulates the allocating rules for utilizing the classrooms and the laboratories to ensure that the resources can be shared effectively. From the experimental results, the minimum and maximum average satisfaction for all students´ needs is 0.8 and 0.9, respectively, where the lowest score is 0.7 and the highest score is 1. These results show that the difference of each student´s satisfaction is small and students´ expectations on taking specific subjects can be satisfied as nearly as possible.
  • Keywords
    educational courses; resource allocation; scheduling; college budget; departmental resource sharing; elective course; fitness function; heuristic driven process; student expectation; student satisfaction; student-oriented class-course timetabling model; Chaos; Delay effects; Education; Educational institutions; Humans; Information technology; Intelligent systems; Laboratories; Optimal scheduling; Resource management; Class-course timetabling; fitness function; heuristic driven process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.138
  • Filename
    5209403