IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-97-2902-9_9.html
   My bibliography  Save this book chapter

Measurement Model of CO-PO Attainment in Higher Education: A Simplified Approach

In: Data-Driven Decision Making

Author

Listed:
  • Sathish Pachiyappan

    (Christ University)

  • Mary Metilda Jayaraj

    (Christ University
    Dayananda Sagar College of Engineering)

  • V. Subhamathi

    (Bharath (Deemed to Be University))

  • Saravanan Vellaiyan

    (Christ University)

Abstract

The educational system in most countries are moving toward Outcome-Based Education (OBE) which is a student-centric teaching and learning methodology. The basic idea behind the adoption of OBE model is that the graduates should possess a sound knowledge in their respective disciplines and also have global mobility and acceptance. The Outcome-Based Education (OBE) should be based on the vision and mission of the institution. The institutions should clearly spell out the learning objectives of the program and course. The Course Outcome (CO), Program Outcome (PO), Program Specific Outcome (PSO) and Program Educational Objectives (PEO) determine clearly what the students are expected to accomplish, post their course or program respectively. This study aims to provide the simplified approach on assessment, evaluation and calculating the attainment levels of students through COs and POs in a management program. To assess the CO attainment for management courses, the authors have identified the subject “Entrepreneurship Development” offered in the first semester from the 2018–2020 batch of 60 students from the MBA program of an autonomous institute. The Course Outcome (CO) and Program Outcome (PO) are mapped with the Continuous Internal Assessments (CIA) and Semester Exam End (SEE) and thus the attainment levels of each CO are measured.

Suggested Citation

  • Sathish Pachiyappan & Mary Metilda Jayaraj & V. Subhamathi & Saravanan Vellaiyan, 2024. "Measurement Model of CO-PO Attainment in Higher Education: A Simplified Approach," Springer Books, in: Jeanne Poulose & Vinod Sharma & Chandan Maheshkar (ed.), Data-Driven Decision Making, chapter 0, pages 185-210, Springer.
    • Handle: RePEc:spr:sprchp:978-981-97-2902-9_9
    DOI: 10.1007/978-981-97-2902-9_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-97-2902-9_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.