IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v41y2017icp423-433.html
   My bibliography  Save this article

Student satisfaction and commitment towards a blended learning finance course: A new evidence from using the investment model

Author

Listed:
  • Alshehri, Abdulrahman F.

Abstract

The present study uses an amended version of a well-known investment model to investigate the levels of satisfaction and commitment of finance students enrolled on a blended e-learning programme. First, it presents new empirical evidence for the validity of each construct and validates the proposed investment model. Second, it examines whether students’ grade point average (GPA) scores influence their levels of satisfaction and commitment the course. A random sample of 100 undergraduate students enrolled at King Khalid University in Saudi Arabia was surveyed using both qualitative and quantitative approaches. The proposed investment model was suitable for predicting the levels of student satisfaction and commitment in a blended learning environment, especially finance courses. However, the levels of satisfaction and commitment among students did not reach the proposed cut-off point for high commitment/satisfaction, which implied that levels of student satisfaction and commitment were only in the middle of the range. Specifically, the results showed a significant negative correlation between the level of satisfaction and GPA score, but a significant positive correlation between student commitment and GPA score. The study also highlights areas in which further research and analysis is recommended.

Suggested Citation

  • Alshehri, Abdulrahman F., 2017. "Student satisfaction and commitment towards a blended learning finance course: A new evidence from using the investment model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 423-433.
  • Handle: RePEc:eee:riibaf:v:41:y:2017:i:c:p:423-433
    DOI: 10.1016/j.ribaf.2017.04.050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531916302380
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2017.04.050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michelson, Stuart & Smith, Stanley D., 1999. "Applications of WWW technology in teaching finance," Financial Services Review, Elsevier, vol. 8(4), pages 319-328.
    2. Alan Farley & Ameeta Jain & Dianne Thomson, 2011. "Blended Learning in Finance: Comparing Student Perceptions of Lectures, Tutorials and Online Learning Environments Across Different Year Levels," Economic Papers, The Economic Society of Australia, vol. 30(1), pages 99-108, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chealy Chet & Serey Sok & Veasna Sou, 2022. "The Antecedents and Consequences of Study Commitment to Online Learning at Higher Education Institutions (HEIs) in Cambodia," Sustainability, MDPI, vol. 14(6), pages 1-43, March.
    2. Faisal Khalil-Ur-Rehman* & Muhammad Farooq & Tansholpan Bekmyrza & Waqar Younas & Valliappan Raju, 2018. "Investigating the Factors Impacting the Student Satisfaction With the Universities: A Comparative Study of Malaysia and Pakistan," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 117-126:2.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlos J. Asarta & James R. Schmidt, 2013. "Student Choices of Reduced Seat Time in a Blended Introductory Statistics Course," Working Papers 13-14, University of Delaware, Department of Economics.
    2. Ameeta Jain & Alan Farley, 2012. "Mobile Phone-Based Audience Response System and Student Engagement in Large-Group Teaching," Economic Papers, The Economic Society of Australia, vol. 31(4), pages 428-439, December.

    More about this item

    Keywords

    Satisfaction; Commitment; Blended learning; Investment model; Finance course;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • A29 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Other

    Statistics

    Access and download statistics

    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:eee:riibaf:v:41:y:2017:i:c:p:423-433. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.