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An Architecture For Dynamic E-Learning Environments Based On Student Activity And Learning Styles

Author

Listed:
  • John A. Kaliski
  • Queen E. Booker
  • Paul L. Schumann

Abstract

Using e-learning systems, computer assisted technologies, or learning management systems to supplement or replace the classroom experience is becoming more common in education. The use of these technologies generates a large volume of transactional data that record how each student progressed through the learning materials in the e-learning system. This data, which is currently underutilized, could be used to understand student learning behaviors, and to help both the instructor and the student benefit more from the course content. This paper describes an architecture using business intelligence methodology for using the data captured by e-learning systems to understand what students are doing (or not doing) in the e-learning system, and thereby to make changes that enhance student learning.

Suggested Citation

  • John A. Kaliski & Queen E. Booker & Paul L. Schumann, 2012. "An Architecture For Dynamic E-Learning Environments Based On Student Activity And Learning Styles," Business Education and Accreditation, The Institute for Business and Finance Research, vol. 4(2), pages 113-124.
    • Handle: RePEc:ibf:beaccr:v:4:y:2012:i:2:p:113-124
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    References listed on IDEAS

    as
    1. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information system use-related activity : An expanded behavioral conceptualization of individual-level information system use," Post-Print hal-02311855, HAL.
    2. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information system use-related activity : An expanded behavioral conceptualization of individual-level information system use," Post-Print hal-02312468, HAL.
    3. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use," Information Systems Research, INFORMS, vol. 18(2), pages 173-192, June.
    4. Margherita Pagani, 2006. "Determinants of adoption of High Speed Data Services in the business market : Evidence for a combined technology acceptance model with task technology fit model," Post-Print hal-02313097, HAL.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    E-learning; Learning Management Systems; Business Intelligence; Business Education; Business Education Research;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
    • Z00 - Other Special Topics - - General - - - General

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