Student Behavior and Interaction Patterns with an LMS as Motivation Predictors in E-Learning Settings Articles uri icon

publication date

  • August 2010

start page

  • 463

end page

  • 470

issue

  • 3

volume

  • 53

international standard serial number (ISSN)

  • 0018-9359

electronic international standard serial number (EISSN)

  • 1557-9638

abstract

  • Student motivation is an important factor for the successful completion of an e-learning course. Detecting motivational problems for particular students at an early stage of a course opens the door for instructors to
    be able to provide additional motivating activities for these students.
    This paper analyzes how the behavior patterns in the interaction of
    each particular student with the contents and services in a learning
    management system (LMS) can be used to predict student motivation and if
    this student motivation can be used to predict the successful
    completion of an e-learning course. The interactions of 180 students of
    six different universities taking a course in three consecutive years
    are analyzed.