Friday, May 11, 2012

GPA, Computer Skills, and Auditory Learning Styles: Student Characteristics Linked to Failed Persistence in Online Courses.


Harrell II and Bower (2010) studied the characteristics of students that predict persistence in community college online courses.  They identified a trio of three characteristics that predicted withdrawal or failure in online community college courses.  They utilized an online survey instrument that included the Barsch Learning Style Inventory, the Abbreviated Measure of Internal/External Locus of Control, and a computer experience scale.  The researchers utilized confirmatory factor analysis and exploratory factor analysis to support the validity of their instrument and Cronbach’s alpha coefficients (of each section) to determine support the reliability of their instrument.  This survey was distributed to a total population of 1,593 students in five community colleges in Florida.  Participation in the survey was voluntary.  544 survey responses were received, 225 were considered valid cases having met the criterion of the study (complete and having enrolled in an online course the semester previous).  The survey captured the following student characteristics: 

  • Demographics: gender, GPA (at the time the online course initiated), age, race, enrollment status, marital status, employment status, number of children, financial aid status
  • Learning Style (Barsch):  Auditory, Kinesthetic, Tactile, Visual
  • Internal/External Locus of Control
  • Experience with computers
  • Experience with online coursework

The researchers defined persistence as “whether or not a student completed the online course(s) in which he or she was enrolled during the previous semester.”  The researchers do not indicate if this information was provided by the institutions or by the students as part of the survey.

Harrell II and Bower utilized Stepwise Logistical Regression, ANOVA, and t-test analysis to isolate the characteristics that corresponded with students who did not persist in their online educational course(s) in the previous semester.  They tested both one-variable and three-variable models for fit, and determined that a three-variable model had the best fit.  Utilizing logistical regression analysis they determined that GPA, Auditory learning styles and computer skills were significant characteristics for predicting student persistence in online courses in community colleges.  Auditory learning style, and computer skills are negative predictors of online course persistence and GPA was a positive predictor of online course persistence.

As a result of their findings they recommend that community colleges identify students with who have a low entering GPA and are lacking basic computer skill as at risk for withdrawal (or failed persistence).  They suggest that community college provide supportive resources for those with a low GPA “to develop the academic skills necessary to perform well in their courses” and that these students be enrolled in a “student success course” preparing them for online courses.  They also suggest that community colleges increase the utilization of audio files, live chat sessions that accommodate audio, and streaming video to help promote learning for those students with an auditory learning style.  The researchers make no recommendations regarding addressing students’ who lack the basic computer skills necessary to be successful in the online courses, although it might be assumed that these needs would be addressed in the “student success course” recommended for students with a low GPA.

Harrell and Bower do an excellent job of exploring the available research on online education in community colleges; however, they do not explain the significance of the problem in this setting.  Why did they chose the community college setting, why persistence, and why in online courses?  They also do not describe what online coursework the students in this study were engaged in.  Was it entry level coursework, advanced, asynchronous, synchronous, credit or non-credit, open access, selective, etc. 

Unfortunately, the authors do not provide the information a practitioner would need to implement their recommendations.  For example, how do you know how judge if your program needs more auditory sensory information? How much auditory sensory information was used in the courses studied?  Would a “student success course” work for students attempting introductory coursework only or would it be applicable to complex or advanced coursework settings?  How do we know that a “student success course” intended to help them be successful in online coursework is the right focus? How do practitioners determine what the GPA cut off should be?  Would it be different for different programs? Might students with auditory learning, low GPAs, and poor computer skills be at risk in all of their classes?  Do we know if these students withdrew from predominately their online coursework?  Overall, Harrell and Bower research methods are solid and they provide a good foundation for further inquiry by both practitioners and researchers.

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