Exploring Common Characteristics Among Community College Students: Comparing Online and Traditional Student Success

This study examines course entry characteristics of students in both the regular and online sections of an introductory computer class in a North Carolina community college. These characteristics are compared to student performance on a standardized final assessment, focusing on demographics, technology self-efficacy, and motivation. The research design used in this study utilized correlation analysis and stepwise multiple regression to determine if the independent variables might predict the dependent variable, student performance on a standardized final exam. The analysis revealed that neither demographics, technology, nor motivation could be used as predictors in the seated courses. Demographics could not be used as predictors in the online courses. Eleven technology and nine motivation factors were found to be significant in the online environment. The results of this study support the premise that technology self-efficacy and motivation play a role in a student’s ability to be successful in the online environment. As the use of the internet to deliver course material increases and the community college student continues to demand the flexibility and convenience of this mode of delivery, administrators and faculty in the community college environment must understand the factors that contribute to online student success.

[1]  Mesut Akdere,et al.  Distance Learning Roles and Competencies: Exploring Similarities and Differences between Professional and Student Perspectives , 2004 .

[2]  Lynda R. Ross,et al.  Relationships between Gender and Success in Distance Education Courses: A Preliminary Investigation. , 1990 .

[3]  Janet C. Moore,et al.  The Sloan Consortium , 2005 .

[4]  K. Meyer Quality in Distance Education: Focus on On-Line Learning. ASHE-ERIC Higher Education Report. Jossey-Bass Higher and Adult Education Series. , 2002 .

[5]  J. Buckenmeyer,et al.  Assessing Students for Online Learning , 2008 .

[6]  Mark Bullen,et al.  What’s the Difference: A Review of Contemporary Research on the Effectiveness of Distance Learning in Higher Education by Ronald Phipps and Jamie Merisotis , 1999 .

[7]  Stephen Provasnik,et al.  The Condition of Education 2004. NCES 2004-077. , 2004 .

[8]  J. Arbaugh An Exploratory Study of the Effects of Gender on Student Learning and Class Participation in an Internet-Based MBA Course , 2000 .

[9]  J. Overton As a matter of facts. , 1994, JEMS : a journal of emergency medical services.

[10]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[11]  S. Levy,et al.  Six Factors to Consider when Planning Online Distance Learning Programs in Higher Education , 2003 .

[12]  Shelia Y. Tucker,et al.  Assessing the Effectiveness of Distance Education versus Traditional On-Campus Education , 2000 .

[13]  I. E. Allen,et al.  Growing by Degrees: Online Education in the United States, 2005. , 2005 .

[14]  Badrul H. Khan,et al.  Toward a Learner-Oriented Community College Online Course Dropout Framework , 2007 .

[15]  Chong Ho Yu,et al.  Validation of the Online Technologies Self-Efficacy Scale (OTSES). , 2000 .

[16]  Michael D. Summers ERIC Review: Attrition Research at Community Colleges , 2003 .

[17]  I. E. Allen,et al.  Staying the course: online education in the United States, 2008 , 2008 .

[18]  Lynda R. Ross,et al.  Effects of Student Predisposing Characteristics on Student Success , 1990 .

[19]  Mark G. Urtel Assessing Academic Performance between Traditional and Distance Education Course Formats , 2008, J. Educ. Technol. Soc..

[20]  John R. Verduin,et al.  Distance Education: Its Effectiveness and Potential Use in Lifelong Learning. , 1989 .

[21]  Herbert E. Muse The Web-based community college student: An examination of factors that lead to success and risk , 2003, Internet and Higher Education.

[22]  S. Herring Gender differences in CMC: findings and implications , 2000 .

[23]  Rosemary J. Redfield,et al.  Does the medium change the message? The impact of a web-based genetics course on university students' perspectives on learning and teaching , 2002, Comput. Educ..

[24]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[25]  Barbara Means,et al.  Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies , 2009 .

[26]  P. Pintrich A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ). , 1991 .

[27]  Joseph Rene Corbeil Online technologies self-efficacy, self-directed learning readiness, and locus of control of learners in a graduate-level web-based distance education program , 2003 .

[28]  Hitendra Pillay,et al.  Developing a diagnostic tool for assessing tertiary students' readiness for online learning , 2006, Int. J. Learn. Technol..

[29]  J. D. Baker,et al.  Gender Differences in Online Learning: Sense of Community, Perceived Learning, and Interpersonal Interactions. , 2005 .

[30]  J. Day,et al.  Computer and Internet Use in the United States: 2003 , 2005 .

[31]  V. Osborn Identifying at‐risk students in videoconferencing and web‐based distance education , 2001 .

[32]  David F. Noble Digital Diploma Mills , 1998 .

[33]  M. DeTure,et al.  Cognitive Style and Self-Efficacy: Predicting Student Success in Online Distance Education , 2004 .

[34]  Brian Dille,et al.  Identifying Predictors of High Risk among Community College Telecourse Students , 1991 .

[35]  Predictors for Student Success in Online Education , 2003 .

[36]  Alana M. Halsne,et al.  Online versus Traditionally-Delivered Instruction: A Descriptive Study of Learner Characteristics in a Community College Setting. , 2002 .

[37]  T. Waits Distance Education at Degree-Granting Postsecondary Institutions: 2000-2001. E.D. Tabs. , 2003 .

[38]  Patricia Moore,et al.  Access and Success in Web Courses at an Urban Multicultural Community College: The Student's Perspective. , 2002 .

[39]  C. K. Lim Computer self‐efficacy, academic self‐concept, and other predictors of satisfaction and future participation of adult distance learners , 2001 .

[40]  Margaret Gorts Morabito Foundations of Distance Education. , 1997 .

[41]  Julie Hatfield,et al.  Avoiding confusion surrounding the phrase "correlation does not imply causation." [References] , 2006 .

[42]  Norman E. Wallen,et al.  How to Design and Evaluate Research in Education , 1990 .

[43]  Amy J. Wojciechowski,et al.  Individual Student Characteristics: Can Any Be Predictors Of Success In Online Classes? , 2005 .

[44]  Ronald A. Phipps,et al.  What''s the Difference? A Review of Contemporary Research on the Effectiveness of Distance Learning , 1999 .

[45]  Davis Jenkins,et al.  Building Pathways to Success for Low-Skill Adult Students: Lessons for Community College Policy and Practice from a Statewide Longitudinal Tracking Study. , 2005 .

[46]  David Kember,et al.  Open Learning Courses for Adults: A Model of Student Progress , 1995 .

[47]  Rosemarie Menager-Beeley,et al.  Student Success in Web Based Distance Learning: Measuring Motivation to Identify At Risk Students and Improve Retention in Online Classes , 2001, WebNet.

[48]  A. Colman,et al.  Comparing Rating Scales of Different Lengths: Equivalence of Scores from 5-Point and 7-Point Scales , 1997 .

[49]  A. P. Rovai In search of higher persistence rates in distance education online programs , 2003, Internet High. Educ..