Online learning: Learner characteristics and their approaches to managing learning

Using cluster analysis this study investigated the characteristics of learning strategies learners use in online courses with one-on-one mentoring. Three distinct approaches were identified: “Mastery oriented”, “Task focused” and “Minimalist in effort”. Despite the widespread concern that students will have difficulty managing their time in online courses with high level of student freedom, this study found that the vast majority of learners were very effective in their learning strategies. The findings speak well for the potential of distance education environments to provide high quality self-paced learning, accommodating different learning strategies, which is difficult to do in group-paced courses. We further explored how these approaches relate to and interact with, participants’ background and their levels of satisfaction and self reported learning.

[1]  Thomas M. Duffy,et al.  Introduction: Theory and Practice in Distance Education , 2003 .

[2]  A. Parker.  A Study of Variables that Predict Dropout from Distance Education. , 1999 .

[3]  Thomas M. Duffy,et al.  Online teacher professional development: A learning architecture , 2006 .

[4]  Sasha A. Barab,et al.  Hypermedia navigation: Profiles of hypermedia users , 1997 .

[5]  Sasha A. Barab,et al.  Understanding kiosk navigation: Using log files to capture hypermedia searches , 1996 .

[6]  Richard H. Hall,et al.  A Navigational Analysis of Linear and Non-Linear Hypermedia Interfaces , 2000 .

[7]  Robert Tinker.  Free Model-Based Learning Resources , 2005 .

[8]  Nigel Ford,et al.  Individual differences, hypermedia navigation, and learning: an empirical study , 2000 .

[9]  B. McCombs,et al.  The Learner-Centered Classroom and School: Strategies for Increasing Student Motivation and Achievement. The Jossey-Bass Education Series. , 1997 .

[10]  Thomas M. Duffy,et al.  Learner-centered theory and practice in distance education : cases from higher education , 2003 .

[11]  E. Allen,et al.  Entering the Mainstream: The Quality and Extent of Online Education in the United State , 2004 .

[12]  Suzanne Hidi,et al.  Strategies for increasing text-based interest and students' recall of expository texts. , 1988 .

[13]  M. Aldenderfer.  Cluster Analysis , 1984 .

[14]  Curtis J. Bonk,et al.  Moderating Learner-Centered E-Learning: Problems and Solutions, Benefits and Implications , 2004 .

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

[16]  Peggy A. Ertmer,et al.  Online Professional Development , 2002 .

[17]  Bernie Dodge,et al.  WebQuests: A Technique for Internet-Based Learning. , 1995 .

[18]  A. Wise,et al.  The Effects of Teacher Social Presence on Student Satisfaction, Engagement, and Learning , 2004, ICLS.

[19]  Kimberly A. Lawless,et al.  Understanding Hypertext Navigation through Cluster Analysis , 1996 .

[20]  Ros Carnwell,et al.  Approaches to Study and their Impact on the Need for Support and Guidance in Distance Learning , 2000 .

[21]  Patricia A. Alexander,et al.  Domain knowledge: Evolving themes and emerging concerns. , 1992 .

[22]  Thomas M. Duffy,et al.  Online Teacher Professional Development and Implementation Success: The Learning to Teach with Technology Studio (LTTS) Experience , 2005 .

[23]  J. H. Ward.  Hierarchical Grouping to Optimize an Objective Function , 1963 .

[24]  Michael G. Moore,et al.  Handbook of distance education , 2007 .

[25]  Brett R. Fajen,et al.  Assessing Hypermedia Navigation through Pathfinder: Prospects and Limitations , 1996 .

[26]  Tim S. Roberts.  Online Collaborative Learning: Theory and Practice , 2003 .

[27]  Sasha A. Barab,et al.  The Effects of Navigational and Generative Activities in Hypertext Learning on Problem Solving and Comprehension , 1999 .

[28]  Patricia A. Alexander,et al.  Interrelationship of Knowledge, Interest, and Recall: Assessing a Model of Domain Learning , 1995 .

[29]  Curtis J. Bonk.  Online Training in an Online World. , 2002 .