Transactional Distance as a Predictor of Perceived Learner Satisfaction in Distance Learning Courses: A Case Study of Bachelor of Education Arts Program, University of Nairobi, Kenya

There is a long history of study and recognition of the critical role of interaction in supporting and even defining distance education. Interaction has been identified as key to the success of distance learning. It is key in fostering, supporting and engaging in the learning process. Moore (1989) posits that the physical distance that exists in e-learning courses between the teacher and the students may result in a psychological and communicational gap between them. Such a gap will often impede the ability of the teacher and his or her students to achieve the desired level of understanding among them. In the light of this, teachers and students participating in distance-learning courses will generally require “special” behavioral patterns, which are designed to overcome the communication gaps resulting from the transactional distance. This study examined three key distances experienced by students enrolled in distance learning courses as predictors of perceived learner satisfaction. Through a survey analysis, the study sought to answer 3 key questions - to what extent is Leaner-Leaner Transactional Distance (LLTD) predictive of students’ perceived satisfaction (SPS) with a Distance Education (DE) course? Is Learner-Teacher Transactional Distance (LTTD) a predictor of students perceived satisfaction with the DE course? To what extent does Learner-Content Transactional Distance (LCTD) serve as a predictor of perceived learner satisfaction with a DE course? Subjects constituted of a random sample of 168 students enrolled for a Bachelor of education program in 2013 at the University of Nairobi, Kenya. A survey questionnaire measured the predictive constructs of the study namely, Learner-Learner Transactional Distance (LLTD), Learner-Teacher Transactional Distance (LTTD) and Learner-Content Transactional Distance (LCTD). Students’ perceived satisfaction (SPS) was measured by use of a ten item Likert scale instrument. Results of the study indicated the three variables were key predictors of students’ perceived satisfaction with DE courses.

[1]  Andrea Solimeno,et al.  The influence of students and teachers characteristics on the efficacy of face-to-face and computer supported collaborative learning , 2008, Comput. Educ..

[2]  J. M. Cortina,et al.  What Is Coefficient Alpha? An Examination of Theory and Applications , 1993 .

[3]  Yau Jane Chen,et al.  Transactional Distance in World Wide Web Learning Environments , 2001 .

[4]  Greg Kearsley,et al.  Online Education: Learning and Teaching in Cyberspace , 1999 .

[5]  M. Kostina,et al.  Exploration of student perceptions of autonomy, student-instructor dialogue and satisfaction in a web-based distance Russian language classroom: A mixed methods study , 2011 .

[6]  Marley Belair,et al.  The Investigation of Virtual School Communications , 2012 .

[7]  Namin Shin.  Beyond Interaction: The relational construct of 'Transactional Presence' , 2002 .

[8]  Karen Swan,et al.  Virtual interaction: Design factors affecting student satisfaction and perceived learning in asynchronous online courses , 2001 .

[9]  María Cristina Madoz,et al.  Distance education. A system view by Michael Moore - Greg Kearsley Wadsworth Publishing Company , 2002 .

[10]  Maryam Alavi,et al.  Computer-Mediated Collaborative Learning: An Empirical Evaluation , 1994, MIS Q..

[11]  L. Davis,et al.  Comparison of student outcomes and preferences in a traditional vs. World Wide Web-based baccalaureate nursing research course. , 2000, The Journal of nursing education.

[12]  V. A. Thurmond,et al.  Evaluation of Student Satisfaction: Determining the Impact of a Web-Based Environment by Controlling for Student Characteristics , 2002 .

[13]  W Revelle,et al.  Hierarchical Cluster Analysis And The Internal Structure Of Tests. , 1979, Multivariate behavioral research.

[14]  Yau-Jane Chen,et al.  Dimensions of transactional distance in the world wide web learning environment: a factor analysis , 2001, Br. J. Educ. Technol..

[15]  M. Moore,et al.  Distance education: a system view , 1996 .

[16]  Guglielmo Trentin.  Computer Conferencing Systems as Seen by a Designer of Online Courses. , 1998 .

[17]  D. Garrison,et al.  Methodological Issues in the Content Analysis of Computer Conference Transcripts , 2007 .

[18]  Sally Szydlo,et al.  Seven Principles of Good Practice: A FEEDS Evaluation Based on Seven Principles of Good Practice in Undergraduate Education, by Arthur W. Chickering and Zelda F. Gamson (1987). Arlene Gault, Director - Florida Engineering Education Delivery System SSOC Subcommittee member , 2002 .

[19]  Robin Mason,et al.  Factors affecting students' satisfaction on a web course , 2000 .

[20]  Farhad Saba,et al.  Verifying Key Theoretical Concepts in a Dynamic Model of Distance Education. , 1994 .

[21]  S. C. Ehrmann.  IMPLEMENTING THE SEVEN PRINCIPLES: Technology as Lever , 2004 .

[22]  J. Dewey.  Democracy and education : an introduction to philosophy of education / John Dewey , 1916 .

[23]  M. Moore.  The Theory of Transactional Distance , 2012, Handbook of Distance Education.

[24]  Terry Anderson,et al.  Modes of Interaction in Distance Education: Recent Developments and Research Questions , 2003 .

[25]  Namin Shin.  Transactional Presence as a Critical Predictor of Success in Distance Learning , 2003 .

[26]  Antje Strauss,et al.  Theory And Practice Of Distance Education , 2016 .

[27]  Barbara A. Frey,et al.  Student satisfaction with the Online MLIS Program at the University of Pittsburgh , 2004 .

[28]  David Starr-Glass,et al.  Military Learners: Experience in the Design and Management of Online Learning Environments , 2011 .

[29]  Börje Holmberg,et al.  The evolution of the character and practice of distance education , 1995 .

[30]  G. Kearsley,et al.  Structural Issues in Distance Education , 1996 .

[31]  Terry Anderson,et al.  Empirical Research on Learners' Perceptions: Interaction Equivalency Theorem in Blended Learning , 2010 .

[32]  Robyn Benson,et al.  Addressing the context of e‐learning: using transactional distance theory to inform design , 2009 .

[33]  Mike Moore,et al.  Distance Education: A Systems View , 1995 .

[34]  J. Nunnally.  Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[35]  M. Moore.  Learner Autonomy: The Second Dimension of Independent Learning. , 1972 .

[36]  D. Keegan,et al.  Three Types of Interaction , 2013 .

[37]  Tekeisha Zimmerman,et al.  Exploring Learner to Content Interaction as a Success Factor in Online Courses , 2012 .

[38]  Whitney Bischoff,et al.  Transactional distance, interactive television, and electronic mail communication in graduate public health and nursing courses: Implications for professional education , 1993 .

[39]  Rena M. Palloff,et al.  Lessons from the Cyberspace Classroom: The Realities of Online Teaching , 2001 .

[40]  Muthu Kumar,et al.  Educational Technology , 2019, Lean in the Classroom.

[41]  V. A. Thurmond.  Examination of Interaction Variables as Predictors of Students' Satisfaction and Willingness to Enroll in Future Web-Based Courses While Controlling for Student Characteristics , 2003 .

[42]  Garry Falloon,et al.  Making the Connection , 2011 .

[43]  S. Merriam.  What Can You Tell from an N of 1?: Issues of Validity and Reliability in Qualitative Research. , 1995 .