Factors Motivating the Adoption of e-Learning Technologies

This study uses expectancy theory in an experimental setting to explain student motivation in adopting e-Learning technology. Data gathered from 173 students, having classroom exposure to eLearning technologies, suggest that expectancy theory is appropriate for evaluating and understanding a student’s motivation to adopt an e-Learning technology. On average, students considered information acquisition as the most attractive outcome of an e-Learning technology. Further, empirical evidence suggests that e-Learning technology adoption is more likely to succeed 1) when the technology is perceived by students to be in their best interest, and 2) when students perceive that reasonable efforts will result in successful adoption.

[1]  Huaiqing Wang,et al.  Intelligent agent supported personalization for virtual learning environments , 2006, Decis. Support Syst..

[2]  Mark R. Wilson,et al.  Adaptive technology for e-learning: principles and case studies of an emerging field , 2007, J. Assoc. Inf. Sci. Technol..

[3]  Gerardine De Sanctis,et al.  Expectancy Theory as an Explanation of Voluntary Use of a Decision-Support System: , 1983 .

[4]  Scott B. Follows.  Virtual Learning Environments. , 1999 .

[5]  Terri L. Griffith.  Negotiating successful technology implementation a motivation perspective , 1996 .

[6]  Marilyn M. Helms,et al.  Developing the "Virtual" Classroom: A Business School Example. , 1997 .

[7]  Jill Turnbull,et al.  Transforming Learning Support: An Online Resource Centre for a Diverse Student Population , 2003 .

[8]  V. Vroom.  Work and motivation , 1964 .

[9]  P. Navarro,et al.  Performance and perceptions of distance learners in cyberspace , 2000 .

[10]  Yining Chen,et al.  Distance Learning Technology Adoption: A Motivation Perspective , 2002, J. Comput. Inf. Syst..

[11]  Varun Grover,et al.  An Application of Expectancy Theory for Assessing User Motivation to Utilize an Expert System , 1992, J. Manag. Inf. Syst..

[12]  Wilbert O. Galitz,et al.  The Essential Guide to User Interface Design: An Introduction to GUI Design Principles and Techniques , 1996 .

[13]  W. Harrod,et al.  Distance learning in a changing environment at Lucent Technologies , 1998 .

[14]  Richard W. Scamell,et al.  The Effects of Information System User Expectations on Their Performance and Perceptions , 1993, MIS Q..

[15]  Michael J. Stahl,et al.  Modeling effort decisions with behavioral decision theory: Toward an individual differences model of expectancy theory , 1981 .

[16]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[17]  Atta Badii,et al.  Factors mediating the routinisation of e-learning within a traditional university education environment , 2007, Int. J. Electron. Bus..

[18]  Caroline Ramsey,et al.  Using Virtual Learning Environments to Facilitate New Learning Relationships , 2003 .

[19]  D. Hancock.  What Teachers May Do to Influence Student Motivation: An Application of Expectancy Theory. , 1995 .

[20]  P. Taylor,et al.  Changing expectations: Preparing students for flexible learning , 2000 .

[21]  Insaf Abbas.  Distance Learning and New Technologies in Teaching and Learning English , 2009 .

[22]  Qing Li,et al.  Distance Learning in Hong Kong , 2006, Int. J. Distance Educ. Technol..

[23]  Dennis Murray,et al.  A Within-Subjects Test of Expectancy Theory in a Public Accounting Environment , 1986 .

[24]  Steven V. Campbell,et al.  Using Expectancy Theory to Assess Group‐Level Differences in Student Motivation: A Replication in the Russian Far East , 2003 .

[25]  R. McAleese.  Flexible learning in a digital world – experiences and expectations , 2003 .

[26]  Thurasamy Ramayah,et al.  An Empirical Investigation of the Course Website Acceptance Model (Cwam) , 2005 .

[27]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[28]  Nia Love,et al.  Accounting students' perceptions of a virtual learning environment: Springboard or safety net? , 2006 .

[29]  Uzoamaka P. Anakwe,et al.  DISTANCE LEARNING AND CULTURAL DIVERSITY: POTENTIAL USERS' PERSPECTIVE , 1999 .

[30]  Daniel Robey,et al.  User Attitudes and Management Information System Use , 1979 .

[31]  Paul Henry,et al.  E‐learning technology, content and services , 2001 .

[32]  Carlin Dowling,et al.  Do hybrid flexible delivery teaching methods improve accounting students' learning outcomes? , 2003 .

[33]  Patrick A. V. Hall.  Distance education and electronic networking , 1996 .

[34]  Aj Ramsden,et al.  Virtual Learning Environments , 2002 .

[35]  Pei-Chen Sun,et al.  The design of instructional multimedia in e-Learning: A Media Richness Theory-based approach , 2007, Comput. Educ..

[36]  Betty Collis,et al.  Flexible learning in a digital world: Experiences and expectations , 2001 .

[37]  A. M. Harrell,et al.  An Application of Expectancy Theory to Explain a Manager's Intention to Use a Decision Support System , 1994 .

[38]  Jeffrey R. Young,et al.  Rethinking the Role of the Professor in an Age of High-Tech Tools. , 1997 .

[39]  Steven Hornik,et al.  When Technology Does Not Support Learning: Conflicts Between Epistemological Beliefs and Technology Support in Virtual Learning Environments , 2007, J. Organ. End User Comput..

[40]  Earl Chrysler,et al.  Entry Level Value versus Career Value of Mis Courses: Faculty Expectations versus Alumni Perceptions , 2002, J. Comput. Inf. Syst..

[41]  Dasaratha V. Rama,et al.  Using Expectancy Theory to Assess Student Motivation: An International Replication , 1997 .

[42]  Christoph Hölscher,et al.  Web search behavior of Internet experts and newbies , 2000, Comput. Networks.

[43]  N. Ford,et al.  Gender differences in Internet perceptions and use , 1996 .

[44]  Themin Suwardy,et al.  Integrating a virtual learning environment into an introductory accounting course: determinants of student motivation , 2003 .

[45]  Alexander M. Maish.  A User's Behavior Toward His MIS , 1979, MIS Q..

[46]  Andy Frey,et al.  Student Perceptions of Web-Assisted Teaching Strategies , 2003 .