Understanding the Intention to Use Technology by Preservice Teachers: An Empirical Test of Competing Theoretical Models

The proliferation of technology has provided educational institutions with opportunities to integrate technology into their curriculum. Technology acceptance refers to a user's willingness to employ information technology for the tasks it is designed to support. This study compared the four models (TRA, TPB, TAM, and integrated) to examine which model best helps to predict preservice teachers' intentions to use technology. Data were gathered from 429 preservice teachers from a teacher training institute in Singapore, and structural equation modeling was used to compare the four models in terms of overall model fit, explanatory power, and path significance. The results demonstrate that the models did not differ in explanatory power. Attitude as an independent variable was found to have the greatest impact on the intention to use technology.

[1]  Tapabrata Maiti,et al.  Principles and Practice of Structural Equation Modeling (2nd ed.) , 2006 .

[2]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[3]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[4]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[5]  A ToddPeter,et al.  Understanding Information Technology Usage , 1995 .

[6]  Felix B. Tan,et al.  The Relationship Between Mobile Service Quality, Perceived Technology Compatibility, and Users' Perceived Playfulness in the Context of Mobile Information and Entertainment Services , 2008, Int. J. Hum. Comput. Interact..

[7]  Paul van Schaik,et al.  Five Psychometric Scales for Online Measurement of the Quality of Human-Computer Interaction in Web Sites , 2005, Int. J. Hum. Comput. Interact..

[8]  Robert Andersson,et al.  Examining user acceptance of computer technology: an empirical study of student teachers , 2005, J. Comput. Assist. Learn..

[9]  Judy Drennan,et al.  Factors Affecting Student Attitudes Toward Flexible Online Learning in Management Education , 2005 .

[10]  Michel Ferrari,et al.  Computer-related attitudes and actions of teacher candidates , 2003, Comput. Hum. Behav..

[11]  I. Ajzen.  Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[12]  Dong Hee Shin,et al.  Understanding User Acceptance of DMB in South Korea Using the Modified Technology Acceptance Model , 2009, Int. J. Hum. Comput. Interact..

[13]  Bassam Hasan,et al.  Effects of interface style on user perceptions and behavioral intention to use computer systems , 2007, Comput. Hum. Behav..

[14]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[15]  E. Carmines,et al.  Analyzing models with unobserved variables: analysis of covariance structures , 1981 .

[17]  Kar Yan Tam,et al.  Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics , 2002, J. Manag. Inf. Syst..

[18]  E. Rogers,et al.  Diffusion of Innovations, 5th Edition , 2003 .

[19]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[20]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[21]  I. Ajzen.  Nature and operation of attitudes. , 2001, Annual review of psychology.

[22]  G. A. Marcoulides,et al.  An Introduction to Applied Multivariate Analysis , 2008 .

[23]  Timothy Teo,et al.  Modelling technology acceptance in education: A study of pre-service teachers , 2009, Comput. Educ..

[24]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[25]  G. Bohrnstedt,et al.  Social Measurement: Current Issues , 1981 .

[26]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[27]  Cheng-Chang Sam Pan,et al.  Students' Attitude in a Web-enhanced Hybrid Course: A Structural Equaadon Modeling Inquiry , 2003 .

[28]  Debbie L. Hahs-Vaughn,et al.  Combined longitudinal effects of attitude and subjective norms on student outcomes in a web-enhanced course: A structural equation modelling approach , 2007, Br. J. Educ. Technol..

[29]  Claudia Smarkola,et al.  Technology Acceptance Predictors among Student Teachers and Experienced Classroom Teachers , 2007 .

[30]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[31]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

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

[33]  J. Hair.  Multivariate data analysis , 1972 .

[34]  Anand Jeyaraj,et al.  A review of the predictors, linkages, and biases in IT innovation adoption research , 2006, J. Inf. Technol..

[35]  Cynthia K. Riemenschneider,et al.  Understanding it adoption decisions in small business: integrating current theories , 2003, Inf. Manag..

[36]  P. Lachenbruch.  Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[37]  Youngkyun Baek,et al.  What makes teachers use technology in the classroom? Exploring the factors affecting facilitation of technology with a Korean sample , 2008, Comput. Educ..

[38]  Timothy Teo,et al.  A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context , 2010, Interact. Learn. Environ..

[39]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[40]  M. Conner,et al.  Efficacy of the Theory of Planned Behaviour: a meta-analytic review. , 2001, The British journal of social psychology.

[41]  A. Adam.  Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[42]  E. Rogers.  Diffusion of Innovations , 1962 .

[43]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[44]  I. Ajzen.  The theory of planned behavior , 1991 .

[45]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..