The behavioral intentions of Hong Kong primary teachers in adopting educational technology

The use of educational technology by Hong Kong primary school teachers has been realized by the government’s long-term support to the technology infrastructure, professional training, technical support, and development of teaching resources in local primary schools. However, the high adoption rate may not reflect the willingness of teachers to accept technology for educational purposes. Presently, there is no existing research investigating in-service primary teachers’ technology acceptance in Hong Kong. The aim of this study is to investigate teachers’ acceptance of technology and the influencing factors behind their acceptance. This study takes a quantitative approach to investigate 185 primary teachers in Hong Kong using Structural Equation Modeling on a customized Technology Acceptance Model. The results suggest that contrary to common belief, perceived ease of use and perceived usefulness of the technology have little influence on behavioral intention of use in our research context. Rather, a pragmatic consideration of facilitating conditions is found to be a strong dominating factor. A context-specific interpretation of the results is provided. Implications on school policy are also discussed to provide insights for the development of educational technology.

[1]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

[2]  Ismail Sahin,et al.  ICT teacher training: Evidence for multilevel evaluation from a national initiative , 2009, Br. J. Educ. Technol..

[3]  Thomas A. Brush,et al.  Integrating technology into K-12 teaching and learning: current knowledge gaps and recommendations for future research , 2007 .

[4]  Timothy Teo,et al.  Factors influencing teachers' intention to use technology: Model development and test , 2011, Comput. Educ..

[5]  Peggy A. Ertmer.  Teacher pedagogical beliefs: The final frontier in our quest for technology integration? , 2005 .

[6]  D. Chan.  Hardiness and its role in the stress–burnout relationship among prospective Chinese teachers in Hong Kong , 2003 .

[7]  Joan E. Hughes,et al.  The Role of Teacher Knowledge and Learning Experiences in Forming Technology-Integrated Pedagogy , 2005 .

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

[9]  A. Alenezi,et al.  An Empirical Investigation into the Role of Enjoyment, Computer Anxiety, Computer Self-Efficacy and Internet Experience in Influencing the Students' Intention to Use E-Learning: A Case Study from Saudi Arabian Governmental Universities , 2010 .

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

[11]  Timothy Teo,et al.  Unpacking teachers' acceptance of technology: Tests of measurement invariance and latent mean differences , 2014, Comput. Educ..

[12]  Dominik Petko,et al.  Teachers' pedagogical beliefs and their use of digital media in classrooms: Sharpening the focus of the 'will, skill, tool' model and integrating teachers' constructivist orientations , 2012, Comput. Educ..

[13]  Chun-Chieh Wang,et al.  An empirical study of instructor adoption of web-based learning systems , 2009, Comput. Educ..

[14]  Kamal Basha Madarsha,et al.  Faculty's acceptance of computer based technology: Cross-validation of an extended model , 2010 .

[15]  James H. Steiger,et al.  Understanding the limitations of global fit assessment in structural equation modeling , 2007 .

[16]  Nicolae Nistor,et al.  Towards the integration of culture into the Unified Theory of Acceptance and Use of Technology , 2014, Br. J. Educ. Technol..

[17]  Magid Igbaria,et al.  The effects of self-efficacy on computer usage , 1995 .

[18]  B. Cope,et al.  Literacies: Approaches to Literacies , 2012 .

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

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

[21]  Yves Rosseel,et al.  lavaan: An R Package for Structural Equation Modeling , 2012 .

[22]  Elizabeth K. Wilson,et al.  From Preservice to Inservice Teaching , 2005 .

[23]  Melissa M. Groves,et al.  Instructional Technology Adoption in Higher Education: An Action Research Case Study , 2000 .

[24]  Timothy Teo,et al.  Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre-service teachers: a structural equation modeling of an extended technology acceptance model , 2010 .

[25]  Fethi A. Inan,et al.  Factors affecting technology integration in K-12 classrooms: a path model , 2010 .

[26]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[27]  G. Cziko,et al.  Teacher Adoption of Technology: A Perceptual Control Theory Perspective , 2001 .

[28]  R. Kline.  Principles and practice of structural equation modeling, 2nd ed. , 2005 .

[29]  G. Wong.  Understanding technology acceptance in pre-service teachers of primary mathematics in Hong Kong , 2015 .

[30]  Johan van Braak,et al.  Predicting ICT integration into classroom teaching in Chinese primary schools: exploring the complex interplay of teacher-related variables , 2011, J. Comput. Assist. Learn..

[31]  Tufan Adiguzel,et al.  AN EXAMINATION OF TEACHER ACCEPTANCE OF HANDHELD COMPUTERS , 2011 .

[32]  Johan van Braak,et al.  A multidimensional approach to determinants of computer use in primary education: teacher and school characteristics , 2008, J. Comput. Assist. Learn..

[33]  E. Straub.  Understanding Technology Adoption: Theory and Future Directions for Informal Learning , 2009 .

[34]  Francisco J. Martínez-López,et al.  Exploring the impact of individualism and uncertainty avoidance in Web-based electronic learning: An empirical analysis in European higher education , 2009, Comput. Educ..

[35]  Il Im,et al.  An international comparison of technology adoption: Testing the UTAUT model , 2011, Inf. Manag..

[36]  R. R. Hocking.  The analysis and selection of variables in linear regression , 1976 .

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

[38]  Lu Wei,et al.  The impacts of Internet knowledge on college students' intention to continue to use the Internet , 2008, Inf. Res..

[39]  C. Dimmock,et al.  Transforming Hong Kong’s schools: trends and emerging issues , 1998 .

[40]  John Hart.  Quick Book Reviews: Teacher Development and Educational Change , 1993 .

[41]  Mingming Zhou,et al.  Explaining the intention to use technology among university students: a structural equation modeling approach , 2014, Journal of Computing in Higher Education.

[42]  Hong-Ren Chen,et al.  Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. , 2012, Evaluation and program planning.

[43]  Chorng-Shyong Ong,et al.  Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies , 2004, Inf. Manag..

[44]  Chris Kyriacou,et al.  Teacher Stress: Directions for future research , 2001 .

[45]  W. Hays.  Using Multivariate Statistics , 1983 .

[46]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[47]  Robert Fox,et al.  Understanding Teacher Mindsets: IT and Change in Hong Kong Schools , 2005, J. Educ. Technol. Soc..

[48]  J. Schacter.  The Impact of Education Technology on Student Achievement: What the Most Current Research Has To Say. , 1999 .

[49]  Yen-Hsun Chen,et al.  An investigation of employees' use of e-learning systems: applying the technology acceptance model , 2013, Behav. Inf. Technol..

[50]  P. Wong,et al.  Factors affecting the implementation of curriculum reform in Hong Kong: Key findings from a large‐scale survey study , 2012 .

[51]  M. Valcke,et al.  Explaining different types of computer use among primary school teachers , 2004 .

[52]  Sowaribi Tolofari.  New Public Management and Education , 2005 .

[53]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[54]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[55]  Mark R. Lehto,et al.  User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model , 2013, Comput. Educ..

[56]  C. Terlouw,et al.  Culturally appropriate pedagogy: the case of group learning in a Confucian Heritage Culture context , 2006 .

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

[58]  Heather K. Holden,et al.  Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers’ Technology Acceptance , 2011 .

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

[60]  Douglas R. Vogel,et al.  Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning , 2013, Comput. Educ..

[61]  Douglas N. Gordin,et al.  Changing how and what children learn in school with computer-based technologies. , 2000, The Future of children.

[62]  Y. Cheng,et al.  When reform hits reality: the bottleneck effect in Hong Kong primary schools , 2008 .

[63]  S. Mumtaz.  Factors affecting teachers' use of information and communications technology: a review of the literature , 2000 .

[64]  Peggy A. Ertmer.  Addressing first- and second-order barriers to change: Strategies for technology integration , 1999 .

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

[66]  Alireza Hassanzadeh,et al.  Factors affecting university instructors' adoption of web-based learning systems: Case study of Iran , 2013, Comput. Educ..

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

[68]  Yan Xu,et al.  An Enhanced Technology Acceptance Model for Web-Based Learning , 2004, J. Inf. Syst. Educ..

[69]  Gary Garrison,et al.  Investigating mobile wireless technology adoption: An extension of the technology acceptance model , 2009, Inf. Syst. Frontiers.

[70]  J. H. Sandholtz,et al.  Teachers, Not Technicians: Rethinking Technical Expectations for Teachers , 2004, Teachers College Record: The Voice of Scholarship in Education.

[71]  T. Guskey.  Attitude and perceptual change in teachers , 1989 .

[72]  W. So,et al.  Application of Information Technology Teaching in a Hong Kong Primary School: A Road Too Far? , 2000 .

[73]  J. Lee,et al.  Teacher receptivity to curriculum change in the implementation stage: the case of environmental education in Hong Kong , 2019, Curriculum and Environmental Education.

[74]  M. Sever,et al.  Technology Acceptance in Education: A Study of Pre-Service Teachers in Turkey , 2012 .

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

[76]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[77]  I. Ajzen.  Attitude structure and behavior. , 1989 .

[78]  Charles R. Graham,et al.  Understanding the experiences of instructors as they adopt a course management system , 2007 .

[79]  Pui‐wa Lei,et al.  Introduction to Structural Equation Modeling: Issues and Practical Considerations , 2007 .

[80]  Karen Renaud,et al.  Predicting technology acceptance and adoption by the elderly: a qualitative study , 2008, SAICSIT '08.

[81]  Timothy Teo,et al.  Comparing pre-service and in-service teachers' acceptance of technology: Assessment of measurement invariance and latent mean differences , 2015, Comput. Educ..

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

[83]  Timothy Teo,et al.  Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM) , 2009, Comput. Educ..

[84]  Tim O'Shea,et al.  Pupils, teachers & Palmtop computers , 1996 .

[85]  Patrick Dillon,et al.  The impact of authentic learning experiences with ICT on pre-service teachers' intentions to use ICT for teaching and learning , 2015, Comput. Educ..

[86]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[87]  M. Fullan,et al.  Teacher Development And Educational Change , 1992 .

[88]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[89]  Daniel Ang,et al.  Cultural Issues in the Design of Technology-Enhanced Learning Systems , 1999, Br. J. Educ. Technol..

[90]  Man Tak 陳萬德 Chan,et al.  Implementation of School-Based Management: A Multi-Perspective Analysis of the Case of Hong Kong , 2000 .

[91]  Ercan Kiraz,et al.  The Relationship between Educational Ideologies and Technology Acceptance in Pre-service Teachers , 2006, J. Educ. Technol. Soc..

[92]  Rolph E. Anderson,et al.  Multivariate data analysis (4th ed.): with readings , 1995 .

[93]  A. Bandura.  Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[94]  David Jaffee,et al.  Institutionalized Resistance To Asynchronous Learning Networks , 1998 .

[95]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[96]  Carolyn Strand Norman,et al.  Textbook websites: user technology acceptance behaviour , 2011, Behav. Inf. Technol..

[97]  A. Maslow.  A Theory of Human Motivation , 1943 .

[98]  Shu Ching Yang,et al.  A study of high school English teachers' behavior, concerns and beliefs in integrating information technology into English instruction , 2008, Comput. Hum. Behav..

[99]  A. Yuen,et al.  Exploring teacher acceptance of e‐learning technology , 2008 .