ICT in Higher Education: An Exploration of Practices in Malaysian Universities

Information and communication technologies (ICTs) have been provided by higher education authorities to ensure that teachers use ICT to enhance their teaching, learning, and research outcomes. However, ICT has been found to be underutilized, especially by teachers. To investigate this issue, the technology adoption and gratification (TAG) model was validated and used to examine Malaysian university teachers’ adoption and gratification of ICT for teaching and research purposes and then used to investigate the moderating effect of universities in different regions. The 397 teachers from the west and east Malaysian universities were surveyed using a stratified random sampling technique. The research data were analyzed using the three-stage structural equation modeling. There were focused use factors: 1) academic purpose; 2) research purpose; and 3) teaching purpose. The TAG model was useful in explaining differences in ICT uses. West Malaysian teachers’ perceived usefulness and ease of use mediated the relationships between computer self-efficacy, gratification, and intention to use ICT, respectively. However, for east Malaysian teachers, only perceived ease of use did not mediate the relationship between computer self-efficacy and gratification. Finally, west and east Malaysian teachers’ intentions to use ICT mediated the relationships between actual use, perceived usefulness, and ease of use. This paper confirms the utility of the TAG model for comparing teachers’ adoption and gratification of ICT. In addition, this paper provides a basis for the targeted professional development of teachers in the east and west Malaysian universities which were selected based on the known differences.

[1]  Samer Khasawneh,et al.  Jordanian Pre-Service Teachers' and Technology Integration: A Human Resource Development Approach , 2011, J. Educ. Technol. Soc..

[2]  K. Lim,et al.  Investigating the Structural Relationship among Perceived Innovation Attributes, Intention to Use and Actual Use of Mobile Learning in an Online University in South Korea. , 2014 .

[3]  Bukuri Zejno,et al.  Development and Validation of Library ICT Usage Scale for the IIUM Postgraduate Students , 2012 .

[4]  T. Teo,et al.  Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model , 2012 .

[5]  Perceived Usefulness and Perceived Ease of Use , 2022 .

[6]  Courtney K. Blackwell,et al.  Adoption and use of technology in early education: The interplay of extrinsic barriers and teacher attitudes , 2013, Comput. Educ..

[7]  H. So,et al.  Enhancing teachers' ICT capacity for the 21st century learning environment: Three cases of teacher education in Korea , 2012 .

[8]  Norazah Mohd Suki,et al.  Willingness of patrons to use library public computing facilities: insights from Malaysia , 2016, Electron. Libr..

[9]  A. I. Gambari,et al.  Modeling Technology Preparedness as an antecedent of Mathematic Pre-service Teachers’ Self Efficacy, Perceived Usefulness and Intention toward use of Information Technology in Nigeria , 2016 .

[10]  Travis K. Huang Exploring the antecedents of screenshot-based interactions in the context of advanced computer software learning , 2015, Comput. Educ..

[11]  Hong-bumm Kim,et al.  Impacts of city personality and image on revisit intention , 2015 .

[12]  J. Michael Spector,et al.  Emerging Educational Technologies and Research Directions , 2013, J. Educ. Technol. Soc..

[13]  Mary Tate,et al.  An integrated framework for theories of individual attitudes toward technology , 2015, Inf. Manag..

[14]  Cheng Yong Tan,et al.  Predictors of Information Technology Integration in Secondary Schools: Evidence from a Large Scale Study of More than 30,000 Students , 2016, PloS one.

[15]  Anastasios A. Economides,et al.  Computer Based Assessment Acceptance: A Cross-cultural Study in Greece and Mexico , 2013, J. Educ. Technol. Soc..

[16]  K. Lai Digital technology and the culture of teaching and learning in higher education , 2011 .

[17]  A. Yuen,et al.  Educational technology training workshops for mathematics teachers: An exploration of perception changes , 2013 .

[18]  J. Hair Multivariate data analysis : a global perspective , 2010 .

[19]  Matthew J. Koehler,et al.  Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge , 2006, Teachers College Record: The Voice of Scholarship in Education.

[20]  Echo Huang,et al.  Use and gratification in e-consumers , 2008, Internet Res..

[21]  Victor R. Prybutok,et al.  Investigating factors affecting social presence and user satisfaction with Mobile Instant Messaging , 2014, Comput. Hum. Behav..

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

[23]  Chien-Hung Liu,et al.  An empirical investigation of computer simulation technology acceptance to explore the factors that affect user intention , 2015, Universal Access in the Information Society.

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

[25]  A. Y. M. Atiquil Islam Online Database Adoption and Satisfaction Model , 2011 .

[26]  Yong-Ming Huang,et al.  Exploring students' acceptance of team messaging services: The roles of social presence and motivation , 2017, Br. J. Educ. Technol..

[27]  Belinda Shipps,et al.  Social Networks, Interactivity and Satisfaction: Assessing Socio-Technical Behavioral Factors as an Extension to Technology Acceptance , 2013, J. Theor. Appl. Electron. Commer. Res..

[28]  Eric N. Wiebe,et al.  Utility and usability as factors influencing teacher decisions about software integration , 2016 .

[29]  J. Hughes Technology Learning Principles for Preservice and In-service Teacher Education , 2004 .

[30]  Chia-Jung Lee,et al.  An implementation study of a TPACK-based instructional design model in a technology integration course , 2014, Educational Technology Research and Development.

[31]  Francisco José Fernández-Cruz,et al.  Generation Z ' s Teachers and their Digital Skills , 2015 .

[32]  Timothy Teo,et al.  Modelling the intention to use technology for teaching mathematics among pre-service teachers in Serbia , 2015 .

[33]  Kweku-Muata Osei-Bryson,et al.  Examining influence of national culture on individuals' attitude and use of information and communication technology: Assessment of moderating effect of culture through cross countries study , 2013, Int. J. Inf. Manag..

[34]  Mohamad Noorman Masrek,et al.  Assessing users satisfaction with web digital library: the case of Universiti Teknologi MARA , 2016 .

[35]  Namjoo Choi,et al.  Understanding users' continuance intention to use online library resources based on an extended expectation-confirmation model , 2016, Electron. Libr..

[36]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[37]  Eunil Park,et al.  Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model , 2014, Telematics Informatics.

[38]  Eunil Park,et al.  Reading experiences influencing the acceptance of e-book devices , 2015, Electron. Libr..

[39]  Lori Baker-Eveleth,et al.  Students’ intentions to purchase electronic textbooks , 2013, Journal of Computing in Higher Education.

[40]  Yueh-Min Huang,et al.  Integrating ISSM into TAM to enhance digital library services: A case study of the Taiwan Digital Meta-Library , 2016, Electron. Libr..

[41]  Kerstin E. E. Schroder,et al.  Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses , 2014, Internet High. Educ..

[42]  M. Sobel Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .

[43]  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..

[44]  Thomas K. F. Chiu Introducing electronic textbooks as daily-use technology in schools: A top-down adoption process , 2017, Br. J. Educ. Technol..

[45]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[46]  Birgit Eickelmann,et al.  Predictors of teachers’ use of ICT in school – the relevance of school characteristics, teachers’ attitudes and teacher collaboration , 2016, Education and Information Technologies.

[47]  Kalpana Kannan,et al.  A Structural Equation Modelling Approach for Massive Blended Synchronous Teacher Training , 2015, J. Educ. Technol. Soc..

[48]  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.

[49]  George Zhou,et al.  Are secondary preservice teachers well prepared to teach with technology? A case study from China , 2011 .

[50]  Noa Aharony,et al.  An exploratory study on factors affecting the adoption of cloud computing by information professionals , 2015, Electron. Libr..

[51]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[52]  Weiwei Yan,et al.  Factors influencing the intention to use information service mashups: An empirical study of digital libraries in China , 2016, Electron. Libr..

[53]  A. Y. M. Atiquil Islam,et al.  Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education: The Application of Structural Equation Modeling , 2014, Int. J. Technol. Hum. Interact..

[54]  Esteban Romero-Frías,et al.  Personal Learning Environments Acceptance Model: The Role of Need for Cognition, e-Learning Satisfaction and Students. Perceptions , 2015, J. Educ. Technol. Soc..

[55]  Mingming Zhou,et al.  Modelling Serbian pre-service teachers' attitudes towards computer use: A SEM and MIMIC approach , 2016, Comput. Educ..

[56]  Erdogan Tezci,et al.  Factors that influence pre-service teachers’ ICT usage in education , 2011 .

[57]  P. Kirschner,et al.  Adopting the Integrative Model of Behaviour Prediction to explain teachers’ willingness to use ICT: a perspective for research on teachers’ ICT usage in pedagogical practices , 2013 .