Becoming more specific: Measuring and modeling teachers' perceived usefulness of ICT in the context of teaching and learning

Studies on teachers' acceptance and use of information and communication technology (ICT) have revealed perceived usefulness to be a crucial determinant for integrating ICT in classrooms. In consequence, the present study focuses on teachers' perceived usefulness of ICT for teaching and learning and is aimed at describing its structure and relations to self-efficacy, ICT use, and teachers' age. By means of Bayesian analysis, we specified confirmatory factor-analytic and structural equation models to a large-scale data set of N?=?1190 Norwegian teachers. Our results supported the hypothesized four-factor structure of teachers' perceived usefulness of ICT, signifying different facets of ICT-related teaching goals in classrooms. Moreover, it was possible to disentangle general and specific components of the construct in nested factor models. In support of existing research, we found positive relations to self-efficacy and ICT use, but a negative relation to teachers' age. Our study provides evidence on a multidimensional conceptualization of teachers' perceived usefulness of ICT for teaching and learning, and verifies the relations to teacher-related characteristics. Implications for the measurement and modeling of the construct, and future research directions are discussed. Teachers' perceived usefulness of ICT for teaching and learning is multifaceted.A general factor and specific factors can be distinguished.Bayesian models with cross-loadings represent the structure of the construct.Perceived usefulness is positively related to self-efficacy and ICT use.Perceived usefulness is negatively related to teachers' age.

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

[2]  Miguel Nussbaum,et al.  Assessment of 21st century ICT skills in Chile: Test design and results from high school level students , 2012, Comput. Educ..

[3]  Li Cai,et al.  Hopes and cautions in implementing Bayesian structural equation modeling. , 2012, Psychological methods.

[4]  Ольга Брыксина,et al.  Information and communication technologies in education , 2017 .

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

[6]  C. Player-Koro Factors Influencing Teachers’ Use of ICT in Education , 2012 .

[7]  Alessandro Antonietti,et al.  Teachers' beliefs about learning from multimedia , 2006, Comput. Hum. Behav..

[8]  Johan van Braak,et al.  The impact of primary school teachers' educational beliefs on the classroom use of computers , 2008, Comput. Educ..

[9]  Michael D. Proctor,et al.  A survey of exemplar teachers' perceptions, use, and access of computer-based games and technology for classroom instruction , 2013, Comput. Educ..

[10]  J. Kruschke Doing Bayesian Data Analysis , 2010 .

[11]  Bengt Muthén,et al.  Rejoinder to MacCallum, Edwards, and Cai (2012) and Rindskopf (2012): Mastering a New Method. , 2012 .

[12]  W. J. Pelgrum,et al.  Second Information Technology in Education Study SITES 2006 Technical Report , 2007 .

[13]  Jan-Eric Gustafsson,et al.  Unidimensionality and interpretability of psychological instruments , 2009 .

[14]  J. Fraillon,et al.  Preparing for life in a digital age , 2014 .

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

[16]  John K Kruschke,et al.  Posterior predictive checks can and should be Bayesian: comment on Gelman and Shalizi, 'Philosophy and the practice of Bayesian statistics'. , 2013, The British journal of mathematical and statistical psychology.

[17]  Wouter Duyck,et al.  Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study , 2011, Comput. Hum. Behav..

[18]  Oliver McGarr,et al.  A framework for teachers' integration of ICT into their classroom practice , 2011, Comput. Educ..

[19]  Anjo Anjewierden,et al.  Examining the relation between domain-related communication and collaborative inquiry learning , 2009, Comput. Educ..

[20]  Sik-Yum Lee,et al.  A tutorial on the Bayesian approach for analyzing structural equation models , 2012 .

[21]  Hyungshin Choi,et al.  Little experience with ICT: Are they really the Net Generation student-teachers? , 2012, Comput. Educ..

[22]  Dale S. Niederhauser,et al.  Beyond self-efficacy: Measuring pre-service teachers' Instructional Technology Outcome Expectations , 2010, Comput. Hum. Behav..

[23]  Herbert W. Marsh,et al.  Exploratory structural equation modeling. , 2013 .

[24]  Terje Mølster,et al.  Norwegian secondary school teachers and ICT , 2011 .

[25]  Patrick Griffin,et al.  The Changing Role of Education and Schools , 2012 .

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

[27]  Johan van Braak,et al.  Institutionalised ICT use in primary education: A multilevel analysis , 2014, Comput. Educ..

[28]  Francisco J. García-Peñalvo,et al.  Teachers' attitude regarding the use of ICT. A factor reliability and validity study , 2014, Comput. Hum. Behav..

[29]  J. Tondeur,et al.  The content of educational technology curricula: a cross-curricular state of the art , 2013, Educational Technology Research and Development.

[30]  Ferrari Anusca DIGCOMP: A Framework for Developing and Understanding Digital Competence in Europe. , 2013 .

[31]  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..

[32]  Franz J. Neyer,et al.  A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research , 2013, Child development.

[33]  Anastasios A. Economides,et al.  The acceptance and use of computer based assessment , 2011, Comput. Educ..

[34]  Youngju Lee,et al.  Enhancing pre-service teachers' self-efficacy beliefs for technology integration through lesson planning practice , 2014, Comput. Educ..

[35]  Johan van Braak,et al.  Direct measures of digital information processing and communication skills in primary education: Using item response theory for the development and validation of an ICT competence scale , 2014, Comput. Educ..

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

[37]  S. Green,et al.  Coefficient Alpha: A Reliability Coefficient for the 21st Century? , 2011 .

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

[39]  J. Michael Spector,et al.  Handbook of Research on Educational Communications and Technology, 3rd Edition , 2012 .

[40]  M. Kane Validating the Interpretations and Uses of Test Scores , 2013 .

[41]  Robert M. Klassen,et al.  Teachers’ self-efficacy, personality, and teaching effectiveness: A meta-analysis , 2014 .

[42]  John K Kruschke,et al.  Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[43]  Bengt Muthén,et al.  Bayesian structural equation modeling: a more flexible representation of substantive theory. , 2012, Psychological methods.

[44]  A. M. Ibrahim,et al.  Differential Responding to Positive and Negative Items: The Case of a Negative Item in a Questionnaire for Course and Faculty Evaluation , 2001, Psychological reports.

[45]  J. Fraillon,et al.  Preparing for Life in a Digital Age: The IEA International Computer and Information Literacy Study International Report , 2014 .

[46]  Dirk Ifenthaler,et al.  The acceptance of Tablet-PCs in classroom instruction: The teachers' perspectives , 2013, Comput. Hum. Behav..

[47]  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..

[48]  Blanche W. O'Bannon,et al.  Teacher perceptions of using mobile phones in the classroom: Age matters! , 2014, Comput. Educ..

[49]  Peggy A. Ertmer,et al.  Teacher beliefs and technology integration practices: A critical relationship , 2012, Comput. Educ..

[50]  Abdul Aziz Jemain,et al.  Bayesian structural equation modeling for the health index , 2013 .

[51]  Johan van Braak,et al.  Student teachers' thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology , 2010, Comput. Educ..

[52]  Scheuermann Friedrich,et al.  Assessing the effects of ICT in education - Indicators, criteria and benchmarks for international comparisons , 2009 .

[53]  Irene Govender,et al.  The Relationship between Information and Communications Technology (ICT) Integration and Teachers’ Self-efficacy Beliefs about ICT , 2009 .

[54]  Miguel Angel Ylizaliturri-Salcedo,et al.  Evaluation of ICT Competencies , 2014 .

[55]  Mimi Bong,et al.  Academic Self-Concept and Self-Efficacy: How Different Are They Really? , 2003 .

[56]  Kinshuk,et al.  Comparing the role of ICT literacy and anxiety in the adoption of mobile learning , 2014, Comput. Hum. Behav..

[57]  Hsin-Kai Wu,et al.  An investigation of teachers' beliefs and their use of technology-based assessments , 2014, Comput. Hum. Behav..

[58]  Scott A Baldwin,et al.  Bayesian methods for the analysis of small sample multilevel data with a complex variance structure. , 2013, Psychological methods.

[59]  D ProctorMichael,et al.  A survey of exemplar teachers' perceptions, use, and access of computer-based games and technology for classroom instruction , 2013 .

[60]  Claudia Smarkola,et al.  Efficacy of a planned behavior model: Beliefs that contribute to computer usage intentions of student teachers and experienced teachers , 2008, Comput. Hum. Behav..

[61]  Shu-Sheng Liaw,et al.  Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments , 2013, Comput. Educ..

[62]  Noorminshah A. Iahad,et al.  The history of UTAUT model and its impact on ICT acceptance and usage by academicians , 2012, Education and Information Technologies.

[63]  Timothy Teo,et al.  Modeling technology acceptance among pre-service teachers , 2011 .

[64]  Jan Noyes,et al.  An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach , 2011, Comput. Educ..

[65]  Margaret M. Lloyd,et al.  Towards a Definition of the Integration of ICT in the Classroom , 2005 .

[66]  Peter Aubusson,et al.  Teachers Choosing Rich Tasks , 2014 .

[67]  Franzis Preckel,et al.  Assessing need for cognition in early adolescence: Validation of a German adaption of the Cacioppo/Petty Scale. , 2014 .

[68]  Hans van Buuren,et al.  What stimulates teachers to integrate ICT in their pedagogical practices? The use of digital learning materials in education , 2013, Comput. Hum. Behav..

[69]  Ulrich Schroeders,et al.  Computer usage questionnaire: Structure, correlates, and gender differences , 2011, Comput. Hum. Behav..

[70]  J. Fraillon,et al.  IEA International Computer and Information Literacy Study 2018 Assessment Framework , 2019 .