Electrical/electronics technology education teachers attitude, engagement, and disposition towards actual usage of Mobile learning in higher institutions
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[1] E. Deci,et al. Intrinsic Need Satisfaction: A Motivational Basis of Performance and Weil‐Being in Two Work Settings1 , 2004 .
[2] Chi-Chang Lin,et al. Identifying crucial sustainability assessment criteria for container seaports , 2016 .
[3] Motivation and Culture , 2004 .
[4] Ee-Ling Low,et al. Mandatory use of technology in teaching: Who cares and so what? , 2012, Br. J. Educ. Technol..
[5] Prodromos D. Chatzoglou,et al. Using a modified technology acceptance model in hospitals , 2009, Int. J. Medical Informatics.
[6] P. C. Lai,et al. The literature review of technology adoption models and theories for the novelty technology , 2017 .
[7] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[8] Mohammad Chuttur,et al. Overview of the Technology Acceptance Model: Origins, Developments and Future Directions , 2009 .
[9] Ifeanyi Benedict Ohanu,et al. Constraints to the use of online platform for teaching and learning technical education in developing countries , 2018, Education and Information Technologies.
[10] Francisco J. García-Peñalvo,et al. Assessment of the Disposition of Future Secondary Education Teachers Towards Mobile Learning , 2017, TEEM.
[11] Priscilla Moses,et al. Effects of psychological ownership on teachers’ beliefs about a cloud-based virtual learning environment , 2018, Res. Pract. Technol. Enhanc. Learn..
[12] Minjuan Wang,et al. The impact of mobile learning on students' learning behaviours and performance: Report from a large blended classroom , 2009, Br. J. Educ. Technol..
[13] Zeeshan Fareed,et al. AN EMPIRICAL INVESTIGATION OF ENTREPRENEURIAL INTENTIONS AMONG BUSINESS STUDENTS OF PAKISTAN , 2014 .
[14] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[15] Jeffery D. Wilfong. Computer anxiety and anger: the impact of computer use, computer experience, and self-efficacy beliefs , 2006, Comput. Hum. Behav..
[16] Martina Ziefle,et al. Understanding age differences in PDA acceptance and performance , 2007, Comput. Hum. Behav..
[17] John Hulland,et al. Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .
[18] Matthew E. Jacovina,et al. Challenges and Solutions When Using Technologies in the Classroom. , 2016 .
[19] Chin-Shan Lu,et al. Examining sustainability performance at ports: port managers’ perspectives on developing sustainable supply chains , 2016 .
[20] Fred D. Davis,et al. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.
[21] J. H. Sandholtz,et al. Teachers, Not Technicians: Rethinking Technical Expectations for Teachers , 2004, Teachers College Record: The Voice of Scholarship in Education.
[22] Joachim Stoeber,et al. Perfectionism in school teachers: Relations with stress appraisals, coping styles, and burnout , 2008, Anxiety, stress, and coping.
[23] Constantinos M. Kokkinos. Job stressors, personality and burnout in primary school teachers. , 2007, The British journal of educational psychology.
[24] Joseph F. Hair,et al. When to use and how to report the results of PLS-SEM , 2019, European Business Review.
[25] Sushil Dev Rout,et al. Calculating and interpreting Cronbach’s alpha using Rosenberg assessment scale on paediatrician’s attitude and perception on self esteem , 2016 .
[26] Stelios Daskalakis,et al. Assessing the Acceptance of a Blended Learning University Course , 2011, J. Educ. Technol. Soc..
[27] Joseph Evans Agolla,et al. Antecedents of entrepreneurial intentions amongst business students in a tertiary institution , 2019, Asia Pacific Journal of Innovation and Entrepreneurship.
[28] R. Shroff,et al. Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system , 2011 .
[29] Ephraim R. McLean,et al. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..
[30] Fred D. Davis. A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .
[31] Ali Abdulbaqi Ameen,et al. DETERMINANTS OF STUDENT’S INTENTION TO USE MOBILE LEARNING IN YEMENI PUBLIC UNIVERSITIES: EXTENDING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) WITH ANXIETY , 2018 .
[32] Students’ Technology Acceptance, Motivation and Self-Efficacy towards the eSchoolbag: An Exploratory Study , 2017 .
[33] Doug Mahar,et al. The effects of computer anxiety, state anxiety, and computer experience on users' performance of computer based tasks , 1997 .
[34] Bereket Mamo Buli,et al. Determinants of entrepreneurial intentions: Technical-vocational education and training students in Ethiopia , 2015 .
[35] E. Honan. Mapping discourses in teachers' talk about using digital texts in classrooms , 2010 .
[36] Miguel Nussbaum,et al. Teacher adoption of technology , 2013, Comput. Hum. Behav..
[37] Kinshuk,et al. Factors Impacting Teachers' Adoption of Mobile Learning , 2014, J. Inf. Technol. Educ. Res..
[38] Sid Bourke,et al. Teacher stress: Examining a model based on context, workload, and satisfaction , 1992 .
[39] Bill Green,et al. Teachers and Technoliteracy: Managing Literacy, Technology and Learning in Schools , 2000 .
[40] Chi Cheng Chang,et al. Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students. , 2012 .
[41] Peggy A. Ertmer,et al. Teacher Technology Change , 2010 .
[42] A. Y. M. Atiquil Islam,et al. Assessing Mobile Learning Readiness in Saudi Arabia Higher Education: An Empirical Study. , 2014 .
[43] Tsai-Hsuan Tsai,et al. Technology anxiety and resistance to change behavioral study of a wearable cardiac warming system using an extended TAM for older adults , 2020, PloS one.
[44] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[45] Tammy Schellens,et al. Researching instructional use and the technology acceptation of learning management systems by secondary school teachers , 2012, Comput. Educ..
[46] Wenhao Huang,et al. The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea , 2012, Comput. Hum. Behav..
[47] Cher Ping Lim,et al. Mobile learning , 2016, Interact. Learn. Environ..
[48] Inmaculada Arnedillo-Sánchez,et al. Mobile Learning [Guest editor's introduction] , 2007 .
[49] Nikos Bozionelos,et al. Computer anxiety: relationship with computer experience and prevalence , 2001, Comput. Hum. Behav..
[50] P. Bentler. On the fit of models to covariances and methodology to the Bulletin. , 1992, Psychological bulletin.
[51] Chung-Shan Yang,et al. Evaluating the use of alternative maritime power in Taiwan , 2016 .
[52] Dennis M. McInerney,et al. What do students say about their motivational goals?: Towards a more complex and dynamic perspective on student motivation , 2003 .
[53] Sung Youl Park,et al. University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model , 2012, Br. J. Educ. Technol..
[54] Paul J. Taylor,et al. The experience of work‐related stress across occupations , 2005 .
[55] Shu-Sheng Liaw,et al. Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system , 2008, Comput. Educ..
[56] Paul Benjamin Lowry,et al. Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It , 2014, IEEE Transactions on Professional Communication.
[57] H. Pillay,et al. Well-being, burnout and competence: Implications for teachers , 2005 .
[58] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[59] Anol Bhattacherjee,et al. Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..
[60] Raafat George Saadé,et al. Computer Anxiety in E-Learning: The Effect of Computer Self-Efficacy , 2009, J. Inf. Technol. Educ..
[61] C. Sinclair. Initial and changing student teacher motivation and commitment to teaching , 2008 .
[62] Kristen R. Stephens. Teacher Dispositions and Their Impact on Implementation Practices for the Gifted , 2019, Gifted Child Today.
[63] Angela F. L. Wong,et al. Computer anxiety and its correlates : a meta-analysis , 1999 .
[64] J. Hair. Multivariate data analysis : a global perspective , 2010 .
[65] Barbara M. Byrne,et al. Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .
[66] Marcelo Armentano,et al. Applying the Technology Acceptance Model to Evaluation of Recommender Systems , 2015, Polytech. Open Libr. Int. Bull. Inf. Technol. Sci..
[67] 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.
[68] Vimala Balakrishnan,et al. Enhancing classroom interaction via IMMAP - An Interactive Mobile Messaging App , 2017, Telematics Informatics.
[69] R. Ryan,et al. Perceived locus of causality and internalization: Examining reasons for acting in two domains. , 1989 .
[70] Yu-Ru Lin,et al. Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model , 2007, Electron. Libr..
[71] Øystein Sørebø,et al. The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology , 2009, Comput. Educ..
[72] Jason J. Teven. Teacher Temperament: Correlates with Teacher Caring, Burnout, and Organizational Outcomes , 2007 .
[73] Lynn Jeffrey,et al. The influence of students' ICT skills and their adoption of mobile learning , 2013 .
[74] A. Morin,et al. Teachers’ occupational attributes and their psychological wellbeing, job satisfaction, occupational self-concept and quitting intentions , 2018 .
[75] Carl J. Huberty,et al. Multivariate Analysis of Variance and Covariance , 2000 .
[76] Hong Kian Sam,et al. Computer Self-Efficacy, Computer Anxiety, and Attitudes toward the Internet: A Study among Undergraduates in Unimas , 2005, J. Educ. Technol. Soc..
[77] Patrick L. Wadlington,et al. Teacher Dispositions: Implications for Teacher Education , 2011 .
[78] Chorng-Shyong Ong,et al. Gender differences in perceptions and relationships among dominants of e-learning acceptance , 2006, Comput. Hum. Behav..
[79] Peggy A. Ertmer,et al. Teacher beliefs and technology integration practices: A critical relationship , 2012, Comput. Educ..
[80] Jeremy Roschelle,et al. Keynote paper: Unlocking the learning value of wireless mobile devices , 2003, J. Comput. Assist. Learn..