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S. Alkhasawneh, S. Alanazy (2015)
Adopt ICT among Academic Staff in Aljouf University: Using UTAUT ModelMediterranean journal of social sciences, 6
Keijo Sipilä (2016)
Interactive Technology and Smart Education No pain , no gain ? Teachers implementing ICT in instruction
Khaled Moradi, Galareh Sabeti (2014)
A Comparison of EFL Teachers and EFL Students’ Understandings of ‘Highly Effective Teaching’Procedia - Social and Behavioral Sciences, 98
Kung-Teck Wong, S. Russo, J. McDowall (2012)
Understanding early childhood student teachers’ acceptance and use of interactive whiteboardCampus-wide Information Systems, 30
as Hung (2011)
ICT use by journalism professors in ColombiaAustralasian Journal of Educational Technology, 27
N. Abaidoo, Valentina Arkorful (2014)
Adoption and Effective Integration of ICT in Teaching and Learning in Higher institutions in Ghana
Reynol Junco, S. Cotten (2012)
No A 4 U: The relationship between multitasking and academic performanceComput. Educ., 59
E. Ekwonwune, Deborah Egwuonwu, Leticia Elebri, K. Uka (2017)
ICT as an Instrument of Enhanced Banking SystemJournal of Computational Chemistry, 05
E. Lwoga (2014)
Critical success factors for adoption of web-based learning management systems in TanzaniaInternational journal of education and development using information and communication technology, 10
K. Bagchi (2005)
Factors Contributing to Global Digital Divide: Some Empirical ResultsJournal of Global Information Technology Management, 8
Z. Alimemaj (2014)
ENGLISH PHONOLOGICAL PROBLEMS ENCOUNTERED BY ALBANIAN LEARNERSEuropean Scientific Journal, ESJ, 10
T. Judd (2014)
Making sense of multitasking: The role of FacebookComput. Educ., 70
M. Qudais, M. Al-Adhaileh, A. Al-Omari (2010)
Senior Faculty Members' Attitudes in Jordanian Universities towards Using Information and Communication TechnologyInt. Arab. J. e Technol., 1
S. Altun, M. Erden (2013)
Self-regulation based Learning Strategies and Self-efficacy Perceptions as Predictors of Male and Female Students’ Mathematics Achievement☆Procedia - Social and Behavioral Sciences, 106
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
Thamer Alrawashdeh, Bassam Al-Mahadeen (2013)
Extended UTAUT to Examine the Acceptance of Web Based Training System by Public SectorInt. J. Interact. Mob. Technol., 7
Eileen Wood, Lucia Zivcakova, Petrice Gentile, Karin Archer, D. Pasquale, A. Nosko (2012)
Examining the impact of off-task multi-tasking with technology on real-time classroom learningComput. Educ., 58
Interactive Technology and Smart Education, 8
(2014)
Interdependent facets of E-Learning and E-Government
L. Wong, D. Nunan (2011)
The learning styles and strategies of effective language learnersFuel and Energy Abstracts
Nancy Hill, Diana Tyson (2009)
Parental involvement in middle school: a meta-analytic assessment of the strategies that promote achievement.Developmental psychology, 45 3
Ela Goyal, S. Purohit, Manju Bhaga (2011)
Study of satisfaction and usability of the Internet on student's performanceInternational journal of education and development using information and communication technology, 7
Yacob Haliso (2011)
Factors Affecting Information and Communication Technologies (ICTs) Use by Academic Librarians in Southwestern NigeriaLibrary Philosophy and Practice
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
Chiao-Chen Chang (2013)
Library mobile applications in university librariesLibr. Hi Tech, 31
Avi Kaplan, M. Maehr (1999)
Achievement Goals and Student Well-Being.Contemporary educational psychology, 24 4
J. Monks, R. Schmidt (2010)
The Impact of Class Size and Number of Students on Outcomes in Higher Education.
Reham Ali, M. Arshad (2016)
Perspectives of Students’ Behavior Towards Mobile Learning (M-learning) in Egypt: an Extension of the UTAUT ModelEngineering, Technology & Applied Science Research, 6
S. Azer (2005)
The Qualities of a Good Teacher: How can they be Acquired and Sustained?Journal of the Royal Society of Medicine, 98
F. Heemstra, R. Kusters (2004)
Defining ICT proposalsJ. Enterp. Inf. Manag., 17
Zarina Akhtar (2012)
Socio-economic Status Factors Effecting the Students Achievement: A Predictive Study
Tomas Escobar-Rodriguez, E. Carvajal-Trujillo, Pedro Monge-Lozano (2014)
Factors that Influence the Perceived Advantages and Relevance of Facebook as a Learning Tool: An Extension of the UTAUT.Australasian Journal of Educational Technology, 30
Ulka Toro, Millind Joshi (2012)
ICT in Higher Education: Review of Literature from the Period 2004-201 1
(2012)
ICT literacy among university academicians: a case of nigerian public university
Deborah Compeau, C. Higgins, S. Huff (1999)
Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal StudyMIS Q., 23
E. Kokkelenberg, Michael Dillon, S. Christy (2008)
The Effects of Class Size on Student Grades at a Public UniversityEconomics of Education Review, 27
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
K. Kounenou, P. Roussos, V. Yotsidi, M. Tountopoulou (2015)
Trainee Teachers’ Intention to Incorporating ICT Use into Teaching Practice in Relation to their Psychological Characteristics: The Case of Group-based InterventionProcedia - Social and Behavioral Sciences, 190
J. Edumadze, Anthony Owusu (2014)
Use of Information and Communication Technology for Teaching and Learning in Ghanaian Universities : Case of University of Cape Coast
M. Wee, A. Zaitun (2006)
Obstacles Towards the Use of ICT Tools in Teaching and Learning of Information Systems in Malaysian UniversitiesInt. Arab J. Inf. Technol., 3
P. Nair, F. Ali, Lim Leong (2015)
Factors affecting acceptance & use of ReWIND: Validating the extended unified theory of acceptance and use of technologyInteract. Technol. Smart Educ., 12
F. Ahmar (2013)
Socio Economic Status and its Relation to Academic Achievement of Higher Secondary School StudentsIOSR Journal of Humanities and Social Science, 13
Fred Davis, R. Bagozzi, P. Warshaw (1992)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1Journal of Applied Social Psychology, 22
R. Boateng, A. Mbrokoh, L. Boateng, Prince Senyo, Eric Ansong (2016)
Determinants of e-learning adoption among students of developing countries, 33
Ronald Thompson, C. Higgins, Jane Howell (1991)
Personal Computing: Toward a Conceptual Model of UtilizationMIS Q., 15
A. Islam, Nasreen Azad (2015)
Satisfaction and continuance with a learning management system, 32
European Scientific Journal, 10
R. Yusof, Atika Qazi, Irum Inayat (2017)
Student real-time visualization system in classroom using RFID based on UTAUT model, 34
N. Oye, N. Iahad, N. Rahim (2011)
An Application of the UTAUT Model for Understanding Acceptance and Use of ICT by Nigerian University AcademiciansInt. J. Inf. Commun. Technol. Hum. Dev., 3
Pi-Tzong Jan, Hsi-Peng Lu, T. Chou (2012)
THE ADOPTION OF E-LEARNING: AN INSTITUTIONAL THEORY PERSPECTIVETurkish Online Journal of Educational Technology, 11
N. Oye, N. Iahad, N. Rahim (2012)
A comparative study of acceptance and use of ICT among university academic staff of ADSU and LASU: Nigeria
Patricia Miller (2012)
Ten Characteristics of a Good Teacher., 50
B. Nye, L. Hedges, S. Konstantopoulos (2001)
Are Effects of Small Classes Cumulative? Evidence From a Tennessee ExperimentThe Journal of Educational Research, 94
The purpose of this study is to compare students and instructors’ perspectives on students’ performance based on unified theory of acceptance and use of technology (UTAUT) framework. This study also aims to propose additional variables that might be used to extend the UTAUT model to make it more appropriate for the educational setting.Design/methodology/approachThe study was carried out using a three-pronged methodology, namely, literature review, expert interviews and self-administered survey of 430 students and 55 information and communication technology (ICT) instructors from tertiary institutions in Akwa Ibom State, Nigeria. Validity analysis were conducted using IBM SPSS version 24 and two structural equation models were finally obtained using AMOS version 24.FindingsThis study finds UTAUT constructs including social influence, facilitating condition and voluntariness of use to have direct and significant impact on students’ performance from the students and the instructors’ perspective. The result of the instructors’ perspective shows that ICT use behaviour of students have direct and significant impact on students’ performance, but the students’ result shows an insignificant direct effect of use behaviour on students’ performance. From the students and the instructors’ perspective, gender, age and experience have statistically significantly direct impact on performance expectancy in this study. The result also shows that additional variables including ICT instructors’ characteristics, motivation and personal environment directly affect students’ performance from the students’ perspective, but the result of the instructors’ perspective shows that the influence of ICT instructors’ characteristics, motivation and personal environment does not directly and significantly affect students’ performance.Research limitations/implicationsThis study was limited to tertiary institutions in Akwa Ibom State, Nigeria. Consequently, the findings of this study are limited to Akwa Ibom State, Nigeria, and may not be generalised to cover other countries.Originality/valueThis research shows that the students and instructors have different views on variables that impact on students’ performance. This study finds empirical evidence to support the direct impact of use behaviour on students’ performance from the instructors’ perspective, while the students disagree but indicated an empirical evidence to show that instructors’ characteristics, environment and motivation contribute a greater impact on students’ performance. From the students and the instructors’ perspective, gender, age and experience have statistically significantly direct impact on performance expectancy in this study. This adds to the findings in the original UTAUT that indicated that performance expectancy is moderated by gender and age.
Interactive Technology and Smart Education – Emerald Publishing
Published: Mar 4, 2019
Keywords: UTAUT; ICT; Comparative; Students’ motivation; Students’ performance
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