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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Education and Information Technologies, 2017
As the use of technology in education advances and broadens, empirical research around its use assumes increased importance. Yet literature investigating technology acceptance in certain populations remains scarce. We recently argued that technology acceptance investigations should also consider the modality of the antecedent belief, to…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Electronic Learning, Student Attitudes
Fokides, Emmanuel – Contemporary Educational Technology, 2017
The study examines the factors affecting Greek pre-service teachers' intention to use computers when they become practicing teachers. Four variables (perceived usefulness, perceived ease of use, self-efficacy, and attitude toward use) as well as behavioral intention to use computers were used so as to build a research model that extended the…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Technology Integration
Teo, Timothy; Zhou, Mingming – Journal of Computing in Higher Education, 2014
The aim of this study is to examine the factors that an influence higher education students' intention to use technology. Using an extended technology acceptance model as a research framework, a sample of 314 university students were surveyed on their responses to seven constructs hypothesized to explain their intention to use technology.…
Descriptors: Structural Equation Models, Intention, College Students, Computer Attitudes
Teo, Timothy; Fan, Xitao; Du, Jianxia – Australasian Journal of Educational Technology, 2015
This study examined possible gender differences in pre-service teachers' perceived acceptance of technology in their professional work under the framework of the technology acceptance model (TAM). Based on a sample of pre-service teachers, a series of progressively more stringent measurement invariance tests (configural, metric, and scalar…
Descriptors: Preservice Teachers, Student Attitudes, Gender Differences, Computer Attitudes
Padilla-Melendez, Antonio; del Aguila-Obra, Ana Rosa; Garrido-Moreno, Aurora – Computers & Education, 2013
The importance of technology for education is increasing year-by-year at all educational levels and particularly for Universities. This paper reexamines one important determinant of technology acceptance and use, such as perceived playfulness in the context of a blended learning setting and reveals existing gender differences. After a literature…
Descriptors: Blended Learning, Computer Attitudes, Adoption (Ideas), Models
Garcia-Santillán, Arturo; Moreno-Garcia, Elena; Escalera-Chávez, Milka E.; Rojas-Kramer, Carlos A.; Pozos-Texon, Felipe – International Journal of Research in Education and Science, 2016
Most mathematics students show a definite tendency toward an attitudinal deficiency, which can be primarily understood as intolerance to the matter, affecting their scholar performance adversely. In addition, information and communication technologies have been gradually included within the process of teaching mathematics. Such adoption of…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Educational Attitudes
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
Tarhini, Ali; Scott, Michael James; Sharma, Sujeet Kumar; Abbasi, Muhammad Sharif – Electronic Journal of e-Learning, 2015
Really Simple Syndication (RSS) offers a means for university students to receive timely updates from virtual learning environments. However, despite its utility, only 21% of home students surveyed at a university in Lebanon claim to have ever used the technology. To investigate whether national culture could be an influence on intention to use…
Descriptors: Cross Cultural Studies, Cultural Differences, Technology Uses in Education, Technology Integration
Nair, Pradeep Kumar; Ali, Faizan; Leong, Lim Chee – Interactive Technology and Smart Education, 2015
Purpose: This study aims to explain the factors affecting students' acceptance and usage of a lecture capture system (LCS)--ReWIND--in a Malaysian university based on the extended unified theory of acceptance and use of technology (UTAUT2) model. Technological advances have become an important feature of universities' plans to improve the…
Descriptors: Foreign Countries, Predictor Variables, College Students, Likert Scales
Tran, Khanh Ngo Nhu – Journal of Information Technology Education: Research, 2016
This study examines factors that determine the attitudes of learners toward a blended e-learning system (BELS) using data collected by questionnaire from a sample of 396 students involved in a BELS environment in Vietnam. A theoretical model is derived from previous studies and is analyzed and developed using structural equation modeling…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, Educational Technology
Iqbal, Shakeel; Bhatti, Zeeshan Ahmed – International Review of Research in Open and Distributed Learning, 2015
M-learning is learning delivered via mobile devices and mobile technology. The research indicates that this medium of learning has potential to enhance formal as well as informal learning. However, acceptance of m-learning greatly depends upon the personal attitude of students towards this medium; therefore this study focuses only on the…
Descriptors: Foreign Countries, College Students, Electronic Learning, Student Attitudes
Teo, Timothy; Noyes, Jan – Interactive Learning Environments, 2014
Pre-service teachers' self-reported intentions to use information technology were studied. Two hundred and sixty-four participants completed a survey questionnaire measuring their responses to four constructs (performance expectancy, effort expectancy, social influence and facilitating conditions) derived from the Unified Theory of Acceptance and…
Descriptors: Preservice Teachers, Intention, Computer Uses in Education, Computer Attitudes
Yeh, C. Rosa; Tao, Yu-Hui – Educational Technology & Society, 2013
To address four issues observed from the latest Personal Response System (PRS) review by Kay and LeSage (2009), this paper investigates, through a systematic research, how the derived benefits and challenges of PRS affect the satisfaction and continuance intention of college students in Taiwan. The empirical study samples representative college…
Descriptors: Foreign Countries, College Students, Student Attitudes, Questionnaires
Shin, Won Sug; Kang, Minseok – International Review of Research in Open and Distributed Learning, 2015
This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…
Descriptors: Virtual Universities, Electronic Learning, Computer Attitudes, Student Attitudes