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Showing 1 to 15 of 46 results Save | Export
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Doo, Min Young – Education and Information Technologies, 2023
Universities are increasingly incorporating flipped learning as an effective instructional approach. Given the popularity of flipped learning, numerous studies have examined the psychological aspects of students and learning achievement in flipped learning classes. However, little research has examined the social influence processes of students in…
Descriptors: Undergraduate Students, Flipped Classroom, Models, Social Influences
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Md Al Amin; Yang Sok Kim; Mijin Noh – Education and Information Technologies, 2025
The introduction of artificial intelligence technologies like ChatGPT has brought a revolution in various sectors, including higher education. The study aims to examine the drivers that influence ChatGPT adoption among students in higher studies in Bangladesh. This study combined UTAUT model components with constructs such as perceived knowledge…
Descriptors: Trust (Psychology), Artificial Intelligence, Computer Software, Social Influences
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Xiaoyi Zou; Pimurai Limpapath – LEARN Journal: Language Education and Acquisition Research Network, 2024
The purpose of this study was to investigate the relationship of factors influencing behavioral intention to participate in hybrid education of undergraduate university students majoring in English in Chengdu Universities, China. Questionnaires were collected with 450 respondents from three public universities in Chengdu with the reliability…
Descriptors: Undergraduate Students, Student Attitudes, Majors (Students), English (Second Language)
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Soni, Alisha; Bakhru, Kanupriya Misra – International Journal of Learning and Change, 2023
Social entrepreneurship is a planned behaviour and rapidly gaining its importance in society. This complex process can be understood by studying intention which is the single best predictor of subsequent behaviour. It helps in understanding the reasons behind the actions undertaken and the manner in which potential entrepreneurs decide and act to…
Descriptors: Entrepreneurship, Behavior Theories, Intention, Predictor Variables
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Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
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Wu, Ting-Fang; Chen, Cheng-Ming – Journal of Special Education Technology, 2023
The purpose of the current study was to develop an appropriate model to represent the relationships among all the significant factors about information and communication technology use for university students, both with and without learning disabilities. This study was conducted in Taiwan with a sample consisting of an international array of…
Descriptors: College Students, Students with Disabilities, Learning Disabilities, Models
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Kevser Tasel-Jurkovic; Ipek Altinbasak-Farina – Journal of Marketing for Higher Education, 2024
This study aims to develop a comprehensive HEI choice intention (CI) model to understand how social influence (SI), brand equity (BE), and HEI factors influence attitude toward HEI (HEIA) as well as how the HEI attitude is a mediator of the relationship of these variables with the HEI CI. Data collected from 1633 high school seniors via online…
Descriptors: Higher Education, College Choice, Decision Making, Social Influences
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Rokhman, Fathur; Mukhibad, Hasan; Bagas Hapsoro, Bayu; Nurkhin, Ahmad – Cogent Education, 2022
The Covid-19 pandemic makes the government adjust the learning system from face-to-face to e-learning amid restrictions on mass social contact. We develop the Updated Delone and McLean information systems success (D&M ISS) model by incorporating external factors. The newly added constructs include student capability, teacher capability, and…
Descriptors: COVID-19, Pandemics, Educational Technology, Electronic Learning
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Alajmi, Mohammad A.; Alotaibi, Jamella H. – Journal of Electronic Resources Librarianship, 2020
This study investigates the effect of the unified theory of acceptance and use of technology (UTAUT) and DeLone and McLean information system success model (IS success model) on facets of system use for digital library systems. These facets include lean measures (e.g. frequency, duration, and intensity) and rich measures of system use (e.g. deep…
Descriptors: Electronic Libraries, Adoption (Ideas), Information Systems, Models
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Hussain, Suhaidah Binti; Sumiea, Ebrahim Hamid Hasan; Ahmad, Mohd Hanafiah; Kumar, Senthil; Moshood, Taofeeq Durojaye – Journal of Applied Research in Higher Education, 2023
Purpose: In order to ensure effectiveness of staff's performance using online meetings applications during coronavirus disease (COVID-19), having the behavioural intention is mandatory for staff to measure, test, and manage the staff's data. Understanding of Public Higher Education Institution (PHEI) staffs' intention and behaviour toward online…
Descriptors: COVID-19, Pandemics, Public Colleges, Meetings
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Bower, Matt; DeWitt, Dorothy; Lai, Jennifer W. M. – British Journal of Educational Technology, 2020
The recent interest in the use of Immersive Virtual Reality (IVR) in education seems to correspond with the increased affordability, accessibility and functionality of IVR hardware and software. IVR has the potential to enhance immersion, improve spatial capabilities, promote empathy, increase motivation and possibly improve learning outcomes.…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Intention
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Lahrash, Husam A. E.; Elmansori, Mansaf M.; Salama, Mostafa – Journal of Educational Technology, 2021
The current paper conducted a critical analysis on the studies that have been carried out in both developing and developed countries regarding the adoption of e-learning technology based on the Unified Theory of Acceptance and Use of Technology (UTAUT2). The findings indicated that the UTAUT2 model is highly influential for all the models such as…
Descriptors: Educational Research, Adoption (Ideas), Technology Integration, Educational Technology
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Zulherman; Zain, Farah Mohamad; Napitupulu, Darmawan; Sailin, Siti Nazuar; Roza, Liszulfah – European Journal of Educational Research, 2021
The primary goal of this study is to explore what makes teachers accept Google Classroom (GCR). GCR platform is an emerging technology that could support online learning activities by offering outstanding benefits such as usability, flexibility, and task adaptability. Many of the students in Indonesia have already used the GCR platform since the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Adoption (Ideas)
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Ozkan, Umut Birkan; Cigdem, Harun; Erdogan, Tolga – Turkish Online Journal of Distance Education, 2020
The contribution of e-learning technologies, especially LMS which has become an important component of e-learning, is significantly increasing in higher education. It is critical to understand the factors that affect the behavioral intention of students towards LMS use. The aim of this study is to explore predictors of students' acceptance of…
Descriptors: Predictor Variables, Integrated Learning Systems, Expectation, Social Influences
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Ismail, Hany A. – International Journal of Information and Communication Technology Education, 2020
Many educational organizations are using Wikis to enhance virtual learning to encourage knowledge sharing inside between students and instructors. Wiki is an ideal tool for the online knowledge sharing at educational organizations which help to achieve more collaborative work environment between students and instructors. However, educational…
Descriptors: Intention, Knowledge Management, Computer Attitudes, Positive Attitudes
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