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Yun-Qi Bai; Jia-Wen Jiang – Interactive Learning Environments, 2024
The research on the influencing factors of the use of digital learning resources is the focus of this field. Although a large number of empirical studies involve the discussion of influencing factors, the conclusions of different studies are also different. Through meta-analysis, taking 146 effect values and 9996 independent research objects in 19…
Descriptors: Educational Technology, Educational Resources, Influences, Intention
Lin, Jian-Wei; Tsai, Chia-Wen; Hsu, Chu-Ching – Interactive Learning Environments, 2023
Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…
Descriptors: Comparative Analysis, Evaluation Methods, Formative Evaluation, Game Based Learning
Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
Hüseyin Ates; Juan Garzón; Georgios Lampropoulos – Interactive Learning Environments, 2024
Flipped learning has become an ally in education. However, although the literature has identified multiple benefits of using this strategy to improve student learning outcomes, its adoption and implementation by teachers in science education remain scarce. This study examines antecedents of science teachers' flipped teaching readiness to act,…
Descriptors: Science Teachers, Flipped Classroom, Readiness, Teaching Methods
Xingyuan Wang; Yingying Du; Shuyang Wang; Yun Liu – Interactive Learning Environments, 2024
With the large number of online courses currently available, learners may have difficulty choosing the appropriate course, so online education institutions have launched a free trial marketing approach. The factors influencing learners' continuous usage of online courses in the mode of course trial have become a prominent and meaningful topic.…
Descriptors: Electronic Learning, Management Information Systems, Course Content, Usability
Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
Kamarudin, Suzilawati; Shoaib, Haneen Mohammad; Jamjoom, Yussra; Saleem, Muhammad; Mohammadi, Parisa – Interactive Learning Environments, 2023
This study investigates students' behavioural intention towards e-learning practices through the augmented reality app during the COVID-19 pandemic. It extends the literature on the effectiveness of e-learning through the augmented reality app by investigating the students' social, personal, emotional, and cognitive roles in their behavioural…
Descriptors: Foreign Countries, Student Behavior, Intention, Electronic Learning
Chih-Hsing Liu; Jeou-Shyan Horng; Sheng-Fang Chou; Tai-Yi Yu; Yung-Chuan Huang; Yen-Ling Ng; Jun-You Lin – Interactive Learning Environments, 2024
The current study provides an integrated comprehensive analysis of mediation-moderation models to understand 567 tourism and hospitality students' viewpoints by exploring multidisciplinary contributions relevant to the big data and new technology application bodies of literature. The results show that self-efficacy was the primary motivation…
Descriptors: Foreign Countries, College Students, Tourism, Hospitality Occupations
Paul Bazelais; Gurinder Binner; Tenzin Doleck – Interactive Learning Environments, 2024
As an important tool for STEM education, online labs have gained significant research attention. However, our understanding of online labs is limited by the inattention to the factors that contribute to the acceptance of online labs. This study adopts the UTAUT model to investigate the salient determinants of use of online labs. We test the…
Descriptors: Foreign Countries, High School Students, College Bound Students, Physics
Zhang, Zhaoli; Cao, Taihe; Shu, Jiangbo; Liu, Hai – Interactive Learning Environments, 2022
The successful application of the e-learning system is of great significance to the implementation, management and continuous improvement of blended learning in higher education. Hence, we focused on identifying key factors affecting college students' adoption of the e-learning system in mandatory blended learning environments. In this study, the…
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Electronic Learning
Saleem, Muhammad; Kamarudin, Suzilawati; Shoaib, Haneen Mohammad; Nasar, Asim – Interactive Learning Environments, 2023
Augmented reality apps are a novel technology in e-learning that enhances students' learning faster in virtual classrooms. Since the start of the COVID-19 pandemic, traditional teaching mechanisms pushed back due to the quick spread of Coronavirus disease. This study investigates university students' intention towards e-learning through augmented…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Lai, Horng-Ji – Interactive Learning Environments, 2020
Mobile devices, such as smartphones and tablets, have been widely adopted by older adults and have been shown to have a great influence on their daily lives. This study examined the use of mobile computing devices for learning among older adults, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The objectives of this study…
Descriptors: Older Adults, Handheld Devices, Electronic Learning, Technology Uses in Education
Chang, I.-Chiu; Lin, Chih-Yu; Wen, Chia-Hsien; Lo, Huan-Kuei; Ho, Tsung-Jung – Interactive Learning Environments, 2020
The aim of this study is to evaluate a 3D (Three Dimensional) Traditional Chinese Medicine (TCM) e-learning platform and determine the factors affecting students' intention to continue to use the platform in TCM courses. Students from two classes were invited to participate in the experiment. To compare the effectiveness of both learning methods,…
Descriptors: Intention, Computer Peripherals, Printing, Educational Technology
Olasina, Gbolahan – Interactive Learning Environments, 2019
It is significant to highlight that educational technologies cannot improve academic performance if they are not widely accepted and used. Unfortunately, the decision not to accept e-learning continues to be a fundamental issue. The current research provided an alternative lens to view a decision to accept and use technology in a developing…
Descriptors: Electronic Learning, Decision Making, Adoption (Ideas), Undergraduate Students
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