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Yalin Li; Min Zhao – Interactive Learning Environments, 2024
Massive Open Online Courses (MOOCs) are the product of "internet + education", offering open educational resources to global students. This study analyzed the factors influencing students' intention to continue using MOOCs based on their satisfaction. To achieve research objectives this study integrates the unified theory of acceptance…
Descriptors: MOOCs, Interpersonal Relationship, Influences, Student Attitudes
Wang, Yu-Min; Wang, Yi-Shun; Wang, Yu-Yin – Interactive Learning Environments, 2023
Crowdsourcing is an emerging web-enabled method to gain external expertise and ideas on tasks or projects. Mass contributions from the crowd are the key to the success and effectiveness of crowdsourcing. University students are important potential users and promising sources of contributions in the crowdsourcing context. However, little is known…
Descriptors: College Students, Intention, Electronic Publishing, Collaborative Writing
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
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
Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
Barrett, Alex; Pack, Austin; Guo, Yajing; Wang, Ningjuan – Interactive Learning Environments, 2023
Virtual reality is a rapidly developing technology and its applications are being explored in a variety of educational fields. While an increasing amount of attention is being paid to VR as a language learning tool, there remains less research on using VR with languages other than English. Adapting the Technology Acceptance Model, this study…
Descriptors: Second Language Learning, Chinese, Educational Technology, Technology Uses in Education
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
Solórzano-García, Marta; Navio-Marco, Julio; Laguia, Ana – Interactive Learning Environments, 2022
This paper looks in more depth at an analysis of MOOC students' social entrepreneurial intentions, their profiles and motivations, especially as regards the tensions between internal and external motivations and the influence of the environment on the decision to set up a social enterprise. It also offers insights into online education for social…
Descriptors: MOOCs, Entrepreneurship, Intention, Student Characteristics
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
Khlaisang, Jintavee; Teo, Timothy; Huang, Fang – Interactive Learning Environments, 2021
This study investigated factors that influenced university students' intentions to use smart applications in flipped learning (FL) in Thailand flipped classrooms (FC) by extending the technology acceptance model (TAM) as the research model. Eight variables including relative advantage (ADV), peer influence (PI), school support (SS), reputation…
Descriptors: Flipped Classroom, Foreign Countries, College Students, Technology Uses in Education
Al-Maroof, Rana Saeed; Salloum, Said A.; Hassanien, Aboul Ella; Shaalan, Khaled – Interactive Learning Environments, 2023
This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation…
Descriptors: COVID-19, Pandemics, Fear, Educational Technology
Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational 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
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