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Suzhen Duan; Marisa Exter; Qing Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Preservice teachers' beliefs regarding technology integration significantly influence their future teaching practices. This qualitative study examines the beliefs and intentions of 51 preservice teachers within the context of technology integration in their envisioned teaching scenarios. Thematic analysis identified three primary themes. Firstly,…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Technology Integration
Yu-xi Wang; Li-ping Chen; Jia-yin Han – Education and Information Technologies, 2024
The study of students' willingness to use translation technology can motivate students to use the translation technology and improve their translation efficiency. This paper reports on a survey which collected 716 valid questionnaires from students in the Master-level Program in Translation and Interpreting. Structural equation modeling (SEM) was…
Descriptors: Student Attitudes, Graduate Students, Translation, Information Technology
Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
Jian Dai; Xing Zhang; Chengliang Wang – Education and Information Technologies, 2024
The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…
Descriptors: Educational Technology, Technology Uses in Education, Intention, Online Courses
Ruijuan Li; Yuanchun Zhou; Hua Wang; Qi Wang – International Journal of Sustainability in Higher Education, 2025
Purpose: Reusable takeaway food containers (RTFCs) are a newly emerging green packaging choice for the takeaway industry that can effectively reduce campus solid waste but are not yet well accepted. Therefore, this study aims to identify the key factors influencing university students' intention to choose RTFCs, seeking to enhance RTFC project…
Descriptors: College Students, Intention, Decision Making, Recycling
Liu, Shuiyin; Huang, Fang – Journal of Pedagogical Research, 2023
Although Massive Open Online Courses (MOOCs) have attracted extensive attention among educational stakeholders, the issue of the high dropout rate has yet to be solved. The current study aimed to unpack teacher influence on MOOCs learners' continuance learning intention, and to examine the mediating roles of students' perceived usefulness and…
Descriptors: MOOCs, Intention, Student Attitudes, Value Judgment
Kashive, Neerja; Phanshikar, Dharini – Smart Learning Environments, 2023
This study aimed to identify the factors, which affect the continuance of mobile learning. The study has looked at epistemological, social, and security risk factors based on Magsayo (Interact Technol Smart Educ 20(2):177-208) and how they affect the perceived functional benefits (PFB) and perceived learner value (PLV). Further locus of control…
Descriptors: Intention, Electronic Learning, Handheld Devices, Value Judgment
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
An Expectancy Value Theory (EVT) Based Instrument for Measuring Student Perceptions of Generative AI
Chan, Cecilia Ka Yuk; Zhou, Wenxin – Smart Learning Environments, 2023
This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…
Descriptors: Student Attitudes, College Students, Artificial Intelligence, Technology Uses in Education
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
Shuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
B. Herawan Hayadi; Taqwa Hariguna – Contemporary Educational Technology, 2025
This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…
Descriptors: Student Behavior, Intention, Telecommunications, Handheld Devices
Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
Xie, Yongxiang; He, Jun – Psychology in the Schools, 2023
The existing literature mainly examines the impact of academic self-efficacy on academic achievement in educational psychology. Much less is known about the relationship between outcome expectations and adolescent academic achievement. This article applies the random intercept model to investigate the association between Chinese adolescent…
Descriptors: Foreign Countries, Adolescents, Academic Achievement, Student Attitudes
Wang, Faming; King, Ronnel B.; Chai, Ching Sing; Zhou, Ying – International Journal of Educational Technology in Higher Education, 2023
Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy-value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive…
Descriptors: Artificial Intelligence, College Students, Intention, Student Attitudes