With the rapid development of mobile devices, users can now read on the screen. Electronic reading (e-reading) has become a common reading style with the growth in online learning or electronic learning (e-learning). E-book applications (APPs) are widely developed and applied for reading on a screen. However, it is difficult for readers to change their reading habits or preference from paper-printed books to digital devices. The study of readers' continuance intention to use e-book APPs is the first step to improving e-reading. This study focuses on the influential factors on undergraduates' continuance intention of e-book APPs, which analyzed and summarized the literature related to the electronic book (e-book) applications (APPs) and undergraduates' continuous intention, combined with the characteristics of the e-book APPs, introduced relevant theories and variables, and established the factors that influence undergraduates' continuous intention of using e-book APPs. On this basis, the paper analyzed the relationship between various influencing factors and their influence on continuous intention. A model composed of five hypotheses was constructed to test the factors influencing undergraduates' continuous intention in e-book APPs. The results indicated that of all research variables, satisfaction is the most important factor that affects continuous intention; Perceived usefulness and perceived playfulness have an indirect effect on continuous intention through satisfaction; personalization has direct effects on perceived usefulness and perceived playfulness, so it also has an indirect effect on continuous intention. The findings of the study will be helpful for designers and developers of e-book APPs and provide e-book APP suggestions for readers as well.
In the context of the Internet for education, informatized teaching has become the most basic and critical ability of teachers. The application of advanced information technology in education means that the improvement in teaching ability requires instructors to better utilize teaching and learning opportunities. Project-based learning is an inquiry-based learning method that embodies learning by doing. With respect to the training of informatization teaching for pre-service teachers, we choose three aspects: information-based instructional design, information-based teaching resource integration, and information-based teaching evaluation, respectively, from PowerPoint (PPT) skills, multimedia courseware production, and micro lectures. This study explores three experimental projects and undertakes detailed empirical growth research on the cultivation of pre-service teachers. We were able to enhance the informatization teaching design ability of pre-service teachers with the training of PPT skills. In this experiment, we found that integration of information-based teaching resources can be improved by the integration of multimedia courseware production. Information teaching evaluation can be improved through micro lecture production. The mechanism provides a more feasible and practical strategy for the training of pre-service teachers in their informatization teaching ability.
Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted learning environments have been implemented in classrooms to facilitate the innovation of pedagogical models. However, college students' willingness to accept (WTA) AI-assisted learning environments has been ignored. Exploring the factors that influence college students' willingness to use AI can promote AI technology application in higher education. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the theory of perceived risk, this study identified six factors that influence students' willingness to use AI to analyze their relationships with WTA AI-assisted learning environments. A model including six hypotheses was constructed to test the factors affecting students' WTA. The results indicated that college students showed “weak rejection” of the construction of AI-assisted learning environments. Effort expectancy (EE), performance expectancy (PE), and social influence (SI) were all positively related to college students' WTA AI-assisted learning environments. Psychological risk (PR) significantly negatively influenced students' WTA. The findings of this study will be helpful for carrying out risk communication, which can promote the construction of AI-assisted learning environments.
The Internet era of the modern day means that information technology no longer depends on computer theory. Instead, new education methods are used for innovative application. Therefore, the task-driven classroom teaching method is integrated into information technology teaching of junior middle school by designing specific cases. From the theoretical knowledge teaching and the comprehensive operational practice teaching, we explore the effect of using the task-driven classroom learning method on students’ learning attitudes and learning effectiveness in an information technology course. The experimental results show that using the task-driven classroom teaching method has significant positive correlation on student learning performance, learning interest, and creative thinking. This idea can stimulate interest in learning and improve the comprehensive quality of students; thus, it can promote the reform of information technology education and curriculums. For a more detailed discussion, the results will be discussed in this paper.
During the COVID-19 pandemic, as offline learning activities were blocked, teachers’ training activities were moved from face-to-face to online training. Therefore, teachers had to join an increasing number of online training sessions. However, few studies have focused on teachers’ satisfaction with online training. To address this gap, based on the American user satisfaction theory model (ACSI), this study established the factors of expectation of online training quality, perceived online training quality, perceived online training value, and teacher satisfaction with online learning, and aimed to explore their relationships with six hypotheses. A total of 397 middle school teachers who had online training experience participated in the survey through an online questionnaire. SPSS 26.0 and AMOS 23.0 were used to analyze the data. The results showed that (1) expectation of online training quality was positively correlated with perceived online training quality; (2) expectation of online training quality was negatively correlated with perceived online training value; (3) perceived online training quality was positively correlated with perceived online training value; and (4) perceived online training value was positively correlated with online training satisfaction. The findings imply that teachers should be informed in advance of various difficulties that may be encountered in online training, so as to reduce their expectations of online training quality. In addition, in order to improve teachers’ perceived quality and perceived value of online training, intervention strategies should be proposed, online training platforms should be optimized, and online training methods should be innovated to improve teachers’ sustainable development ability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.