Frontiers of digital education., Год журнала: 2025, Номер 2(1)
Опубликована: Март 1, 2025
Язык: Английский
International Journal of Technology and Design Education, Год журнала: 2025, Номер unknown
Опубликована: Янв. 8, 2025
Язык: Английский
Процитировано
0
International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 14
Опубликована: Янв. 8, 2025
This study explores the motivations driving Chinese consumers to share information about aquatic product safety risks related radioactive wastewater discharge on social media, with a specific focus role of Artificial Intelligence Generated Content (AIGC) and prior information-seeking activities. The examines key variables such as risk perception, outcome expectations, influence AIGC literacy in shaping attitudes, norms, sharing efficacy. Data from 501 participants were analyzed using structural equation modeling. findings indicate that evaluations personal expectations significantly motivate sharing, while deter it. Additionally, enhances both knowledge acquisition efficacy, seeking increases self-efficacy further fostering sharing. These results provide critical insights into how environmental is processed disseminated emphasizing AIGC's influencing this process.
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 27, 2025
Язык: Английский
Процитировано
0
International Electronic Journal of Mathematics Education, Год журнала: 2025, Номер 20(2), С. em0825 - em0825
Опубликована: Фев. 19, 2025
ChatGPT was a learning revolution known as an online program for Algebra; it changed what we knew about the teaching medium and molded platform into more engaging way of teaching. This research determines use in addressing math anxiety promoting confidence college students enrolled algebra at Philippine state university. Using purposive sampling technique descriptive correlational method utilized by employing three-part questionnaire to 320 selected using sampling. The gathered quantitative data were treated frequency, mean, standard deviation, Chi-square test independence. study revealed that most respondents are College Arts Sciences, aged 22 23, female, full-time first-year who agreed addressed Algebra promoted confidence, resulting very good score on performance test. Also, reveals students' is significantly related which they belong respondents’ ages. Furthermore, shows students’ correlates with promote confidence. instruction has shown promising results raising student suggests including instructional materials. researcher integrating course materials diverse practical settings.
Язык: Английский
Процитировано
0
Educational Technology Research and Development, Год журнала: 2025, Номер unknown
Опубликована: Март 25, 2025
Язык: Английский
Процитировано
0
Journal of Global Information Management, Год журнала: 2025, Номер 33(1), С. 1 - 22
Опубликована: Март 29, 2025
With the rapid development of Generative AI technology, businesses need their marketers to adopt it assist in completing job tasks. However, are not entirely optimistic and may feel anxious concerned about it. This research explores how anxiety affects marketers' AI-generated content intention. Based on social cognitive theory, this study empirically examines impact intention use content, including mediating role trust moderating effect self-efficacy. Using survey data from 495 marketers, we found that privacy, bias, opacity negatively correlate with weaken content. Furthermore, relationship is moderated by self-efficacy, where negative significantly mitigated when possess These findings enrich marketing help organizations focus resistance adopting reduce adverse effects anxiety.
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Март 31, 2025
Язык: Английский
Процитировано
0
Frontiers in Education, Год журнала: 2024, Номер 9
Опубликована: Март 8, 2024
Background Individual beliefs about one’s ability to carry out tasks and face challenges play a pivotal role in academic professional formation. In the contemporary technological landscape, Artificial Intelligence (AI) is effecting profound changes across multiple sectors. Adaptation this technology varies greatly among individuals. The integration of AI educational setting has necessitated tool that measures self-efficacy concerning adoption use technology. Objective To adapt validate short version General Self-Efficacy Scale (GSE-6) for (GSE-6AI) university student population. Methods An instrumental study was conducted with participation 469 medical students aged between 18 29 ( M = 19.71; SD 2.47). GSE-6 adapted context, following strict translation cultural adaptation procedures. Its factorial structure evaluated through confirmatory analysis (CFA). Additionally, invariance scale based on gender studied. Results GSE-6AI exhibited unidimensional excellent fit indices. All item loads surpassed recommended threshold, both Cronbach’s Alpha (α) McDonald’s Omega (ω) achieved value 0.91. Regarding by gender, proved maintain its meaning men women. Conclusion valid reliable measuring students. gender-related make it robust versatile future research practical applications contexts.
Язык: Английский
Процитировано
4
International Journal of Didactical Studies, Год журнала: 2024, Номер unknown
Опубликована: Май 24, 2024
Язык: Английский
Процитировано
4