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Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning performance (LLP) through vocabulary learning performance (VLP) in the context of mobile vocabulary‐assisted listening learning by using two mobile learning tools. Methods: A total of 129 college students with a pre‐intermediate level of English were recruited as participants, and a 10‐week mobile vocabulary‐assisted, listening‐learning course was conducted in 2022. In each task of this course, the students had to learn target words from a listening passage on Quizlet and then engage in listening activities on Randall's ESL Cyber Listening Lab. Quantitative responses obtained through an online questionnaire were analysed through partial‐least‐squares structural equation modelling. Results: The analysis results indicated that BI significantly predicted LLP through VLP. Perceived ease of use (PEU) and perceived usefulness (PU) were significant antecedents of BI. However, PEU did not significantly predict PU because of the difficulty of navigating between the two technological tools used in this study. The extended model demonstrated its effectiveness in explaining listening learning performance, as evidenced by an explained variance (R2) of 69%. Conclusion: The extended model validates the influence of BI on learning performance and it can also draw teachers' focus toward the significance of enhancing students' BI to improve their listening learning performance. Pedagogical implications based on the results are provided in this paper. Lay Description: What is already known about this topic?: TAM was used to study learners' acceptance of mobile‐assisted language learning.TAM incorporates latent variables to explore mobile‐assisted language learning.Investigating factors influencing BI is a primary research focus in extended TAM literature.Mobile tools could improve listening learning and vocabulary retention. What this paper adds to that: Learning performance was considered as a dependent variable in an extended TAM.BI might predict students' learning performance in vocabulary and listening in an extended TAM.Teachers used two mobile tools to design mobile vocabulary‐assisted listening tasks.Pre‐learning the target words facilitate students' listening learning performance. Implications for practice and/or policy: We show the importance of BI on predicting listening learning performance.The impact of BI on other factors became another focus of TAM research.Results highlight pre‐learning target words' importance for better listening performance.Existing mobile tools improve listening performance, avoiding new system development. [ABSTRACT FROM AUTHOR]

Background: Changing the food environment is an important public health lever for encouraging sustainable food choices. Targeting the availability of vegetarian main meals served in cafeterias substantially affects food choice, but acceptability has never been assessed. We examined the effects of an availability intervention at a French university cafeteria on students' main meal choices, meal offer satisfaction and liking. Methods: A four-week controlled trial was conducted in a university cafeteria in Dijon, France. During the two-week control period, vegetarian main meals constituted 24% of the offer. In the subsequent two-week intervention period, this proportion increased to 48%, while all the other menu items remained unchanged. Students were not informed of the change. Student choices were tracked using production data, and daily paper ballots were used to assess student satisfaction with the meal offer and liking of the main meal they chose (score range [1;5]). Nutritional quality, environmental impact, and cost of production of meal choices were calculated for each lunchtime. Food waste was measured over 4 lunchtimes during control and intervention periods. An online questionnaire collected student feedback at the end of the study. Results: Doubling availability of vegetarian main meals significantly increased the likelihood of choosing vegetarian options (OR = 2.57, 95% CI = [2.41; 2.74]). Responses of the paper ballots (n = 18,342) indicated slight improvements in meal offer satisfaction from 4.05 ± 0.92 to 4.07 ± 0.93 (p = 0.028) and in liking from 4.09 ± 0.90 to 4.13 ± 0.92 (p < 0.001) during control and intervention periods, respectively. The end-of-study questionnaire (n = 510) revealed that only 6% of students noticed a change the availability of vegetarian main meals. The intervention led to a decrease in the environmental impact of the main meals chosen, a slight decrease in nutritional quality, a slight increase in meal costs and no change in food waste. Conclusions: Doubling availability of vegetarian main meals in a university cafeteria resulted in a twofold increase in their selection, with students reporting being more satisfied and liking the main meals more during the intervention period. These results suggest that serving an equal proportion of vegetarian and nonvegetarian main meals could be considered in French university cafeterias to tackle environmental issues. Trial registration: Study protocol and analysis plan were pre-registered on the Open Science Framework (https://osf.io/pf3x7/). [ABSTRACT FROM AUTHOR]

Student feedback literacy has been the subject of much conceptual literature; however, relatively little intervention research has investigated how and if it can be developed. Further, no evaluation of the current empirical literature has been conducted to assess which elements of feedback literacy can be successfully improved in practice, and which elements need further investigation. This paper seeks to explore how different aspects of feedback literacy have been developed in higher education. A scoping review was conducted to address the foci, nature and success of interventions. The review found evidence that educational interventions enhanced feedback literacy in students, such as managing perceptions and attitudes, and having more confidence and agency in the feedback process. While some interventions have an effect on influencing student feedback literacy, both improved study design and intervention design are required to make the most of future feedback literacy interventions. [ABSTRACT FROM AUTHOR]

Although the fictional domain exhibits a prima facie freedom from real-world moral constraints, certain fictive imaginings seem to deserve moral criticism. Capturing both intuitions, this paper argues for double-standard moralism, the view that fictive imaginings are subject to different moral standards than their real-world counterparts. I show how no account has, thus far, offered compelling reasons to warrant the moral appropriateness of this discrepancy. I maintain that the normative discontinuity between fiction and the actual world is moderate, as opposed to one that leaves fictive engagements wholly exempt from moral evaluations. I propose a way of addressing the gamer's dilemma that is compatible with a moderate kind of discontinuity. Finally, I contend that the audience is justified in adopting deviant moral attitudes in fictional situations because their consequences largely differ from those that analogous real-world events would have. [ABSTRACT FROM AUTHOR]

In recent years, the accelerated aging process in China has brought enormous pressure on the traditional aged care system. The private family-based aged care mode cannot resolve the contradiction between the insufficient labor force and a large elderly population. The public community-based aged care mode could effectively integrate various social resources such as housing, healthcare, land, education, etc., which may better meet diverse elderly care demands. The senior residents' evaluation of public aged care services is essential for local pension policy making, determining the local government's investment direction to some extent. Therefore, this research organizes a decision group to conduct the evaluation of alternative aged care service projects with Maslow's hierarchy-based evaluation framework. The decision group consists of senior citizens from the Xiaolingwei community in Nanjing, which is a deeply aging metropolis with the flourishing aged care service market and demand. Considering the aged residents' inherent preference differences rooted in living habits, cultural background, and risk attitude, it is essential to introduce an effective consensus model into the group evaluation to control opinion conflict and reach consensus. The current consensus models still have the following limitations: consensus models depend on the preset empirical consensus threshold, hardly reflecting the spontaneous consensus emergence; the inconsistency of group consensus opinion harms the reliability and effectiveness of group decision; the existing methods generally identify the non-cooperative behavior passively, lacking the adaptive and active management. Therefore, this paper develops the consensus emergence model driven by the social learning mechanism based on the BA scale-free network and the Bayesian learning rule, guiding the self-adaptive opinion evolution and the spontaneous consensus convergence. The novel consensus model includes three crucial parts: the environment network construction, the private cognition formation, and the individual preference modification. The proposed consensus emergence model has outstanding advantages in consensus consistency through spontaneous opinion evolution, the adaptive consensus emergence with greater consensus efficiency, and the consensus robustness under non-cooperators disturbance. [ABSTRACT FROM AUTHOR]

Identity sharing systems, regardless of their architectural models, share common vulnerabilities. These systems compel users to divulge personal information and furnish proof of identity for accessing services, leaving them susceptible to data breaches that can culminate in identity theft and jeopardize online data security. While blockchain technology offers a potential remedy, delivering enhanced security, immutability, and traceability, it simultaneously raises pertinent concerns surrounding privacy and transparency. The integration of zero-knowledge proof (ZKP) technology has emerged as a promising solution, particularly in enhancing privacy within the transparent blockchain ecosystem. Our paper conducts an exhaustive survey of the existing literature, with a particular focus on the assimilation of ZKP technology into blockchain for the secure sharing of user identities. We undertake a critical evaluation of the advancements achieved in this domain, pinpoint the formidable challenges that must be confronted, and uncover nascent opportunities for further exploration. Our contribution transcends the realms of mere summarization and analysis; we go a step further by offering recommendations drawn from real-world case studies and delineating future research directions. [ABSTRACT FROM AUTHOR]