AIMC Topic: Self Efficacy
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The role of artificial intelligence literacy and innovation mindset in shaping nursing students' career and talent self-efficacy.
Nurse education in practice
Dec 1, 2024
BACKGROUND: As artificial intelligence (AI) transforms nursing education, AI literacy is becoming a critical necessity for increasing the career potential and talent of nursing students. Additionally, fostering an innovation mindset promotes adaptabi...
The Impact of Medical Explainable Artificial Intelligence on Nurses' Innovation Behaviour: A Structural Equation Modelling Approach.
Journal of nursing management
Sep 26, 2024
This study aims to investigate the influence of medical explainable artificial intelligence (XAI) on the innovation behaviour of nurses, as well as explore the dual-pathway mediating effect of AI self-efficacy and AI anxiety and organizational ethic...
A machine-learning model of academic resilience in the times of the COVID-19 pandemic: Evidence drawn from 79 countries/economies in the PISA 2022 mathematics study.
The British journal of educational psychology
Sep 22, 2024
BACKGROUND: Given that students from socio-economically disadvantaged family backgrounds are more likely to suffer from low academic performance, there is an interest in identifying features of academic resilience, which may mitigate the relationship...
Artificial intelligence tools utilized in nursing education: Incidence and associated factors.
Nurse education today
Aug 14, 2024
BACKGROUND: Artificial intelligence technology is among the most significant advancements that provide students with effective learning opportunities in this digital era. Therefore, the National League for Nursing states that it is necessary to refra...
Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence.
Scientific reports
Aug 9, 2024
The emergence of generative AI technologies has led to an increasing number of people collaborating with AI to produce creative works. Across two experimental studies, in which we carefully designed and programmed state-of-the-art human-AI interfaces...
The impact of deep learning based- psychological capital with ideological and political education on entrepreneurial intentions.
Scientific reports
Aug 5, 2024
The aim of this study is to investigate the influence of psychological capital on college students' entrepreneurial intentions. Through a combination of relevant analysis and linear regression, the primary focus is on exploring the relationship betwe...
The effect of sequential combination of mirror therapy and robot-assisted therapy on motor function, daily function, and self-efficacy after stroke.
Scientific reports
Oct 6, 2023
Robot-assisted therapy and mirror therapy are both effective in promoting upper limb function after stroke and combining these two interventions might yield greater therapeutic effects. We aimed to examine whether using mirror therapy as a priming st...
Predicting Academic Self-Efficacy Based on Self-Directed Learning and Future Time Perspective.
Psychological reports
Jul 28, 2023
The purpose of this study was to investigate the relationship between teacher candidates' academic self-efficacy, self-directed learning, and future time perspective. A dual-stage analytical approach, utilizing both traditional structural equation mo...
Game-based learning as training to use a chemotherapy preparation robot.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Jun 8, 2023
INTRODUCTION: In 2015, our university hospital pharmacy acquired the PharmaHelp robot system to automate part of its chemotherapy production. Complex technical use, downtime periods, and insufficient training caused a drop in motivation and dispariti...
Modulations of one's sense of agency during human-machine interactions: A behavioural study using a full humanoid robot.
Quarterly journal of experimental psychology (2006)
Jun 2, 2022
Although previous investigations reported a reduced sense of agency when individuals act with traditional machines, little is known about the mechanisms underpinning interactions with human-like automata. The aim of this study was twofold: (1) to inv...
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