AIMC Topic: Self Efficacy
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What is the influence of psychosocial factors on artificial intelligence appropriation in college students?
BMC psychology
Jan 4, 2025
BACKGROUND: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian univers...
Exploring the acceptance of virtual reality training systems among construction workers: a combined structural equation modeling and artificial neural network approach.
Frontiers in public health
Dec 18, 2024
Virtual Reality Training System (VRTS) has been verified effective in safety training in the construction field. However, in China, it is not widely used as a regular training tool. Among all the reasons, the acceptance level of construction workers ...
Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial.
International journal of medical informatics
Dec 17, 2024
OBJECTIVE: To evaluate the effectiveness and usability of an AI-assisted tool in providing real-time assistance to counselors during suicide prevention helpline conversations.
Evaluating Human-Robot Interactions to Support Healthy Aging-in-Place.
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Dec 16, 2024
Declines in older adults' cognitive and physical health pose challenges to maintaining their independence. Robots can improve independent living and facilitate aging-in-place. Despite recent innovations in healthcare robotics, the use of robots has n...
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...
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