AIMC Topic: Surveys and Questionnaires
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Artificial intelligence and employee outcomes: Investigating the role of job insecurity and technostress in the hospitality industry.
Acta psychologica
Jan 17, 2025
Drawing on self-determination theory (SDT), this research examines how the utilization of artificial intelligence (AI) in hospitality organizations is influencing employee work and career outcomes (well-being and career success). We explore the under...
Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.
BMC medical education
Jan 17, 2025
BACKGROUND: The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. The study aimed to assess students' percepti...
Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data.
PloS one
Jan 17, 2025
A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage o...
Development and validation of an automated machine for self-injury assessment via young Koreans' natural writings.
PloS one
Jan 16, 2025
Self-injury is common in all countries, and 20% of South Korean youths experience self-injury. One of the barriers to assessment and treatment planning is the tendency of young self-injurers to conceal their identities. Following a new stream of rese...
A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown.
Work (Reading, Mass.)
Jan 15, 2025
BackgroundThe COVID-19 pandemic has significantly disrupted daily life and education, prompting institutions to adopt online teaching.ObjectiveThis study delves into the effectiveness of these methods during the lockdown in Pakistan, employing machin...
A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models.
Frontiers in public health
Jan 15, 2025
BACKGROUND AND OBJECTIVE: This study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these perspectives with sociodemographic factors and ...
The role of STEM teachers' emotional intelligence and psychological well-being in predicting their artificial intelligence literacy.
Acta psychologica
Jan 14, 2025
This study explores the role of emotional intelligence and psychological well-being in predicting artificial intelligence literacy among STEM teachers. A total of 383 Chinese STEM teachers from Henan, Zhejiang, and Yunnan provinces participated. The ...
Prediction and unsupervised clustering of fertility intention among migrant workers based on machine learning: a cross-sectional survey from Henan, China.
BMC public health
Jan 14, 2025
BACKGROUND: Although China has implemented multiple policies to encourage childbirth, the results have been underwhelming. Migrant workers account for a considerable proportion of China's population, most of whom are of childbearing age. However, few...
Exploring the role of moxibustion robots in teaching: a cross-sectional study.
BMC medical education
Jan 13, 2025
BACKGROUND: Artificial intelligence has gradually been used into various fields of medical education at present. Under the background of moxibustion robot teaching assistance, the study aims to explore the relationship and the internal mechanism betw...
Efficacy and empathy of AI chatbots in answering frequently asked questions on oral oncology.
Oral surgery, oral medicine, oral pathology and oral radiology
Jan 11, 2025
OBJECTIVES: Artificial intelligence chatbots have demonstrated feasibility and efficacy in improving health outcomes. In this study, responses from 5 different publicly available AI chatbots-Bing, GPT-3.5, GPT-4, Google Bard, and Claude-to frequently...
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