Amaneh Mahmoudian
Biographic Data
| ID | 2214786 |
|---|---|
| NAME | Amaneh Mahmoudian |
| GIVEN NAMES | Amaneh |
| FAMILY NAME | Mahmoudian |
| SIGNATURE | MAHMOUDIAN A |
| AFFILIATIONS | PhD in Nursing at the Nursing Care Research Center, Health Research Institute Babol University of Medical Sciences Iran |
| ORCID | 0000-0003-1855-8208 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Cross-cultural adaptation and psychometric evaluation of the artificial intelligence learning intention scale (Ailis) among medical sciences students: A methodological study
BACKGROUND: This study aimed to adapt and psychometrically evaluate the Artificial Intelligence Learning Intention Scale (AILIS) among Iranian medical sciences students. METHODS: This methodological psychometric study was conducted among 800 medical sciences students at Babol University of Medical Sciences, Iran. The AILIS was translated and culturally adapted into Persian using a standardized cross-cultural adaptation process. Construct validity…
Risk factors and the psychological impacts of the Covid-19 outbreak: Perspectives and experiences of Iranian healthcare workers on the frontline
Frontline healthcare workers (HCWs) looking after COVID-19 patients are at high risk of developing mental health problems. Both preventive and interventional initiatives are essential, therefore, to maintain and improve the mental health of HCWs and ultimately to enhance the quality of care that they provide. This qualitative content analysis study, conducted in Iran between September 2020 and February 2021, involved the gathering of data on the …
No prominent works on this page.
Risk factors and the psychological impacts of the Covid-19 outbreak: Perspectives and experiences of Iranian healthcare workers on the frontline
Frontline healthcare workers (HCWs) looking after COVID-19 patients are at high risk of developing mental health problems. Both preventive and interventional initiatives are essential, therefore, to maintain and improve the mental health of HCWs and ultimately to enhance the quality of care that they provide. This qualitative content analysis study, conducted in Iran between September 2020 and February 2021, involved the gathering of data on the …
Cross-cultural adaptation and psychometric evaluation of the artificial intelligence learning intention scale (Ailis) among medical sciences students: A methodological study
BACKGROUND: This study aimed to adapt and psychometrically evaluate the Artificial Intelligence Learning Intention Scale (AILIS) among Iranian medical sciences students. METHODS: This methodological psychometric study was conducted among 800 medical sciences students at Babol University of Medical Sciences, Iran. The AILIS was translated and culturally adapted into Persian using a standardized cross-cultural adaptation process. Construct validity…
AI in Service Interactions (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Burnout (1 works) · Clinical Psychology (1 works) · Clinical Psychology (1 works) · Confirmatory factor analysis (1 works) · Construct validity (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · COVID-19 and Mental Health (1 works) · COVID-19 Pandemic Impacts (1 works)