Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Buletin Edukasi Indonesia Buletin Ilmu Kebidanan dan Keperawatan
Cariño, Ramil Edward V.
Unknown Affiliation
Humanities Education Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
The Strong Connection Between Anxiety, Stress, and Digitalization in Education Ratsameemonthon, Chadchom; Subardjo, Ratna Yunita Setiyani; Ignacio, Charmae B.; Cariño, Ramil Edward V.; Romero, Cyril B.; Vasquez-Salcedo, Ma. Zandra Bonnine
Buletin Edukasi Indonesia Vol. 4 No. 02 (2025): Buletin Edukasi Indonesia
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bei.v4i02.958

Abstract

This study explores the complex relationship between anxiety, stress, and the digitalization of education among students. The transition to online learning and the increasing reliance on digital tools have intensified the challenges students face in adapting to new educational technologies. The demands for constant connectivity, the overwhelming amount of information, and the need to navigate digital platforms contribute to heightened stress and anxiety. Additionally, the reduction in face-to-face interactions and the prevalence of social comparison on digital platforms have further exacerbated mental health issues. This review synthesizes existing research on the impacts of digital education, emphasizing the need for strategies that address students’ psychological well-being. By understanding the factors that contribute to anxiety and stress, educators can create more supportive digital learning environments, promoting both academic success and mental health.
The Role of Artificial Intelligence in Midwifery: A Scoping Review of Benefits, Challenges, and Ethical Implications Romero, Cyril B.; Cariño, Ramil Edward V.; Ignacio, Charmae B.
Buletin Ilmu Kebidanan dan Keperawatan Vol. 4 No. 02 (2025): Buletin Ilmu Kebidanan dan Keperawatan
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bikk.v4i02.915

Abstract

Artificial Intelligence (AI) is rapidly transforming healthcare and holds significant potential to improve maternal and neonatal outcomes through its application in midwifery. This scoping review investigates the role of AI in midwifery, emphasizing its benefits, challenges, and ethical implications. Guided by the Arksey and O’Malley framework, a systematic literature search was conducted using Google Scholar (2014–2024) via the Publish or Perish software, with keywords including "Artificial Intelligence in Midwifery," "AI and Maternal Health," and "Machine Learning in Obstetrics." A total of 15 articles were reviewed. The findings reveal five key areas where AI contributes to midwifery practice: (1) early detection of pregnancy complications such as preeclampsia and gestational diabetes using predictive machine learning models; (2) remote monitoring of pregnancy through wearable devices and mobile applications; (3) use of virtual assistants and chatbots for patient education and psychological support; (4) optimization of healthcare facility management, including electronic health records and resource allocation; and (5) AI-based training simulations for midwives to enhance clinical competencies. While these advancements offer promising improvements, challenges remain, including high implementation costs, limited infrastructure, and data privacy concerns. Ethical considerations stress the importance of ensuring AI complements—rather than replaces—the empathetic, human-centered care that is central to midwifery. This review highlights the transformative potential of AI in midwifery and advocates for its ethical and balanced integration to maximize benefits for maternal and neonatal health.
Co-Authors Ignacio, Charmae B. Ratsameemonthon, Chadchom Romero, Cyril B. Subardjo, Ratna Yunita Setiyani Vasquez-Salcedo, Ma. Zandra Bonnine