PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 10, 2026International Medical Education0 citationsOpen Access

Lifelong Learning in the Age of AI: An Investigation of Trust in Generative AI Among Health Profession Students

View Full Paper
OBOksana Babenko

Key Points

  • This research aims to explore how generative AI usage affects trust among health profession students to support their lifelong learning.
  • Cross-sectional study design using a survey methodology.
  • Survey included sociodemographic variables and questions on generative AI use.
  • Data analyzed using descriptive and inferential statistical procedures.
  • 558 students from various health professions participated in the survey.
  • Increased generative AI use was linked to greater trust in AI (beta = 0.58, p < 0.001).
  • Generative AI usage explained approximately 40% of variance in trust.

Abstract

The evolving digital landscape, including artificial intelligence (AI) and its generative forms, is changing how younger generations learn. As students utilize generative AI systems, they cultivate trust in such technology to support their current and long-term learning. The objective of this study was to investigate the relationship between generative AI use among students in health professions and their trust in this technology to support their lifelong learning as future health professionals. This study employed a survey methodology using a cross-sectional study design. The survey included sociodemographic variables and questions regarding students’ generative AI use and their trust in this technology to support their lifelong learning. Descriptive and inferential statistical procedures were used to analyze the data. A total of 558 students representing various health professions responded to the survey. In the regression analysis, after controlling for student’s sex and location variables, greater generative AI use was associated with students’ increased trust in this technology to support their lifelong learning (beta = 0.58, p < 0.001), explaining close to 40% of the total variance. Given the rapidly evolving digital landscape, this finding warrants further study, with implications for training of the future health workforce.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Oksana Babenko (2026) studied this question.

synapsesocial.com/papers/69d895be6c1944d70ce06ca7https://doi.org/10.3390/ime5020038
Ask AI
Helpful
Bookmark
Share
View Full Paper