Focal Interest
Focal Interest

Artificial Intelligence in Healthcare and Education

External reference: https://openalex.org/T11636

  1. Older adults still faced interaction challenges with voice assistants
    Month-long in-home study examining how older adults interact with voice assistants, revealing persistent challenges despite LLM integration and proposing design considerations.
  2. Interview highlights views on AI, professionalism, and six-year medical training
    Interview examining medical education innovation addressing student competencies, AI integration, and curricular design in Korean medical training contexts.
  3. AI4Qual: A Comprehensive Field Guide to LLM-Supported Qualitative Research (Tutorial)
    Learn to integrate large language models into qualitative research with AI4Qual. Master LLM-supported interviewing, coding, and thematic analysis through evidence-based guidance and practical tools.
  4. Linguistic analysis is central to understanding GenAI in education
    Linguistic analysis of generative AI discourse in higher education reveals how agency, evaluation, stance, and coherence constructions shape learner outcomes and disciplinary representation.
  5. Assessing the Critical Failure Factors of AI Chatbots for Research Using ISM Approach
    Study using interpretive structural modeling to analyze critical failure factors of AI chatbots in academic research, revealing researcher knowledge deficiency as the primary constraint.
  6. AI ethics was the weakest area in Chinese nursing students
    Cross-sectional study of 423 Chinese nursing students identifies moderate AI literacy with deficient ethics competency and determinants including usage frequency and attitudes.
  7. AI tool use linked to higher academic stress in college students
    Survey of 624 undergraduates found AI tool usage experience predicted academic stress; loneliness partially mediated this link and academic self-efficacy moderated the pathway to loneliness.