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# AI Chatbots

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  1. 172 Students at a Japanese National University Rated Self-Access Language Learning Services Above AI Chatbots for Speaking, Motivation, and Personalized Guidance, Seeing the Two as Complementary

    Surveying 172 students at a Japanese national university and analyzing responses with descriptive statistics, paired-samples t-tests, and content analysis, the study compared learners' perceptions of the usefulness, limitations, and future roles of self-access language learning (SALL) services and AI chatbots for English learning, finding that SALL services were rated significantly higher for speaking development, motivation, personalized advice and feedback, writing, and overall contribution, while chatbots were valued for convenience and accessibility, and that learners saw the two as complementary rather than competing resources.

  2. Feasibility of AI-Enabled Chatbots for Pre-consultation in HIV Care in Northern Nigeria

    This cross-sectional study surveyed 427 adults on antiretroviral treatment (ART) at a large tertiary referral center in Kano, Nigeria, finding that 75.2% were aware of AI chatbots, 72.6% had ever used one, and 66.5% had used chatbots for HIV-related queries (most commonly general HIV/ART information 36.3%, checking ART side effects 23.4%, and preparing questions for clinicians 15.0%), and identified factors independently associated with HIV-related chatbot use, including younger age, post-secondary education, being married, shorter ART duration, presence of comorbidities, smartphone ownership, internet access, and English proficiency.

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