This week, JMIR (Journal of Medical Internet Research) Cardio published our paper ‘Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring‘. In this blogpost, I’ll attempt to break down the paper’s key findings in relatively lay language.
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Thank you for sharing this story! However, please do so in a way that respects the copyright of this text. If you want to share or reproduce this full text, please ask permission from Innovation Origins (partners@innovationorigins.com) or become a partner of ours! You are of course free to quote this story with source citation. Would you like to share this article in another way? Then use this link to the article: https://innovationorigins.com/en/silicon-sampling-ai-powered-personas-offer-new-insights-for-market-research-but-have-limitations/ n the rapidly evolving field of marketing and communication, staying ahead means embracing technological innovations. The latest breakthrough, silicon sampling, leverages AI to revolutionize market research by creating synthetic personas that mimic human responses. This method, which utilizes large language models (LLMs) like GPT-4o, offers a cost-efficient and less time-consuming alternative to traditional market research. Roberta Vaznyte and Marieke van Vliet (Fontys University of Applied Science) have explored the promise and challenges of silicon sampling, highlighting key findings from recent experiments and the implications for the future of market research.
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Many studies have suggested that personal practical knowledge is essential for professional development. Recently, there has been growing recognition of the importance of teacher educators’ personal practical knowledge of ‘language’ for student learning development. However, the need for teacher educators to first understand their own language-oriented development in content-based classroom interaction has not received as much emphasis. The current intervention study investigates how eleven experienced teacher educators understand their language-oriented development through the control of task difficulty, small-group instruction and directed response questioning. Data were examined by conducting content and constant comparison analyses. The results showed that the intervention affected the educators’ language-oriented development, which in turn affected their awareness and decisions made to improve their methods of initiation and response during classroom interaction. The results call for more concrete ways to expend teacher educators’ practical knowledge of language to further develop and enhance their language-oriented teaching performance in content-based classroom interaction.
