“…The current research examines whether fundamental properties of the human voice are reliably and validly captured through common consumer-grade audio-recording devices in current medical, behavioral science, business, and computer science research. Specifically, this work provides evidence from a tightly controlled laboratory experiment analyzing 1800 voice samples and subsequent simulations that recording devices with high proximity to a speaker (such as a headset or a lavalier microphone) lead to inflated measures of amplitude compared to a benchmark studio-quality microphone while recording devices with lower proximity to a speaker (such as a laptop or a smartphone in front of the speaker) systematically reduce measures of amplitude and can lead to biased measures of the speaker’s true fundamental frequency. …”
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“…Variables associated with support for healthcare AI included being male, having computer science or programming experience and being aged between 18 and 34 years. …”
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“…We believe that partnerships among various national, regional, and global stakeholders involved directly or indirectly with health workforce training ranging to name a few, from public health & clinical science training institutions, computer science, learning design, data science, technology companies, social scientists, law, and AI ethicists, need to be developed in ways that enable the formation of an equitable and sustainable Communities of Practice (CoP) to address the use of AI for global health workforce training. …”
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“…Using Student Approaches to Learning research as a theoretical framework, the present study used both self-reported and observational log data to understand students’ study approaches in a flipped classroom course amongst 143 computer science undergraduate students. Specifically, it aimed to examine: 1) to what extent students’ study approaches identified by self-reported and observational log data are consistent with each other; and 2) to what extent students’ academic learning outcomes differ between students who showed consistent and inconsistent study approaches by self-reported and observational log data. …”
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“…Google forms are used to collect information from undergraduate and graduate computer science, IT, and software engineering students. …”
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“…Research primarily focuses on animal science, veterinary science, computer science, agricultural engineering, and environmental science. …”
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“…At the end of the 20th century, analog systems in computer science have been widely replaced by digital systems due to their higher computing power. …”
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“…A vast majority (84.9%) of the participants agreed that collaboration between medical schools with engineering and computer science faculties could be a game changer to provide a road for incorporating AI into medical curricula. …”
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