10 research outputs found

    ARtonomous: Introducing Middle School Students to Reinforcement Learning Through Virtual Robotics

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    Typical educational robotics approaches rely on imperative programming for robot navigation. However, with the increasing presence of AI in everyday life, these approaches miss an opportunity to introduce machine learning (ML) techniques grounded in an authentic and engaging learning context. Furthermore, the needs for costly specialized equipment and ample physical space are barriers that limit access to robotics experiences for all learners. We propose ARtonomous, a relatively low-cost, virtual alternative to physical, programming-only robotics kits. With ARtonomous, students employ reinforcement learning (RL) alongside code to train and customize virtual autonomous robotic vehicles. Through a study evaluating ARtonomous, we found that middle-school students developed an understanding of RL, reported high levels of engagement, and demonstrated curiosity for learning more about ML. This research demonstrates the feasibility of an approach like ARtonomous for 1) eliminating barriers to robotics education and 2) promoting student learning and interest in RL and ML.Comment: In Proceedings of Interaction Design and Children (IDC '22

    Extra-legal abortion and post-abortion care knowledge, attitudes, and practices among obstetrician-gynecologist clinicians and medical residents in San José, Costa Rica: a qualitative study

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    Abstract Background Induced abortion in Costa Rica is illegal in all cases except to save the life of the pregnant person. Despite severe restrictions to legal abortion, individuals in Costa Rica still induce abortions outside of the formal healthcare system. These individuals and those with spontaneous abortions, also known as miscarriages, occasionally need medical care for complications. In Costa Rica, an estimated 41% of unintended pregnancies end in abortion, yet there is very little published literature exploring the perspectives of healthcare providers on abortion in Costa Rica. Methods We interviewed ten obstetrician-gynecologist clinicians and five obstetrician-gynecologist medical residents in San José, Costa Rica about their beliefs and practices related to extra-legal abortion and post-abortion care (PAC) using a Spanish language in-depth semi-structured interview guide. After transcription and translation into English, analysis team pairs used a combination of deductive and inductive coding to identify themes and sub-themes within the data. Results Obstetrician-gynecologist clinicians and medical residents were aware of the presence of extra-legal abortion, and particularly, medication abortion, in their communities, but less familiar with dosing for induction. They expressed the desire to provide non-judgmental care and support their patients through extra-legal abortion and PAC journeys. Study participants were most familiar with providing care to individuals with spontaneous abortions. When discussing PAC, they often spoke about a policy of reporting individuals who seek PAC following an extra-legal abortion, without commenting on whether or not they followed the guidance. Conclusions This study contributes to a gap in research about the knowledge, attitudes, and practices of Costa Rican obstetrician-gynecologist clinicians and medical residents around extra-legal abortion and PAC. The results reveal an opportunity to train these healthcare providers as harm reduction experts, who are able to accurately counsel individuals who are seeking abortion services outside of the healthcare system, and to provide training to improve care for individuals needing PAC

    Clarifying the taxonomic status of the alien species Branchiomma bairdi and Branchiomma boholense (Annelida: Sabellidae) using molecular and morphological evidence

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    Book of Abstracts: 2019 Health Equity Summer Research Summit Organized by the Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, Texas 77030, USA on June 18th, 2019

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    Copyright © 2020 Harris. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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