This study aims to find various obstacles, describe, and provide strategies for parents when accompanying and providing direction to their children in distance learning. The method used in this research is the interview method. Interview, observation, listening, and note-taking techniques are data collection techniques used. The results of this study indicate that there are barriers for parents in distance learning. Among them are difficult internet signals, expensive internet quotas, and parents who are not able to fully guide and understand the material, so you have to ask your friends directly. The role of parents is very conducive to the academic success of a child. Always encourage and have innovations in child supervision so that children do not feel bored or even stressed in learning. There needs to be smooth coordination between parents and teachers. This assessment is needed to improve student learning outcomes. In the application of the home learning system, parents play an important role in the student learning process in the distance learning process at home today.
Feeding America Eastern Wisconsin (FAEW) distributed 81% more food to community members in need during the COVID-19 pandemic than in the prior year. Though systems were in place to manage food receipt and distribution data, social distancing requirements and technological barriers revealed inefficiencies in how these data were being utilized. In pursuit of data-driven decision making and in the context of a global pandemic, FAEW partnered with Marquette University data scientists through an industry supported grant. Applying newly learned skills in Business Intelligence, students have produced detailed reports of data cleanliness in FAEW’s source systems to improve underlying data quality and better support analytic efforts. Additionally, students have synchronized Human Centered Design Thinking and Visual Analytics to produce an interactive application that is being used to optimize inventory management, storage availability, and product distribution. Finally, students are utilizing Business Analytics techniques such as supervised and unsupervised data mining to provide new insights about food receipt and distribution patterns that will have a sustainable impact on FAEW operations. This unique partnership is providing experiential learning opportunities for students, tangible data science solutions that FAEW will use to ensure best practices, and real-world solutions to collaboratively end hunger in our communities.
The detection rate of adenomas in screening colonoscopies is an important quality indicator for endoscopists. Successful detection of adenomas is linked to reduced cancer incidence and mortality. This study focuses on evaluating the performance of endoscopists on adenoma detection rate (ADR), polyp detection rate (PDR), and scope withdrawal time. The substitution of PDR for ADR has been suggested due the reliance of ADR calculation on pathology reports. We compare these metrics to established clinical guidelines and to the performance of other individual endoscopists. Our analysis (n = 2730 screening colonoscopies) found variation in ADR for 14 endoscopists, ranging from 0.20 to 0.41. PDR ranged from 0.38 to 0.62. Controlling for age, sex, race, withdrawal time, and the presence of a trainee endoscopist accounted for 34% of variation in PDR but failed to account for any variation in ADR. The Pearson correlation between PDR and ADR is 0.82. These results suggest that PDR has significant value as a quality indicator. The reported variation in detection rates after controlling for case mix signals the need for greater scrutiny of individual endoscopist skill. Understanding the root cause of this variation could potentially lead to better patient outcomes.
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