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Artificial intelligence (A.I.) brings new opportunities for social construction. This phenomenological research attempted to analyze the phenomenon of artificial intelligence in education, grounding in American philosophy, with a review of the history of A.I. in education, its promise, and possible futures. The primary purpose of the study was to share voices and lived experiences of educators, philosophers, industrialists and politicians toward the coming high-tech society. Fundamental to this philosophical inquiry was Heideggerian interpretive phenomenology. The findings from eight intellectuals participating in this study elucidated five themes of the investigated phenomenon. Together these empirical indicators, and an outline of philosophy of technology, the philosophy of technology in education was also suggested. The study proposed a framework for teachers and AIED stakeholders to get ready, get involved and take advantage for the coming A.I. revolution. Recommendations for future research should explore more Heideggerian phenomenological method and researchers in education and A.I. could utilize the proposed framework both quantitatively and qualitatively, not only in conceptual design, but also in the construct of datasets.

Purpose. Vietnamese-Americans (VA) constitute a large minority community that is mostly foreign born with limited English proficiency. This article compares the health content of free print media targeting VA with that of free English-language print media. Design. Content analysis. Setting. All free print media available at the three largest VA-serving supermarkets in Philadelphia, Pennsylvania, were reviewed. Comparison English-language periodicals included free and purchased publications. Measures. We identified and coded 254 health content–containing articles from 22 issues of six periodicals (four free Vietnamese, one free English language, and one purchased English language) collected over a 4-week period. Analysis. Chi-square and t-tests for independent samples were used to compare free Vietnamese- and free English-language periodicals. Additional analyses included all English-language periodicals as the comparison group. Results. Higher proportions of advertisements and "pseudonews" articles (ads formatted like news stories) were found in free Vietnamese- vs. free English-language publications (overt ads, 61% vs. 28%; pseudonews, 18% vs. 0%). Moreover, Vietnamese-language publications did not contain many articles addressing diseases most commonly found in Asian-Americans. Discussion. The significant proportion made up by profit-motivated health content in VA print media points to an untapped opportunity to provide evidence-based information about health topics of interest to this community. Future studies should examine secular trends, assess multiple communities, and develop community-based participatory approaches to improving access to quality health information among minorities with limited English proficiency.

Das Social Media Handbuch begleitet langfristige Entwicklungen im sich ständig wandelnden Social Media Bereich und erklärt grundsätzliche Zusammenhänge. Es beschreibt ein Strategiemodell für die Entwicklung eigener Lösungen, fasst Theorien, Methoden und Modelle führender Autoren zusammen und zeigt deren praktische Anwendung. Auch aktuelle Entwicklungen werden aufgeführt. Es wird das Thema Datenverarbeitung in Sozialen Medien behandelt. Eine Betrachtung der Plattformökonomie mit ihren ökonomischen Funktionsweisen erleichtert die Einordnung von Geschäftsmodellen in Sozialen Medien. Es wird zudem dargelegt, wie Plattformen und ihre Algorithmen unser Handeln und unsere Meinungsbildung beeinflussen können. Mit Beiträgen von Prof. Karin Bjerregaard Schlüter, Andrea Braun, Franziska Geue, Tobias Knopf, Markus Korbien, Prof. Dr. Daniel Michelis, Stefan Pfaff, Thanh H. Pham, Tom Reichstein, Prof. Dr. Anna Riedel, Michael Sarbacher, Prof. Dr. Dr. Thomas Schildhauer, Prof. Dr. Hendrik Send, Dr. Stefan Stumpp, Prof. Dr. Sebastian Volkmann, Jan-Benedikt Weber, Julia Weißhaupt, Norman Wiebach und Prof. Dr. Christian Wissing.

Few studies have examined predictors of hospital readmission among high-using patients enrolled in a behaviorally oriented intensive care management program. The purpose of this case control study was to describe risk factors and the effectiveness of a complex care management program for hospital readmission among vulnerable patients at a large academic medical center. One hundred sixty-three patients enrolled in the University of Michigan Complex Care Management Program (UM CCMP) were hospitalized between January 2014 and March 2015. Sixty were readmitted within 30 days of discharge. Among all patients, the mean age was 51.1 years, 38.7% were non-White, 81.5% had Medicaid and/or Medicare, 50.3% were without stable housing, and 27.6% had significant psychiatric illnesses. Although mostly not statistically significant, multivariable risk of readmission was increased by having twice the mean number of hospitalizations in the last 6 months (odds ratio [OR] = 1.44, 95% CI [1.00, 2.06]), having chronic pain on a scheduled narcotic (OR = 1.49, 95% CI [0.67, 3.35]), and going to a primary care physician within 30 days of discharge (OR = 1.35, 95% CI [0.63, 2.89]). Risk was decreased by going to a specialist (OR = 0.54, 95% CI [0.23, 1.27]) and receiving moderate-intensity CCMP intervention (OR = 0.48, 95% CI [0.20, 1.19]). Among hospitalized high-using patients enrolled in the UM intensive care management program, readmission is likely significantly influenced by medical, behavioral, and social challenges. Care management appears most effective in preventing readmission among patients with mid- rather than high- or low-level needs. These findings at a single program should be explored in further, larger studies.