Suchergebnisse

Die Institution Hochschule unterliegt starken Veränderungen: Politische und gesellschaftliche Anforderungen an die Studierenden werden höher, damit sie eine lebenswerte Zukunft mitgestalten können. Im Jahr 2015 hat die Weltgemeinschaft die Agenda 2030 verabschiedet. Die 17 Ziele für nachhaltige Entwicklung mit ihren 169 Unterzielen sind das Kernstück der Agenda 2030. Die Sustainable Development Goals (SDGs) sollen bis 2030 global und von allen UNO-Mitgliedstaaten erreicht werden, um die drängenden Herausforderungen der Welt gemeinsam zu lösen. Dies umfasst ökonomische, ökologische und soziale Entwicklungsaspekte. Die Studierenden benötigen daher zukunftsgerechte Schlüsselqualifikationen wie beispielsweise Selbstständigkeit, Flexibilität und Kommunikationsfähigkeit, um den zukünftigen gesellschaftlichen Herausforderungen in einer Welt, in der Gewissheit nicht gewiss ist, gerecht zu werden. Welche Konsequenzen dies für die Lehre hat, soll der folgende Beitrag aufzeigen.

In this article, we investigate the college teaching experiences of four first-generation and working-class (FGWC) sociology educators with varying social locations. We used collaborative autoethnography to compare our backgrounds and university navigational strategies employed and shared with our students and mentees. Using an intersectional lens, we find our experiences reflect both commonalities and divergences in the FGWC experience, including disclosure of our FG and/or WC origin status to students and our perceptions of how race, gender, and parental status shape our teaching of sociology across differing institutional settings. We end by using insights gleaned from comparing our experiences to provide recommendations for creating more inclusive classroom and institutional environments.

Clark-Type nitrous oxide (N 2 O) sensors are routinely used to measure dissolved N 2 O concentrations in wastewater treatment plants (WWTPs), but have never before been applied to assess gas-phase N 2 O emissions in full-scale WWTPs. In this study, a full-scale N 2 O gas sensor was tested and validated for online gas measurements, and assessed with respect to its linearity, temperature dependence, signal saturation and drift prior to full-scale application. The sensor was linear at the concentrations tested (0-422.3, 0-50 and 0-10 ppmv N 2 O) and had a linear response up to 2750 ppmv N 2 O. An exponential correlation between temperature and sensor signal was described and predicted using a double exponential equation while the drift did not have a significant influence on the signal. The N 2 O gas sensor was used for online N 2 O monitoring in a full-scale sequencing batch reactor (SBR) treating domestic wastewater and results were compared with those obtained by a commercial online gas analyser. Emissions were successfully described by the sensor, being even more accurate than the values given by the commercial analyser at N 2 O concentrations above 500 ppmv. Data from this gas N 2 O sensor was also used to validate two models to predict N 2 O emissions from dissolved N 2 O measurements, one based on oxygen transfer rate and the other based on superficial velocity of the gas bubble. Using the first model, predictions for N 2 O emissions agreed by 98.7% with the measured by the gas sensor, while 87.0% similarity was obtained with the second model. This is the first study showing a reliable estimation of gas emissions based on dissolved N 2 O online data in a full-scale wastewater treatment facility ; This study was funded by the Spanish Government (MINECO) (CTM 2011-27163 and CTM2015-66892-R), European Commission (FP7-PEOPLE-2011-CIG 303946) and the Portuguese Fundação para a Ciência e Tecnologia (PTDC/AAC-AMB/12058/2010, UID/Multi/04378/2013, PhD grant SFRH/BD/74515/2010). Spanish and Portuguese Governments are ...