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Nicht nur der Lauf der Geschichte verändert sich, sondern auch Geschichtswissenschaft und -unterricht. An die Stelle des Auswendiglernens vorgegebener historischer Erzählungen trat im Laufe der Zeit zunehmend die Befähigung zu deren Dekonstruktion. Dafür müssen allerdings die Entstehungsbedingungen (geschichts-)wissenschaftlicher Erkenntnisse nachvollzogen werden können. Eine Möglichkeit, dies auf spielerische Art und Weise, aber auch auf Augenhöhe mit Lehrkräften und Historiker*innen zu tun, bieten Open-World- Spiele wie HORIZON ZERO DAWN (2017).
„Gut, besser, Vermesser.“
(2021)
Die Geschichte der Mikrobiologie als Laborwissenschaft des späten 19. Jahrhunderts hat für Ehrenberg keinen Platz. Unmodern, ja fehlerhaft scheinen die Befunde dieses „Humboldt en miniature“, der die Belebtheit von Wasser oder Luft mikroskopisch untersuchte, der Proben aus aller Welt sammelte und so zahlreiche „Infusorien“ genannte Mikroben sowie deren Effekte etwa bei Blutwundern beschrieb, deren Beteiligung an Infektionskrankheiten aber verneinte. Zugleich scheint sein ökologischer Blick auf den Mikrokosmos die Gegenwart auf überraschende Weise anzusprechen – einerseits weil Mikroben omnipräsentes Faszinosum wie Bedrohung bleiben, andererseits weil viele der Prämissen von Pasteur und Koch im Zeitalter der Genomik überholt erscheinen. Ausgehend von der zwiespältigen Position Ehrenbergs fragt dieser Artikel, warum er möglicherweise gerade deswegen spannender ist, als ihn die Historiographie bislang hat erscheinen lassen.
Semi-natural habitats (SNHs) are becoming increasingly scarce in modern agricultural landscapes. This may reduce natural ecosystem services such as pest control with its putatively positive effect on crop production. In agreement with other studies, we recently reported wheat yield reductions at field borders which were linked to the type of SNH and the distance to the border. In this experimental landscape-wide study, we asked whether these yield losses have a biotic origin while analyzing fungal seed and fungal leaf pathogens, herbivory of cereal leaf beetles, and weed cover as hypothesized mediators between SNHs and yield. We established experimental winter wheat plots of a single variety within conventionally managed wheat fields at fixed distances either to a hedgerow or to an in-field kettle hole. For each plot, we recorded the fungal infection rate on seeds, fungal infection and herbivory rates on leaves, and weed cover. Using several generalized linear mixed-effects models as well as a structural equation model, we tested the effects of SNHs at a field scale (SNH type and distance to SNH) and at a landscape scale (percentage and diversity of SNHs within a 1000-m radius). In the dry year of 2016, we detected one putative biotic culprit: Weed cover was negatively associated with yield values at a 1-m and 5-m distance from the field border with a SNH. None of the fungal and insect pests, however, significantly affected yield, neither solely nor depending on type of or distance to a SNH. However, the pest groups themselves responded differently to SNH at the field scale and at the landscape scale. Our findings highlight that crop losses at field borders may be caused by biotic culprits; however, their negative impact seems weak and is putatively reduced by conventional farming practices.
Clustering in education is important in identifying groups of objects in order to find linked patterns of correlations in educational datasets. As such, MOOCs provide a rich source of educational datasets which enable a wide selection of options to carry out clustering and an opportunity for cohort analyses. In this experience paper, five research studies on clustering in MOOCs are reviewed, drawing out several reasonings, methods, and students’ clusters that reflect certain kinds of learning behaviours. The collection of the varied clusters shows that each study identifies and defines clusters according to distinctive engagement patterns. Implications and a summary are provided at the end of the paper.
The goal of this paper is to study the demand factors driving enrollment in massive open online courses. Using course level data from a French MOOC platform, we study the course, teacher and institution related characteristics that influence the enrollment decision of students, in a setting where enrollment is open to all students without administrative barriers. Coverage from social and traditional media done around the course is a key driver. In addition, the language of instruction and the (estimated) amount of work needed to complete the course also have a significant impact. The data also suggests that the presence of same-side externalities is limited. Finally, preferences of national and of international students tend to differ on several dimensions.