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Social Hypertext Reader & Interactive Mapping Platform – kurz SHRIMP – ist der Titel eines Lehr-Lern-Experiments, das im Wintersemester 2015/16 am Institut für Amerikanistik der Universität Leipzig begonnen wurde: Das Lehrmaterial eines Seminars wird als Social Hypertext umgesetzt und über eine digitale Online-Platform in das Lehrangebot integriert.
SHRIMP is a university-based project to improve the reading and learning experience in the humanities. Data gathered by the SHRIMP platform is not transmitted to other parties. Usage data may be used for research purposes within the SHRIMP project. You may use the platform anonymously and your user profile will not be linked to your real life identity. An extensive version of the terms of use is available online.
SHRIMP is a university-based project to improve the reading and learning experience in the humanities. Data gathered by the SHRIMP platform is not transmitted to other parties. Usage data may be used for research purposes within the SHRIMP project. You may use the platform anonymously and your user profile will not be linked to your real life identity. An extensive version of the terms of use is available online.
Nutzungsbedingungen
Dear students,
Dear students,
Dear students,
with so much happening online this semester, it's easy to lose track. So here's a quick overview. To
Submitted by Anki on
From next semester on, there will be a new feature on SHRIMP: A Chatbot! Students will be able to talk to our one and only aquatic team member and resident learning expert, Shrimpy, who will help them use and navigate the platform more easily and who will provide advice on how to learn more effectively. Here’s a picture of him:
Submitted by siteadmin on
Zum 6. Tag der Lehre an der Uni Leipzig präsentiert das SHRIMP Projekt nicht nur ein neues Video über das Projekt. Wir stellen auch unseren neuen Chatbot vor. Der Shrimpy-Chatbot soll im kommenden Semester als automatischer Tutor bei der Lehre helfen. Zum Tag der Lehre erklärt er das Projekt.
Submitted by Anki on
The semester is coming to an end - while you are probably busy with your exams at this point, we are evaluating and interpreting your and your fellow students’ interaction data. With these numbers and statistics, we primarily intend to help you to learn more about yourself and your learning behavior. Maybe you consider yourself as some kind of learning type – for example, as someone who likes to annotate a lot. The figures can show you if this is actually the case and help you to maybe adjust your learning methods in the future.
