EduTech team member finalist for Global Digital Female Leadership Award 2021

EduTech team member finalist for Global Digital Female Leadership Award 2021

August 3, 2021
Award, Digitalisation, Event, Press
EduTech team member Dana Kube is participating in the "Global Digital Female Leadership 2021 Award" finals. "I think female visibility cannot be supported enough in digital companies and branches throughout the world, also in Germany. I am happy to be a part of the #DFLA21 and also to get to know other women* and their innovative projects. Thanks for your vote and support! It is great to be a part of this."  Have a look at the DFLA 2021 and vote here: https://journeytodiversity.de/finalists21/dana-kube/
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Dr Daniele Di Mitri elected AI Newcomer 2021

Dr Daniele Di Mitri elected AI Newcomer 2021

April 27, 2021
Artificial Intelligence, Award, General education, Multimodal Learning Analytics
Dr. Daniele Di Mitri is the AI Newcomer 2021 of the category Humanities and Social Sciences at the KI Camp 2021 organised by the German Informatics Society and the German Federal Ministry of Education. His research is oriented towards the question: how can we best interface artificial intelligence applications with humans to ultimately support human learning, support their goal achievement and boost human productivity? "The only function for which is AI is currently used in higher education is plagiarism check. There is a lot more that AI can do for education. I can imagine realistic application scenario both at primary school, with intelligent tutors via playful interfaces can engage students both individually and in group in learning concepts as geometry, geography, algebra, history, physics." - Daniele Di Mitri, PhD Here the name…
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Best Paper award @LAK21 – Quantum of Choice

Best Paper award @LAK21 – Quantum of Choice

April 16, 2021
Award, Conference, Empirical Study, Higher Education, Learning Analytics, Open access, Publication
Learning analytics dashboards (LADs) are designed as feedback tools for learners, but until recently, learners rarely have had a say in how LADs are designed and what information they receive through LADs. To overcome this shortcoming, we have developed a customisable LAD for Coursera MOOCs on which learners can set goals and choose indicators to monitor. Following a mixed-methods approach, we analyse 401 learners’ indicator selection behaviour in order to understand the decisions they make on the LAD and whether learner goals and self-regulated learning skills influence these decisions. We found that learners overwhelmingly chose indicators about completed activities. Goals are not associated with indicator selection behaviour, while help-seeking skills predict learners’ choice of monitoring their engagement in discussions and time management skills predict learners’ interest in procrastination indicators. The…
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Daniele Di Mitri nominated as AI Newcomer 2021

Daniele Di Mitri nominated as AI Newcomer 2021

January 19, 2021
Award
Dr. Daniele Di Mitri, postdoctoral researcher at the EduTec group, was nominated as AI newcomer in the field of humanities and social science, within the KI-Camp 2021, the nation-wide Artificial Intelligence event in Germany. You can support Daniele's nomination by voting https://kicamp.org/en/ai-newcomers. Please make sure to validate your vote via the link in the confirmation email. Votes will be possible until 07 March 2021. What is KI Camp? At the KI-Camp of the Federal Ministry of Education and Research (BMBF) and the German Informatics Society (GI), AI talents up to the age of 35 will meet with renowned AI experts from all over the world on 27 April 2021 – in Berlin and virtually. In interactive fishbowl discussions, debating sessions and hands-on workshops, the free-of-charge Science Convention addresses transdisciplinary issues of the future in seven…
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Das studentische E-Learning-Projekt »StudyCore« verbindet Forschung mit pädagogischer Praxis

Das studentische E-Learning-Projekt »StudyCore« verbindet Forschung mit pädagogischer Praxis

June 25, 2020
Award, Digitalisation
Es ist toll zu sehen, dass die Studierendenvereinigung - MEGA - (Make eLearning Great Again) - jetzt auch ausserhalb der Goethe Uni erfolgreich das Lernen mit Technologie verbessert!. Am Anfang vieler guter Ideen steht Frust. „90 Minuten Mathevorlesung, 90 Minuten nur Zahlen und Formeln – so lange konnte ich mich einfach nicht konzentrieren“, gibt Onur Karademir seine Erfahrung im ersten Studiensemester Informatik wieder. Also suchte er im Netz nach Vorlesungs-Videos zum Thema, die er immerhin stoppen, zurück- und vorspulen konnte. Häppchenweise ging Verstehen leichter. Diese Erfahrung war der Impuls, noch als Student E-Learning-Formate zu entwickeln, die vom studiumdigitale- Team der Goethe-Universität gefördert wurden. Inzwischen gibt es das EdTech-Start-up StudyCore, in dem Onur Karademir mit sechs weiteren Studierenden ein breites Angebot an Digitalen Lehr- und Lernformen entwickelt und das eine Perspektive…
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Which Strategies are Used in the Design of Technical LA Infrastructure? A Qualitative Interview Study

Which Strategies are Used in the Design of Technical LA Infrastructure? A Qualitative Interview Study

May 12, 2020
Award, Conference, Publication
At the end of April the EDUCON2020 – IEEE Global Engineering Education Conference took place. The Educational Technologies team managed to contribute with a full research paper and a short paper. The full research by George Ciordas-Hertel has the title: "Which Strategies are Used in the Design of Technical LA Infrastructure?: A Qualitative Interview Study". This paper was awarded as best paper the area "Infrastructure and Technologies for Engineering Education". Here an abstract of the paper: In order to obtain a holistic perspective on learning, technical infrastructure at an institutional level can be advantageous for Learning Analytics (LA). If personal data is collected and processed in such infrastructure, legal requirements are of crucial importance. Recent studies have examined various aspects of LA infrastructure, such as ethical trade-offs and stakeholder needs.…
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Top cited paper Award

Top cited paper Award

January 26, 2020
Award, Publication
At the end of January 2020 the paper “From Signals to Knowledge. A Conceptual model for multimodal learning Analytics” received the recognition of being one of the top-cited articles published between January 2018 and December 2019 from the Journal of Computer Assisted Learning.
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