Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

Open access, Project, Publication, Report, Technical paper
Das Forschungsfeld Learning Analytics wächst in den letzten Jahren beständig. Mit dem Wachstum entstanden eine Vielzahl von Technologien und Anwendungen. Diese reichen von der Durchführung von kleinen Machbarkeitsstudien mit innovativen, prototypischen Anwendungen bis hin zu in großen empirischen Studien evaluierten kommerziellen Systemen. Es ist jedoch für potentielle Anwender von Learning Analytics schwierig, die Forschungslandschaft zu überschauen und sich einen Einblick in die Thematik zu verschaffen. Folglich sind viele Hochschulen und Lehrende beim Einsatz von Learning Analytics zögerlich, da alleine ein Überblick über die Möglichkeiten eine hohe Einarbeitungszeit erfordert. Auf Basis des ersten Verhaltenskodex für Trusted Learning Analytics (Hansen, Rensing, Herrmann, Drachsler, 2020), der vom Innovationsforum Trusted Learning Analytics des Projektes: Digital gestütztes Lehren und Lernen in Hessen (digLL) im Januar 2020 veröffentlicht wurde, möchten wir mit diesem Report einen Überblick…
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Participate: Learn more about AR technology in STEM education in European schools in our online dissemination seminar on March 29

Participate: Learn more about AR technology in STEM education in European schools in our online dissemination seminar on March 29

Digitalisation, Empirical Study, Game, Press, Project, Publication
Learn more about AR4STE(A)M in our online seminar! Register here: ME1-Invitation Take a look at the latest trends and technologies used in STEM classes and the pedagogic strategies to make STE(A)M learning a fun experience with new possibilities to discover STE(A)M topics for students all over Europe. Prof. Dr. Hendrik Drachsler, Mrs. Anna Stamouli and Mrs. Dana Kube will guide you through the evening and will talk with you and the entire project team about the latest developments : AR4STEAM AGENDA See you soon & stay tuned, your AR4STE(A)M Team
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NEW Newsletter and Update on AR4STEAM

NEW Newsletter and Update on AR4STEAM

Augmented Reality, Digitalisation, Project, Publication, Report, School
AR4STE(A)M Newsletter 2 We have the pleasure to update you by this Newsletter with advance made in our project, which is designed to provide attractive means and ways  to improve current technological methods, encouraging STEAM education. Joining us, you will find in our publications a lot of useful information, tips and new opportunities for modern and effective teaching.
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EduTec@ AI Camp 2021 In dialogue. With algorithms. For society.

EduTec@ AI Camp 2021 In dialogue. With algorithms. For society.

Conference, Digitalisation, Workshop
https://kicamp.orgOn April 27, 2021, the German Federal Ministry of Education and Research (BMBF) and the German Informatics Society (GI) will bring together selected AI talents up to the age of 35 with renowned AI experts from all over the world at the AI Camp 2021 in Berlin. Whether universities, startups or think tanks: young AI researchers from alldisciplines and backgrounds will meet in interactive fishbowl discussions, lecture sessions or hands-on workshops and address transdisciplinary future issues from the fields of society, sustainability, production, science, health, mobility, art and media. Starting as early as January, the hybrid on- and offline event will offer participants the opportunity to actively participate in the program design and to network on a topic-by-topic basis in virtual workshop and discussion formats. Artificial intelligence is not only…
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New Pub: A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

New Pub: A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

Higher Education, Journal, Learning Analytics, Open access, Publication
The purpose of this paper is to explore the expectations of academic staff to learning analytics services from an ideal as well as a realistic perspective. This mixed-method study focused on a cross-case analysis of staff from Higher Education Institutions from four European universities (Spain, Estonia, Netherlands, UK). While there are some differences between the countries as well as between ideal and predicted expectations, the overarching results indicate that academic staff sees learning analytics as a tool to understand the learning activities and possibility to provide feedback for the students and adapt the curriculum to meet learners' needs. However, one of the findings from the study across cases is the generally consistently low expectation and desire for academic staff to be obligated to act based on data that shows students…
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New Pub: Understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

New Pub: Understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

Journal, Multimodal Learning Analytics, Open access, Publication, School
Epistemic Network Analyses of Economics Students’ Graph Understanding: An Eye-Tracking Study Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph—Areas of Interest (AOIs). To gain a deeper insight into students’ task-solving process, we argue that the gaze shifts between students’ fixations on different AOIs (so-termed transitions) also need to be included in holistic analyses of graph understanding that consider the importance of transitions for the task-solving process. Thus, we introduced Epistemic Network Analysis (ENA) as a novel approach to analyze eye-tracking data of 23 university students who solved eight multiple-choice graph tasks in physics and economics. ENA…
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New Pub: Beitrag zu Buch: Digitale Bildung und Künstliche Intelligenz in Deutschland

New Pub: Beitrag zu Buch: Digitale Bildung und Künstliche Intelligenz in Deutschland

Artificial Intelligence, Multimodal Learning Analytics, Publication
Das Buch "Digitale Bildung und Künstliche Intelligenz in Deutschland" mit unserem Kapitel "Der multimodale Lern-Hub: Ein Werkzeug zur Sammlung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen" wurde veröffentlicht. In diesem Kapitel wird ein Tool vorgestellt, mit dem Forscher anpassbare Prototypen erstellen können, um Lernaufgaben mithilfe multimodaler Daten zu untersuchen. References: Schneider, J., Di Mitri, D., Limbu, B., & Drachsler, H. (2020). Der multimodale Lern-Hub: Ein Werkzeug zur Erfassung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen. In Digitale Bildung und Künstliche Intelligenz in Deutschland (pp. 537-557). Springer, Wiesbaden.
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11th Brazilian – German Frontiers of Science and Technology Symposium

11th Brazilian – German Frontiers of Science and Technology Symposium

Conference, Digitalisation
Prof. Drachsler was invited to the 11th Brazilian – German Frontiers of Science and Technology Symposium. The focus of the event was on challenging times and progress of science & engineering with the current circumstances imposed by the COVID-19 pandemic. These times require creative approaches and stimulating individuals working on new solutions for the challenges of our time, realizing new solutions. In this view the BRAGFOST symposium aims to bring together young but experienced scientists and create the environment fostering a vibrant exchange with interesting colleagues from their own field and furthermore transdisciplinary exchange. The generalizable basis of complexity in our world already transcendent from science and natural systems more and more into our every days life – social systems, finances, economy up to education. Finding new solutions currently involves…
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Learning Analytics Workshop at DELFI 2020

Learning Analytics Workshop at DELFI 2020

Conference, Workshop
On behalf of the Arbeitskreis Learning Analytics (Learning Analytics Working Group of the German Informatics Society) the digLL innovation-forum Trusted Learning Analytics organised and lead the workshop Learning Analytics on 14th September 2020 as part of the pre-conference workshops of the biggest German eLearning conference DELFI. Due to corona the workshop was fully online. This year, the workshop was focused on „Trusted Learning Analytics“ lead by Oliver Herrmann of the Goethe University Frankfurt am Main and „Data Literacy“ with Sven Judel of the RWTH Aachen.
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TLA presented at Learning Analytics Learning Network (LALN)

TLA presented at Learning Analytics Learning Network (LALN)

Conference, Workshop
On 4th September 2020 Oliver Herrmann presented the current state of Trusted Learning Analytics (TLA) at a Learning Analytics Learning Network (LALN) workshop. LALN is a worldwide network of LA researchers. The workshop was held as a video conference as part of DELFI, Germany’s leading eLearning research conference. After the presentation, the meaning of “trusted” have been discussed in an international context, that brought new perspectives to be included in further research on TLA.  
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