New Pub: Towards Automatic Collaboration Analytics for Group Speech Data Using Multimodal Learning Analytics

New Pub: Towards Automatic Collaboration Analytics for Group Speech Data Using Multimodal Learning Analytics

May 3, 2021
open access, Publication
Collaboration is an important 21st Century skill. Co-located (or face-to-face) collaboration (CC) analytics gained momentum with the advent of sensor technology. Most of these works have used the audio modality to detect the quality of CC. The CC quality can be detected from simple indicators of collaboration such as total speaking time or complex indicators like synchrony in the rise and fall of the average pitch. Most studies in the past focused on “how group members talk” (i.e., spectral, temporal features of audio like pitch) and not “what they talk”. The “what” of the conversations is more overt contrary to the “how” of the conversations. Very few studies studied “what” group members talk about, and these studies were lab based showing a representative overview of specific words as topic clusters…
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Best Paper award @LAK21 – Quantum of Choice

Best Paper award @LAK21 – Quantum of Choice

April 16, 2021
Award, Conference, 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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Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

February 24, 2021
open access, Project, Publication
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

February 22, 2021
Digitalisation, Game, Press, Project, Publication, Study
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

February 15, 2021
Digitalisation, Project, Publication
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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A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

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

December 22, 2020
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

December 4, 2020
open access, Publication
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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Beitrag zu Buch: Digitale Bildung und Künstliche Intelligenz in Deutschland

Beitrag zu Buch: Digitale Bildung und Künstliche Intelligenz in Deutschland

November 5, 2020
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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Learning Analytics Cookbook – How to Support Learning Processes Through Data Analytics and Visualization

Learning Analytics Cookbook – How to Support Learning Processes Through Data Analytics and Visualization

August 1, 2020
Publication
This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios. Reference: Jaakonmäki, R., vom Brocke, J., Dietze, S., Drachsler, H., Fortenbacher, A., Helbig, R., Kickmeier-Rust, M., Marenzi, I., Fernández, Á.S., Yun, H. (2020). Learning Analytics Cookbook - How to Support Learning Processes Through Data Analytics and Visualization. SpringerBriefs in Business Process Management, XI, 93, DOI: 10.1007/978-3-030-43377-2,…
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