Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

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

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

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

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 research on understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

New research on understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

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

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

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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Publication of the Compendium of Gamification Strategies: AR in STEM classes in the EU

Publication of the Compendium of Gamification Strategies: AR in STEM classes in the EU

Project, Publication
The only limit is our imagination: Augmented Reality Technology enters STEM classes in EU As a powerful storytelling tool, immersive media fundamentally change the way we interact with our environment. The EU-funded AR4STEAM project wants to use this potential for new ways of learning in school lessons in natural sciences and arts. With Augmented Reality (AR) we can merge digital dimension with the physical world and create completely new experiences. Reality becomes a creative canvas on which we can provide information in a completely new and exciting way. Artists and scientists have long recognized that immersive technologies appeal to recipients emotionally on a whole new level and create lasting impressions. AR makes the previously impossible a new reality. The only limit? Our imagination! Studies have shown that the use of…
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From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education

From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education

open access, Publication, Study
Unequal stakeholder engagement is a common pitfall of adoption approaches of learning analytics in higher education leading to lower buy-in and flawed tools that fail to meet the needs of their target groups. With each design decision, we make assumptions on how learners will make sense of the visualisations, but we know very little about how students make sense of dashboard and which aspects influence their sense-making. We investigated how learner goals and self-regulated learning (SRL) skills influence dashboard sense-making following a mixed-methods research methodology: a qualitative pre-study followed-up with an extensive quantitative study with 247 university students. We uncovered three latent variables for sense-making: transparency of design, reference frames and support for action. SRL skills are predictors for how relevant students find these constructs. Learner goals have a significant…
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Learning analytics in European higher education–trends and barriers

Learning analytics in European higher education–trends and barriers

Publication, Study
Learning analytics (LA) as a research field has grown rapidly over the last decade. However, adoption of LA is mostly found to be small in scale and isolated at the instructor level. This paper presents an exploratory study on institutional approaches to LA in European higher education and discusses prominent challenges that impede LA from reaching its potential. Based on a series of consultations with senior managers from 83 different higher education institutions in 24 European countries, we observe that LA is primarily perceived as a tool to enhance teaching and institutional management. As a result, teaching and support staff are found to be the main users of LA and the target audience of training support. In contrast, there is little evidence of active engagement with students or using LA…
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