Workshop – Designing Learning Analytics to Improve Lifelong? Learning

Workshop – Designing Learning Analytics to Improve Lifelong? Learning

Event, Learning Analytics, Learning Design, Lifelong Learning, Project, Report, Summer School, Workshop
Abstract: Learning Analytics (LA) has become a very heterogeneous research field due to the diversity in the data generated by the Learning Management Systems (LMS) as well as the researchers in a variety of disciplines, who analyze this data from a range of perspectives. In this workshop, we will present a LA tool called Open Learning Analytics Indicator Repository (OpenLAIR). OpenLAIR helps course designers, teachers, students and educational researchers to make informed decisions about the selection of learning activities and LA indicators for their course design or LA dashboard. The aim of this workshop is to allow users to interact with OpenLAIR and allow them to design a LA dashboard for a lifelong learning portal. During the workshop, participants will help with the design and evaluation of the OpenLAIR visual…
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EduTec Team @ JTEL Summer School 2022

EduTec Team @ JTEL Summer School 2022

Summer School
JTELSS is the premier event of the European Educational Technology community to support early career researcher and connect them with their peers. Three years after the last summer school of the European Association for Technology-enhanced Learning (EATEL) hosted in Italy, PhD students and Postdocs of the EduTec Team visited this year's summer school in Haldikidi, Greece. More than 140 participants from 27 countries met in the wonderful and sunny area of Halkidiki, Greece to present their research, to network and establish connections. The program consisted of cutting edge topics like Artificial Intelligence in Education, Immersive Technologies (AR, VR), and Robotics, as well as methodological (e.g. qualitative research methods; causal inference) and soft-skills workshops (e.g. project management; how to present your research). The EduTec team contributed to a total of nine…
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ALICE and AFLEK project meeting in Kiel

ALICE and AFLEK project meeting in Kiel

Project meeting
The digital teaching practice of the future: The integration of digital media in the classroom sometimes proves difficult and poses challenges for schools and teachers. To address these challenges, Educational Technologies researchers at the DIPF, together with educators from the IPN in Kiel, IWM and the RUB, launched the research projects of AFLEK and ALICE. The research projects aim to design mathematics, physics, chemistry, and biology teaching units and provide them with the best possible digital support. The DIPF team is responsible for the digital tools used in this context. In addition to a Learning Management System based on the Trusted Learning Analytics concept, interactive learning elements are created, and the teacher is given feedback on the level of knowledge using Learning Analytics. A particular focus of the ALICE project…
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Presentation about detecting off-task behavior during learning at the GEBF 2022

Presentation about detecting off-task behavior during learning at the GEBF 2022

Conference, Event, Higher Education, Learning Analytics, Research topic, Self-Regulation
On 09.03.2022, Daniel Biedermann gave a presentation on the topic of recognizing off-task behavior as part of the GEBF conference. The talk was part of the symposium on "Self-Regulation in Learning in Digital Environments: From Problems to Solutions". The talk presented the endeavor of using process data within a learning environment to detect and predict off-task behavior. Special attention was given to the challenges that arise when detecting off-task behavior. The same observed activity may be considered off-task in one case, but relevant to learning in another. Making this distinction requires a precise grasp of the context in which the observed behavior takes place. Aspects such as what phase of learning was someone in when another web page was accessed? Had the learning material already been processed? Or was the…
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Keynote at LERN Jahrestagung 2022

Keynote at LERN Jahrestagung 2022

Computational Psychometrics, Higher Education, Invited talk, Keynote, Learning Analytics, Learning Design, School
On 30 March 2022, Hendrik Drachsler gave an invited keynote at the LERN conference 2022 where he reported on the latest research on data-driven high informative feedback in higher education and schools. The talk focused on the experience of edutec.science research collective that has been gained in the projects DIFA, HIKOF-DL, AFLEK and ALICE. The presentation provided an overview of actionable and supportive feedback to learners as well as the various technical products that the EduTec group has developed. It, therefore, applies web technology to support meta-cognitive and collaborative learning skills with high-informative feedback methods. Hendrik applies validated measurement instruments from the field of psychometrics and investigates to what extent Learning Analytics interventions can reproduce the findings of these instruments. He discussed the lessons learned from implementing TLA systems. He…
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New Pub: Towards Collaborative Convergence: Quantifying Collaboration Quality with Automated Co-located Collaboration Analytics

New Pub: Towards Collaborative Convergence: Quantifying Collaboration Quality with Automated Co-located Collaboration Analytics

Conference, Conference, Event, Higher Education, Learning Design, Multimodal Learning Analytics, Publication
Collaboration is one of the four important 21st-century skills. With the pervasive use of sensors, interest on co-located collaboration (CC) has increased lately. Most related literature used the audio modality to detect indicators of collaboration (such as total speaking time and turn taking). CC takes place in physical spaces where group members share their social (i.e., non-verbal audio indicators like speaking time, gestures) and epistemic space (i.e., verbal audio indicators like the content of the conversation). Past literature has mostly focused on the social space to detect the quality of collaboration. In this study, we focus on both social and epistemic space with an emphasis on the epistemic space to understand different evolving collaboration patterns and collaborative convergence and quantify collaboration quality. We conduct field trials by collecting audio recordings…
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PhD defense: Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics

PhD defense: Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics

Artificial Intelligence, Book, Higher Education, Learning Analytics, Multimodal Learning Analytics, PhD defense, Press
Collaboration is one of the most important skills in the 21st century. Education, therefore, focuses on learning to cooperate, both in online and face-to-face settings. Learning Analytics is increasingly being used to analyse collaborations. Can face-to-face collaborations be analysed automatically by means of sensor technology? And what is the quality of the analyses generated by this? Sambit Praharaj developed a technical prototype to achieve automated collaboration analytics. On Friday 11 March 2022 at 1.30 pm Sambit defended his thesis 'Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics' at the Open University in Heerlen. Collaboration analytics using sensor technology Sambit Praharaj investigated the possibilities of automating collaboration analytics in face-to-face settings. He developed a prototype that measures the quality of collaboration. Praharaj also developed a dashboard that visualises the data and…
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AR4STEAM Meeting in Brussels: Successfull Ending of our Erasmus Plus Cooperation with Schools

AR4STEAM Meeting in Brussels: Successfull Ending of our Erasmus Plus Cooperation with Schools

Augmented Reality, Conference, Digitalisation, Event, Learning Analytics, Project, School
Today we gather in Brussels to celebrate the successful end of our 2,5 year collaboration on promoting Augmented Reality in STEM classes all over Europe. It has been our great pleasure to work on this EU project and to share a vision even in difficult times. #Schools #Science #STEM #Arts #Friendship #Europa #Europe #ErasmusPlus #Schools #AugmentedReality #Peace 
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zugehOERt Podcast 081: Learning Analytics und OER

zugehOERt Podcast 081: Learning Analytics und OER

Assessment, General education, Learning Analytics, Learning Design, Press, Webinar
Im Gespräch mit Susanne Grimm führt Ioana Jivet an das Thema Learning Analytics heran und geht auf dessen Mehrwert für Lehrende und Lernende auch im Hinblick auf eine mögliche Bedeutung für den größeren Nutzen von OER ein. Ioana Jivet ist seit 2021 assoziierte Wissenschaftlerin im EduTec-Team am DIPF. Als Postdoktorandin in der Einrichtung studiumdigitale der Goethe-Universität Frankfurt ist sie als Forschungskoordinatorin wissenschaftlicher Forschungsanteile der laufenden Projekte: HIKOF und IMPACT tätig. Im Rahmen des Hessen Hub – Netzwerk digitale Hochschullehre Hessen leitet sie das Schwerpunktthema Trusted Learning Analytics. Den Podcast hier anhören  
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Webinar: What happens when students get to choose indicators on customisable dashboards?

Webinar: What happens when students get to choose indicators on customisable dashboards?

Conference, Higher Education, Learning Analytics, Webinar
Learning analytics dashboards (LADs) are essentially feedback tools for learners. However, until recently, learners rarely have had a role in designing LADs, especially in deciding the information they would like to receive through such devices. Although learners might not always know what they need to self-manage their learning, we need to understand what type of feedback information and dashboard features they are likely to engage with and if, when, and how they use dashboards. To explore how LADs can better meet the needs of learners, we have embarked on two sets of studies aiming to understand students' information needs. In the first set of studies, we developed a customisable LAD for Coursera MOOCs on which learners can set goals and choose feedback indicators to monitor. We then analysed the learners'…
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