New Pub: What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository

New Pub: What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository

Conference, Digitalisation, Learning Analytics, Learning Design, Publication
In recent years, 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 paper, we present the evaluation of a LA tool that 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 paper is to present Open Learning Analytics Indicator Repository (OpenLAIR) and provide a first evaluation with key stakeholders (N=41). Moreover, it presents the results of the prevalence of indicators that have been used over the past ten years in LA.…
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New Pub: Analytics for Supporting Teaching Success in Higher Education: A Systematic Review

New Pub: Analytics for Supporting Teaching Success in Higher Education: A Systematic Review

Conference, Higher Education, Learning Analytics, Literature review, Publication
Learning analytics are utilized to support learners’ educational needs as well as to enhance their study success, for example, via the use of real-time prompts, motivational dashboards, and appropriate learning interventions, which have been shown to increase students’ academic performance as well as their course retention rates. Yet, the perspective of higher education teachers in utilizing analytics to help analyze, reflect on, and improve their teaching design prior to delivery as well as to monitor and measure how the students engaged withtheir learning processes has been less recognized. In this paper, we present the results of a systematic review conducted from higher education teachers’ perspective concerning how analytics can be deployed to adapt the curriculum to suit better students’ educational needs in order to increase their study success. Thirty-five key…
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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: Chapter in Learning Analytics Handbook 2022

New Pub: Chapter in Learning Analytics Handbook 2022

Higher Education, Learning Analytics
More and more higher education institutions have been making use of learning analytics in the last few years. But despite an increased funding and more research in the learning analytics domain, there is still a lack of systematic and large-scale implementations of learning analytics. In order to improve learning analytics adoption and to establish it sustainably, higher education institutions need to align learning analytics-related activities with their goals and visions. Their making us of data requires a set of guidelines and principles, i.e. a policy, that fits their context and speaks to all involved stakeholders. Only then can the effective and responsible use of learning analytics be ensured and will higher education institutions be truly able to establish learning analytics in a sustainable way. Reference: Scheffel, M., Tsai, Y.-S., Gašević,…
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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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Interview with Bildung.Table

Interview with Bildung.Table

Artificial Intelligence, Higher Education, Learning Analytics, Press, Project, School
On 23.02.2022 Hendrik Drachsler was interviewed by Niklas Prenzel from Table.Media about Artificial Intelligence in university teaching and the joint project IMPACT. In the interview, he outlines how AI can support teaching and help reduce the burden on lecturers as well as giving answers to the concerns from other disciplines.   The interview "KI darf nur unterstützen, niemals entscheiden" is available in German in the Bildung.Table issue #46 from the 23rd of February can be read here.
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