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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Guest scientist Prof. José L. Aznarte in Frankfurt

Guest scientist Prof. José L. Aznarte in Frankfurt

Artificial Intelligence, Higher Education, Learning Analytics, Team
We warmly welcome our guest scientist Prof. José L. Aznarte, who will be visiting the EduTec team at DIPF in Frankfurt until the end of July! Prof. José L. Aznarte is a researcher at the Artificial Intelligence Department of the Spanish Universidad Nacional de Educación a Distancia – UNED (one of the biggest universities in Europe) and deputy vice rector for digitalization and innovation. He co-leads UNED's ambitious ED3 project ("Distance, Digital and Data-based Education"), which revolves around the improvement possibilities offered by massive-data-based technologies and other AI tools in the framework of learning/teaching processes, particularly in hybrid face-to-face and remote settings. During his stay at DIPF, Professor José L. Aznarte will study the digitalization problem in comparative terms, aiming at getting to know the experiences at DIPF and at…
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International Day of Women and Girls in Science

International Day of Women and Girls in Science

Artificial Intelligence, Digitalisation, Event, Learning Analytics, Team
So exciting! Today is the "International Day of Women and Girls in Science", initiated by the UN and celebrated annually worldwide on 11 February to promote girls and women in science and research, especially in STEM subjects. Today our members of the EduTec Team,Dana Kube, is having a lunch appointment online at Eindhoven EAISI, where she will exchange ideas with other European women scientists on the topic of "Women in AI"! There is now a global network of women experts in AI and robotics who are advocating for gender-just, ethical and responsible solutions for the benefit of society. Today they are talking about how we in Europe can close the gender gap in AI and robotics and increase women's participation through mentoring, hackathons, and educational initiatives. We are very much…
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20.01.2021 – Kickoff of the IMPACT Meeting

20.01.2021 – Kickoff of the IMPACT Meeting

Artificial Intelligence, Assessment, Event, Higher Education, Learning Analytics, Project
Higher Education with Artificial Intelligence Projekt IMPACT: Implementation of AI-based Feedback and Assessment with Trusted Learning Analytics in Higher Education Institutions The collaborative project "Implementation of AI-based Feedback and Assessment with Trusted Learning Analytics in Higher Education Institutions" will be carried out by the Goethe University together with the Humboldt University Berlin, the Hagen University, the Freie Universität Berlin and the University of Bremen. Prof. Hendrik Drachsler, Professor of Computer Science with a focus on Educational Technologies at the DIPF and the Goethe University, is the collaborative leader and is also responsible for the Frankfurt sub-project "AI in the study entry phase for summative assessment and feedback as well as piloting, evaluation & implementation, dissemination". Responsible management of student data In the joint project IMPACT, five universities will work together…
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New project ML2MT: Artificial Intelligence across disciplines

New project ML2MT: Artificial Intelligence across disciplines

Artificial Intelligence, Learning Analytics, Project, School
With almost 10 million euros in funding, the Volkswagen Foundation encourages research projects that explore how artificial intelligence will affect society. Goethe University Frankfurt (GU) was successful with an application that looks at developments in human-machine interaction in education. "From Machine Learning to Machine Teaching (ML2MT) - Making Machines AND Humans Smarter" - this is the title of the project that the economist Prof. Oliver Hinz applied for in an interdisciplinary project together with colleagues from various subjects. The success of learning machines, as in the prime example of the board game Go (in the computer version "AlphaGo Zero"), has inspired scientists. Their project aims at a better understanding of how humans and machines in collaborative human-AI systems can develop new knowledge in symbiotic interaction with each other. To this…
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New Pub: Designing the Learning Analytics Cockpit – A Dashboard that Enables Interventions

New Pub: Designing the Learning Analytics Cockpit – A Dashboard that Enables Interventions

Conference, Conference, Higher Education, Learning Analytics, Publication
This paper presents results from our design and evaluation studies of the Learning Analytics Cockpit (LA Cockpit) for a quiz app, which aims to provide lecturers with important information about students’ knowledge levels. We define a LA Cockpit as a tool for instructors that enables them to steer students’ learning process by providing a LA Dashboard which visualizes students’ learning indicators and an intervention feature enabling instructors to give feedback based on students’ knowledge levels. To address the needs of lecturers we applied the Double Diamond (DD) design process model which consists of four stages: discover, define, develop & refine. Following the DD process, we first conducted a qualitative study by interviewing four lecturers and student teachers to discover their needs. Results from the interviews allowed us to define requirements…
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Auftaktveranstaltung: Forschung über Studienerfolg und Studienabbruch II

Auftaktveranstaltung: Forschung über Studienerfolg und Studienabbruch II

Higher Education, Learning Analytics, Project, Project meeting
Am 11. November 2021 fand die virtuelle Auftaktveranstaltung der BMBF-Förderlinie Forschung über "Studienerfolg und Studienabbruch II" statt. Virtueller Gastgeber war die FernUniversität in Hagen. Das EduTec Team war mit dem Projekt LAMASS@DiLea, in dem Faktoren für Studienabbruch und Studienerfolg im Zusammenhang mit digitalen Lehrformaten untersucht werden, ebenfalls vertreten. [embed]https://static1.bmbfcluster.de/5/2/2/4/0_c464c1b3f1efcf4/52240_b0710c16e248bbf_web.mp4[/embed]   Nach einer Begrüßung der Rektorin der FernUniversität in Hagen, Ada Pellert, stellte Prof. Hans-Dieter Daniel wichtige Erkenntnisse aus der ersten Förderlinie vor und formulierte Anregungen und "lessons learned" für die aktuelle Förderlinie. Danach begannen die Kurzvorstellungen der geförderten Projekte, in denen sich alle 19 Vorhaben zum Thema Studienerfolg und Studienabbruch innerhalb von 5 Minuten präsentierten. Innerhalb der jeweiligen Themencluster entstanden angeregte Diskussion, in denen projektübergreifende Herausforderungen und Lösungsansätze zur Sprache kamen. Im Anschluss an diese Präsentationen gab es Breakout-Sessions mit…
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Workshop on Culturally Aware Human-Centred Learning Analytics (CARLA) at EC-TEL2021

General education, Learning Analytics, Workshop
Learning analytics (LA) have been implemented in various countries, often at a limited scale. We have also seen that LA have been used in different ways in different countries. This makes the transfer of LA solutions from one country to another challenging, due to varying contextual, technical, and cultural factors. In an increasingly international educational landscape, how and to what extent should the LA community take into account cultural factors in order to make a relevant impact (i.e., improve learning) at scale? What opportunities are offered by LA technologies to consider learners’ cultural preferences and values, and how can we design culturally aware LA services which account for these values? These were some of the questions we aimed to answer during the Culturally Aware Human-Centred Learning Analytics (CARLA) workshop which…
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Two new research grants on AI in Higher Education

Two new research grants on AI in Higher Education

Artificial Intelligence, Higher Education, Learning Analytics, Project
The EduTec group contributed to two winning research grants on AI in Higher Education for the upcoming four years. The Federal Ministry of Education and Research (BMBF) is thus strengthening Frankfurt as an excellent centre for educational technologies, especially AI in Education (Learning Analytics). The federal-state initiative “Artificial Intelligence in Higher Education” supports two projects at the Goethe University Frankfurt. One of the projects is a cooperation project under the Goethe University Frankfurt direction, together with the University of Bremen, the FU Berlin, the HU Berlin, and the distance university in Hagen. The IMPACT project (IMPlementing AI-based feedbaCk and assessment with Trusted learning analytics in universities) is about the (partially) automated analysis of texts. Along the Student Life Cycle, prospective students, newcomers and students should receive text-based, highly informative and…
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