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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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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Team of EduTec and TBA Members Wins Runners-Up Prize @ NAEP Reading Automated Scoring Challenge

Team of EduTec and TBA Members Wins Runners-Up Prize @ NAEP Reading Automated Scoring Challenge

Artificial Intelligence, Assessment, Award, Computational Psychometrics, School
The NAEP Reading Automated Scoring Challenge was a competition which was held in late 2021 by the National Center for Education (USA). The goal was to evaluate the applicability of natural language processing methodology to the task of scoring of large scale constructed response assessment data. In addition to this, participating models were also required to be interpretable and free of algorithmic bias against different student demographics. The data set which was used to evaluate the systems consisted of responses from 4th and 8th grade school student to 20 different reading comprehension tasks. More than a dozen different teams from universities and private assessment companies submitted contributions. Out of these, 12 contributions, including ours, were selected as eligible with respect to interpretability and algorithmic fairness. These contributions were then ranked…
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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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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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New Pub: Analysis of the “D’oh!” moments.

New Pub: Analysis of the “D’oh!” moments.

Artificial Intelligence, Conference, Conference, Further Education, Higher Education, Lifelong Learning, Multimodal Learning Analytics, Publication
“Soul and body, I suggest reacting sympathetically upon each other. A change in the state of the soul produces a change in the shape of the body and conversely, a change in the shape of the body produces a change in the state of the soul.” To test this hypothesis proposed by Aristotle, our bachelor student Tetiana Buraha investigated the physiology of students performing task-switching exercises. The physiological data were collected using an Empatica E4 band. The performances of the students were compared against the physiological data using descriptive statistics and machine learning techniques. The analysis of Tetiana enabled the identification of interesting correlations between galvanic skin response and performance, and models to predict performance based on the physiological data. Results of her excellent thesis were published and presented at…
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New Pub: A short history, emerging challenges and co-operation structures for Artificial Intelligence in education

New Pub: A short history, emerging challenges and co-operation structures for Artificial Intelligence in education

Artificial Intelligence, Higher Education, Journal, Lifelong Learning, Publication, School
To accompany the special issue in Artificial Intelligence and Education, this article presents a short history of research in the field and summarises emerging challenges. We highlight key paradigm shifts that are becoming possible but also the need to pay attention to theory, implementation and pedagogy while adhering to ethical principles. We conclude by drawing attention to international co-operation structures in the field that can support the interdiscipniary perspectives and methods required to undertake research in the area. Reference: Mavrikis, M., Cukurova, M.,  Di Mitri, D., Schneider, J., & Drachsler, H. (2021). A short history, emerging challenges and co-operation structures for Artificial Intelligence in education. Bildung und Erziehung 2021 74:3, 249-263. https://doi.org/10.13109/buer.2021.74.3.249.
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