Artificial Intelligence Archives - Page 5 of 7

Jun52022 by Fernando P. Cardenas-HernandezNo Comments

Workshop – Learning Psychomotor Skills with AI & AR/VR considering Technical and Mental Aspects

Artificial Intelligence, Augmented Reality, Event, Multimodal Learning Analytics, Project, Research topic, Summer School, Workshop

From May 21 to 28, the 16th version of the EATEL Summer School on Technology-Enhanced Learning (JTELSS 2022) was held in the city of Halkidiki, Greece, whose purpose is to promote the dissemination of research in the area of Technology Enhanced Learning and encourage international cooperation between researchers, students and people interested in this topic. As members of the MILKI-PSY project, Dr. Daniele Di Mitri, Fernando P. Cardenas Hernandez, Gianluca Romano and Dr. Jan Schneider attended JTELSS 2022. Additionally, Fernando P. Cardenas Hernandez and Gianluca Romano, as active participants in the summer school, presented the workshop entitled "Learning Psychomotor Skills with AI & AR/VR considering Technical and Mental Aspects". This workshop started with a theoretical introduction given by both exponents where the participants were able to identify some of the…

May192022 by Daniele Di MitriNo Comments

Guest scientist Andrea Zanellati

Artificial Intelligence, Team

We welcome Andrea Zanellati, who will be visiting the EduTec team at DIPF in Frankfurt until the mid of September. Andrea is a Doctoral Researcher in Data Science & Computation at the University of Bologna with a background as a math and physics teacher. His main interest is in the application of machine learning techniques to analyze educational data and enhance learning and teaching processes. During the first year of his doctoral activity, he mainly focused on the development of AI tools for the early detection of students at risk of school dropout or underachievement. This early-stage research highlights the urgency to design ad-hoc indicators to trace students’ learning and increase the explainability of AI tools for the educational field. Andrea has been attracted by the advanced experiences of our…

Mar112022 by Prof. Dr. Hendrik DrachslerNo Comments

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…

Feb242022 by Heather WehnerNo Comments

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.

Feb102022 by Heather WehnerNo Comments

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…

Feb102022 by Dana KubeNo Comments

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…

Jan282022 by Prof. Dr. Hendrik DrachslerNo Comments

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…

Jan272022 by Daniele Di MitriNo Comments

Artificial intelligence for supporting disadvantaged learners

Artificial Intelligence, Assessment, School

[caption id="attachment_3685" align="alignleft" width="300"] The Mitchell County High School[/caption] Can Artificial Intelligence support disadvantaged teenagers in improving their mathematics and reading skills? Doctoral candidate Rashmi Khazanchi is investigating this relevant research question in her PhD project conducted with the supervision of Prof Hendrik Drachsler at the Open University of The Netherlands and Dr Daniele Di Mitri at the DIPF. Mrs Khazanchi is a mathematic and science teacher at the Mitchell County High School, located in the rural area of Camilla, in the southwest of Georgia, United States. The school offers generalist education as preparation for college and vocation and professional training. The high school is a publicly funded school system, and the majority of its student population are African American people. Several of these young students live in modest socio-economic…

Jan252022 by Sebastian GombertNo Comments

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…

Dec92021 by Prof. Dr. Hendrik DrachslerNo Comments

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…