Artificial Intelligence Archives - Page 7 of 8

Jul132022 by Atezaz AhmadNo Comments

HIKOF-DL – 3rd Committee Meeting with Industry Members

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project, Transfer Activity

On 11.7.2022, team members of the HIKOF-DL project held its third meeting with the project committee members consisting of industry partners. The partner companies / institutions include Goethe Business School, Provadis, GIZ, Deutsche Bahn, Mercedes Benz, Academie für Bildungsforschung und Lehrerbildung. The three project leaders are Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey (Goethe University Frankfurt) and Dr. David Weiss (studiumDigitale, Goethe University Frankfurt). In the meeting, Prof. Dr. Hendrik Drachsler and team members presented the ongoing research work namely the pilot study involving the course "Einführung in Unterricht sowie Diagnostik und Beratung" taught by Prof. Dr. Andreas Frey, with ca. 1000 students. One of the project aims is to make course assessment less time-consuming for the teaching staff, as this was a significant concern in such a course…

Jun202022 by Prof. Dr. Hendrik DrachslerNo Comments

Transfer Workshop @ Digitaltag 2022 on highly informative and data-driven feedback with AI in higher education

Artificial Intelligence, Conference, Event, Higher Education, Learning Analytics, Open access, School, Transfer Activity, Webinar, Workshop

The third Digitaltag will take place on June 24, 2022. The initiative "Digital for All" is behind the Digitaltag. The alliance of more than 25 organizations from the fields of civil society, culture, science, business, welfare and the public sector unites a common goal: to promote digital participation in Germany. Prof. Dr. Hendrik Drachsler contributes a talk on highly informative and data-driven feedback with AI in higher education. Feedback is a powerful element of all learning processes. However, it is difficult to offer highly informative feedback to large groups of learners. The Educational Technology Collective at Goethe University and the DIPF Leibniz Institute Frankfurt am Main are conducting research on this challenge in a variety of projects. In this talk, Professor Dr. Drachsler will present on designing highly informative feedback…

Jun142022 by Atezaz AhmadNo Comments

New HIKOF-DL Video – Introduction to the project

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project

Studiumdigitale at Goethe University Frankfurt has created an informative video to introduce the HIKOF-DL project. HIKOF-DL stands for Hoch Informatives und Kompetenzorientiertes Feedback für das Digitale Lernen and is funded by the Hessen Ministry for Digital Strategy and Development from 2021-2024. Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey as well as Dr. David Weiss are project leaders of this interdisciplinary project. In the video below, they explained their roles and vision in this joint project. For more information about the project, please see the project website here: https://hikof.uni-frankfurt.de/

Jun52022 by Atezaz AhmadNo 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…

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 Atezaz AhmadNo 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…

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…