GREAT project presentation at World Forum Women in Science – Theme “Science for the SDGs”

GREAT project presentation at World Forum Women in Science – Theme “Science for the SDGs”

Event, Invited talk
On 15 April, GREAT project manager Dr. Jane Yau had the pleasure of moderating the session Technology, Sustainability and Industry with Prof. Nova Ahmed at the World Forum Women in Science - Theme: Science for the SDGs (https://women-in-science-without-borders.network/world-forum-women-in-science-2024/).  The session included a number of initiatives of empowering women and underrepresented groups to take on science activities and careers to advance the SDGs. Jane also shared the GREAT project findings in this session with a talk “Gaming for Change: Leveraging digital games to address climate change”, based on the GREAT project methodology and first case study findings!  The session was free to attend and was live-streamed on Facebook. The video recording will be available shortly.Jane will also be in Rome, Italy, on 19 April to attend the in-person Networking Event as…
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Team led by Sebastian Gombert wins one of two tracks at BEA 2024 shared task on predicting Item Difficulty and Item Response Time

Team led by Sebastian Gombert wins one of two tracks at BEA 2024 shared task on predicting Item Difficulty and Item Response Time

Artificial Intelligence, Assessment, Award, Computational Psychometrics, Conference, Higher Education, New Pub, Workshop
For standardized exams to be fair and reliable, they must include a diverse range of question difficulties to accurately assess test taker abilities. Additionally, it's crucial to balance the time allotted per question to avoid making the test unnecessarily rushed or sluggish. The goal of this year's BEA shared task (competition) was to build systems which could predict Item Difficulty and Item Response Time for items taken from the United States Medical Licensing Examination (USMLE). EduTec member Sebastian Gombert designed systems which are able to predict both variables simultaneously. These placed first out of 43 for predicting Item Difficulty and fitfth out of 34 for predicting Item Response Time. They use modified versions of established transformer language models in a multitask setup. A corresponding system description paper titled Predicting Item…
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CORE Roundtable in Munich

CORE Roundtable in Munich

Assessment, Critical Online Reasoning, Multimodal Learning Analytics, Project, Project meeting
Hendrik Drachsler, Sebastian Gombert and Gianluca Romano participated at the Roundtable in Munich for the CORE project (Critical Online Reasoning in Higher Education) from 04.03.-05.03.2024. In those two days, our team had the chance to recapitulate on how the infrastructure stood strong during the first survey from December 2023 to February 2024, and pave the way for next steps and surveys. In summary, the infrastructure performed well. It dealt with approximately 10Mio. requests per seconds and the majority of hurdles participants reported were out of our authority. Requests from participants were dealt with quickly in a few days on average. Even though we are proud of our achievements there is still a lot to be done for future surveys. For the agenda we split into smaller groups, each of us…
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Didacta Presentation in Cologne: Key Questions to Find Fitting AI Solutions For Student Feedback

Didacta Presentation in Cologne: Key Questions to Find Fitting AI Solutions For Student Feedback

Artificial Intelligence, Feedback, General education, Invited talk, School
What are the goals of AI in education for student feedback? How can teachers make sure that their AI-assisted feedback goes beyond simple right/wrong statements and instead provides not only correct solutions, but also possibilities for improvement, hints on competence development and effective learning strategies? To find a fitting AI solution, there are key questions one should know to ask in advance. These questions were outlined by Hendrik Drachsler in his presentation at the didacta 2024 in Cologne on 20.02.2024 titled “Ihr KI-Anbieter-Test - 3 Schlüsselfragen die Sie kennen sollten.” The key questions: Question 1: What indicators does your AI product use to analyze learning outcomes? --> Look for AI products that provide relevant indicators for measuring learning progress and skills acquisition. These indicators are important to accurately assess learning…
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2nd GREAT Consortium Meeting in Copenhagen – 28-29 Feb 24

2nd GREAT Consortium Meeting in Copenhagen – 28-29 Feb 24

Project meeting
🎉 Celebrating One Year of GREAT - Games Realising Effective & Affective Transformation - EU & UKRI-funded project! Thanks to our SGI partner Simon Egenfeldt-Nielsen (& Tim Garder), we had the wonderful opportunity to be in Copenhagen for our second in-person project consortium meeting. It was a fantastic experience as all partners joined for 2 productive days of interactive workshops, capacity-building activities, interesting conversations and delicious meals. Special thanks to our associate partners Ahmed Tlili, who joined us all the way from Beijing Normal University, China, and Byron Bunt, who joined us virtually from Northwest University, South Africa! During the meeting, we deepened our analysis of our upcoming case studies to reach the promised scientific, societal and economic impact. Our first case study has been a hugely successful one with 400k citizens…
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GREAT presentation at UNESCO Institute for Lifelong Learning

GREAT presentation at UNESCO Institute for Lifelong Learning

Invited talk
On 26 Feb 2024, Jane had the opportunity to present the EU & UKRI-funded GREAT project (Games Realising Effective and Affective Transformation) at the UNESCO Institute for Lifelong Learning in Hamburg, Germany. From January to July 2024, Jane is a visiting researcher at this institute, where she will collaborate with UNESCO on publications on the use of technologies to facilitate education for sustainable development especially targeting climate change education. This fits very well in line with the GREAT project and provides many excellent opportunities on both sides to learn from each other's work.
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SWK-Talk: Large Language Models and their potential in the education system

SWK-Talk: Large Language Models and their potential in the education system

Artificial Intelligence, Event, School
In the SWK Talk Special "Large Language Models and their potential in the education system" on 18.01.2024, the SWK (Standing Conference of the Ministers of Education and Cultural Affairs) presented its impulse paper on Large Language Models. For the impulse paper, the SWK consulted external experts, including members of the EduTec Team, on teaching and learning with AI and LLM. The aim was to contribute to the current debate on the potential of LLM in the education system. The key conclusion is that the German education system currently faces the task of trying to utilize the potentials of generative AI technologies such as LLM, while at the same time recognizing their limitations and finding a way to responsibly deal with their restrictions. The paper also emphasizes the importance of a…
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PhD defense on Technological Responses to Distracting Media Multitasking in Digital Learning Environments

PhD defense on Technological Responses to Distracting Media Multitasking in Digital Learning Environments

Award, Higher Education, Learning Analytics, PhD defense, School, Self-Regulation
Today, we proudly acknowledge the remarkable achievement of our team member, Daniel Biedermann, in successfully defending his PhD thesis to become Dr. Biedermann. Woohoo, congratulations! In our modern world, the reality of digital distractions through the attention economy cannot be denied. Countries like the Netherlands, for instance, are planning to ban mobiles from classrooms starting from 2024. Daniel's PhD work centered on the complex challenges of digital media distraction, a phenomenon that's prevalent largely due to our pervasive use of social media and notification systems on our phones, PCs, and tablets. Presented in his disputation, Daniel argued the need for a context-sensitive system to gain a more profound understanding of digital media distraction. In addition, Daniel addressed the crucial subject of digital self-control tools (DSCTs). His research, which provided a…
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Kickoff meeting of the DFG Research Group CORE

Kickoff meeting of the DFG Research Group CORE

Artificial Intelligence, Critical Online Reasoning, Event, Higher Education, Project meeting
The Johannes Gutenberg University Mainz (JGU Mainz) hosted a two-day kickoff meeting from 05-06.12.23 for the DFG-Research Group CORE, a project dedicated to the study of critical online reasoning (COR) skills in higher education. The CORE project aims to explore the online learning behaviors and online information landscapes that students in medicine, physics, economics, and social sciences use for their studies.The event brought together a the CORE project partners as well as the international advisory board to discuss the project's goals, achievements so far, and future directions. Inclusion of International Advisory Board Members The kickoff meeting was enriched by the presence of members of the CORE project's international advisory board, these esteemed members provided valuable insights and recommendations for the project's advancement, stressing the importance of interdisciplinary cooperation in the study…
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3rd IMPACT consortium meeting, a deep-dive into the rollout of Learning Analytics in the times of generative AI

3rd IMPACT consortium meeting, a deep-dive into the rollout of Learning Analytics in the times of generative AI

Artificial Intelligence, Event, Higher Education, Learning Analytics, Project
The IMPACT project held its third project meeting in Hagen, Germany, from 30.11-01.12.2023. The IMPACT project seeks to enhance higher education through the sizable implementation of Artificial Intelligence procedures for (partially) automated text analysis. Along the Student Life Cycle, prospective and current students receive highly informative, personalized feedback based on text during the orientation and entry phases, throughout the course of their studies (formative assessment), and upon the completion of academic performances (summative assessment). Supported by change management based on the SHEILA process model, five German universities are implementing text-based AI procedures. These include chatbots, personalized feedback systems for formative and summative assessments. The interdisciplinary consortium leverages internationally-tested open-source software solutions, along with shared standards for interoperability in higher education with learning management systems like Moodle, Stud.IP, ILIAS, Online Study…
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