GREAT project posters presentations at IEEE Games, Entertainment & Media Conference

Conference
Jane Yau was at the IEEE Games, Entertainment and Media Conference last week in Torino, Italy (5-7 June), and shared GREAT project findings - 📢Co-designing Pilot Games with Citizens and Policy Stakeholders to Increase Climate Action 📌This paper presents an initial report on the codesign processes between researchers and policy stakeholders in the GREAT (Games Realising Effective and Affective Transformation) project applied in the context of the climate emergency. 📢 Exploring the Concept of Mini Data Sprints as a Methodology to Assess Data Validity and Stimulate Climate Conversation 📌 The authors present two studies that have deployed mini data sprints (MDS). The MDS approach uses interactive data applications and visualisations to provoke citizens’ feelings, knowledge, and perspectives towards the climate conversation and presented data. These studies highlight how the MDS…
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FoLA supports Simulation-based Training for High-risk Clinical Situations

FoLA supports Simulation-based Training for High-risk Clinical Situations

Assessment, Empirical Study, Feedback, Further Education, Higher Education, Learning Analytics, Learning Design, medical education, Multimodal Learning Analytics, Workshop
From May 16th to 17th, 2024, Hendrik Drachsler and Marcel Schmitz (TETRA AI, ZUYD University of Applied Science) had the pleasure of providing a FoLA workshop at the College of Anaesthesiologists of Ireland (CAI) in Dublin, Ireland, under the support of the Insight research centre. Together with members from CAI and from the ASSERT Centre, College of Medicine and Health, University College Cork (UCC), they used the FoLA tool to plan a simulation-based training for high-risk clinical situations using highly informative feedback. Data from these trainings will be collected and analyzed to determine how effective this training is in improving the performance of the attendees. The study is being planned to take place with around 100 doctors in training at two simulation training centers: at ASSERT Centre UCC and at…
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How to Implement and Scale Learning Analytics Infrastructures in the Cloud @ #JTELSS24

How to Implement and Scale Learning Analytics Infrastructures in the Cloud @ #JTELSS24

Critical Online Reasoning, Higher Education, Learning Analytics, Summer School, Workshop
At the 18th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2024) in Gabicce Mare, Pesaro, Italy, Gianluca Romano and Sebastian Gombert conducted the workshop "From Learner Behavior to Big Data: How to Implement and Scale Learning Analytics Infrastructures in the Cloud”. In the ever-evolving world of cloud computing, Azure stands out as a robust platform offering a myriad of services and tools to help businesses innovate and scale. Recently, we had the chance to delve deep into Azure's ecosystem, exploring its billing structures, infrastructure capabilities, and budgeting models. Here's a glimpse into what we learned and how you can leverage Azure for tracking user behavior and managing costs effectively. One of the foundational aspects of working with Azure is understanding its billing structure, which is organized into tenants, subscriptions, and…
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GREAT project presentation at the Int. Conf. of Young Scientists 2024

GREAT project presentation at the Int. Conf. of Young Scientists 2024

Conference
From 7-10 May 2024, Jane Yau was at the International Conference of Young Scientists, held in conjunction with the Global Young Academy Annual Conference. This year's theme was "Transformative and inclusive science for a sustainable future" and was held at the National Academy of Sciences, Engineering and Medicine in Washington D. C. Jane presented the GREAT project, which was recorded and live-streamed (the recording will be available shortly). Positive and enthusiastic feedback was received relating to how the project can align with the United Nations Climate Promise Plan to reduce global carbon emissions by 1.5 degrees by 2025. The project is currently undertaking a number of case studies and by the end of the year, there will be lots of detailed results relating to how games can be used effectively…
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Dr. Diana Gayol Visits the EduTec Team

Dr. Diana Gayol Visits the EduTec Team

Artificial Intelligence, Higher Education, Transfer Activity
Last week we had the pleasure of welcoming Dr. Diana Gayol, Director of Diploma in Didactics and Pedagogy in Health Areas at the Faculty of Medicine of the Fundación Barceló in Buenos Aires (Argentina), to DIPF. Dr. Gayol's research focuses on psychological studies of Argentinean students and shows parallels with various activities of the TBA Center. On her research trip, she was able to make a stop at Campus Westend, where she was particularly interested in an exchange about future AI applications in argentinian education with Sebastian Wollny and Sebastian Gombert. Collaborative Discussions During her visit, Dr. Gayol engaged in dynamic discussions with our researchers. We explored topics ranging from personalized learning through Intelligent Tutoring Systems (ITS) to Chatbots and AI-driven analytics. Dr. Gayol emphasized the importance of bridging the…
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Recap of the MODUS conference in Karlsruhe

Recap of the MODUS conference in Karlsruhe

Artificial Intelligence, Conference, Higher Education
As the echoes of insightful discussions and the energy of networking gradually settle, it's time to revisit the highlights of the German Rectors’ MODUS Conference which took place an April 10th and 11th 2024 in Karlsruhe. The conference titled “Recognition Culture in Higher Education. International Perspectives on Lifelong Learning and Student Mobility” brought together around 200 experts and interested parties from universities and research institutions, including Hendrik Drachsler and other representatives from the Goethe University. The conference produced a wealth of insights into the integration of artificial intelligence (AI) at universities. Discussions highlighted both opportunities and challenges, especially in the context of the digitalization of administration and teaching organizations. Instruments for various areas of application were presented, including information and communication tools such as chatbots and recommendation systems, as well…
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New Pub: Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design

New Pub: Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design

Computer-supported collaborative learning, Conference, Conference, Higher Education, Learning Analytics, Learning Design, New Pub, Open access, Open science, Publication, Technical paper
Abstract: Learning Design (LD) is the strategic orchestration of educational components to create a rewarding experience for students and educators. Adapting it to real-world scenarios with evolving technologies, like learning analytics (LA), adds complexity but offers the potential for enhanced learning outcomes and engagement. Prior research highlights the growing importance of LA in informing LD decisions. The FoLA2 method offers a collaborative approach to course design considering LA implications. This study pursues two primary objectives. Firstly, to enhance the FoLA2 method by granting course designers access to the Open Learning Analytics Indicator Repository (OpenLAIR) that facilitates visual connections between LD pedagogies, LDLA activities, LA indicators and their metrics. Secondly, to explore how novice and expert groups utilize the FoLA2 methodology to design a course in Technology Enhanced Learning. The findings…
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Atezaz’s Conference Paper Presentation at CSEDU in Angers, France

Atezaz’s Conference Paper Presentation at CSEDU in Angers, France

Conference, Conference, Event, Learning Analytics, Learning Design, Publication
Atezaz shared insights from their paper titled "Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design" at the CSEDU 2024 conference in Angers, France, delving into its implications and findings. Additionally, this paper received a nomination in the Best Student Paper category.
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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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