News - Page 31 of 39 - EduTec Science

Mar52021 by Prof. Dr. Hendrik DrachslerNo Comments

Kickoff Meeting: MILKY-PSY – Multimodal Immersive Learning with Artificial Intelligence for Psychomotor Skills

Digitalisation, Higher Education, Multimodal Learning Analytics, Project

Those who want to learn a sport train new psychomotor skills. Until now, this has required role models such as teachers on site who explain, demonstrate and assess certain processes. A consortium around the Cologne Game Lab of the TH Köln is developing a learning environment with artificial intelligence (AI) to support the training process as part of the joint research project MILKI-PSY. Wer eine Sportart erlernen will, trainiert neue psychomotorische Fähigkeiten. Bislang werden dafür Vorbilder wie Lehrerinnen und Lehrer vor Ort benötigt, die bestimmte Abläufe erklären, zeigen und beurteilen. Ein Konsortium um das Cologne Game Lab der TH Köln entwickelt im Rahmen des Verbundforschungsprojekts MILKI-PSY eine Lernumgebung mit künstlicher Intelligenz (KI), die den Trainingsprozess unterstützen soll. Künstlerische, sportliche und handwerkliche Tätigkeiten erfordern psychomotorische Fähigkeiten, bei denen körperliche Bewegungen mit…

Feb252021 by Prof. Dr. Hendrik DrachslerNo Comments

KI@Schule – Virtueller Expert*innen-Workshop

Artificial Intelligence, Learning Analytics, Project, School, Workshop

Prof. Dr. Hendrik Drachsler wurde von der Deutschen Telekom-Stiftung mit 15 weiteren Expert*innen zum virtuellen Workshop „KI@Schule – Zwischen Wunsch und Wahrscheinlichkeit“ am 25. Februar 2021 eingeladen, um die Befunde der Trend- und Zukunftsstudie „Künstliche Intelligenz in der schulischen Bildung“ zu diskutieren. Prof. Dr Hendrik Drachsler and 15 other experts were invited by the Deutsche Telekom Foundation to the virtual workshop "KI@Schule - Zwischen Wunsch und Wahrscheinlichkeit" on 25 February 2021 to discuss the findings of the trend and future study "Künstliche Intelligenz in der schulischen Bildung".

Feb242021 by Prof. Dr. Hendrik DrachslerNo Comments

Learning Analytics Anwendungen für den Hochschuleinsatz – Eine praxisnahe Übersicht

Open access, Project, Publication, Report, Technical paper

Das Forschungsfeld Learning Analytics wächst in den letzten Jahren beständig. Mit dem Wachstum entstanden eine Vielzahl von Technologien und Anwendungen. Diese reichen von der Durchführung von kleinen Machbarkeitsstudien mit innovativen, prototypischen Anwendungen bis hin zu in großen empirischen Studien evaluierten kommerziellen Systemen. Es ist jedoch für potentielle Anwender von Learning Analytics schwierig, die Forschungslandschaft zu überschauen und sich einen Einblick in die Thematik zu verschaffen. Folglich sind viele Hochschulen und Lehrende beim Einsatz von Learning Analytics zögerlich, da alleine ein Überblick über die Möglichkeiten eine hohe Einarbeitungszeit erfordert. Auf Basis des ersten Verhaltenskodex für Trusted Learning Analytics (Hansen, Rensing, Herrmann, Drachsler, 2020), der vom Innovationsforum Trusted Learning Analytics des Projektes: Digital gestütztes Lehren und Lernen in Hessen (digLL) im Januar 2020 veröffentlicht wurde, möchten wir mit diesem Report einen Überblick…

Feb222021 by Atezaz AhmadNo Comments

Participate: Learn more about AR technology in STEM education in European schools in our online dissemination seminar on March 29

Digitalisation, Empirical Study, Game, Press, Project, Publication

Learn more about AR4STE(A)M in our online seminar! Register here: ME1-Invitation Take a look at the latest trends and technologies used in STEM classes and the pedagogic strategies to make STE(A)M learning a fun experience with new possibilities to discover STE(A)M topics for students all over Europe. Prof. Dr. Hendrik Drachsler, Mrs. Anna Stamouli and Mrs. Dana Kube will guide you through the evening and will talk with you and the entire project team about the latest developments : AR4STEAM AGENDA See you soon & stay tuned, your AR4STE(A)M Team

Feb152021 by Atezaz AhmadNo Comments

NEW Newsletter and Update on AR4STEAM

Augmented Reality, Digitalisation, Project, Publication, Report, School

AR4STE(A)M Newsletter 2 We have the pleasure to update you by this Newsletter with advance made in our project, which is designed to provide attractive means and ways to improve current technological methods, encouraging STEAM education. Joining us, you will find in our publications a lot of useful information, tips and new opportunities for modern and effective teaching.

Feb112021 by Atezaz AhmadNo Comments

Nina Seidenberg joins the team

Learning Analytics, Team

Starting January 1st 2021 Nina Seidenberg joins the EduTech team. She has a part time position at the DIPF and is also working for studiumdigitale (Goethe University). She was one of the organizing chairs of the 10th international Learning Analytics and Knowledge Conference, one of the very first conferences that was moved to the virtual space in spring 2020.Her research focuses on the management and design of virtual conferences.

Feb82021 by Atezaz AhmadNo Comments

Onur Karademir joins the team

Learning Analytics, Team

Starting February 1st 2021 Onur Karademir joins the EduTec team as a PhD candidate. During his studies in M.Sc. Computer Science at the Goethe University Frankfurt he worked at the studential think thank #DigitalChangeMaker of Hochschulreform Digitalisierung. After graduating he founded in 2020 the StartUp StudyCore which delivers EdTech Tools for Universities and Schools. In his research Onur will be working on various Learning Analytics algorithms to distinguish successful learning strategies and extract the acquired skills in a learning environment. Furthermore he will be working on didactical feedback to support the individual learning process.

Jan302021 by Atezaz AhmadNo Comments

#Resilience Press Release AR4STE(A)M Project

Digitalisation, Game, Project

The AR4STE(A)M project team is resilient in Corona times! Despite the ongoing pandemic preventing any physical events from taking place, AR4STE(A)M Project is going on successfully and several goals have been achieved in the last months! Final publication of the Compendium of Gamification Strategies: Promoting creativity through good and proven AR Apps and Technologies for STE(A)M learning The first publication of the EU-Erasmus+ project "AR4STE(A)M" is the Augmented Reality Compendium - a compilation of suitable game-based AR (Augmented Reality Applications) apps and technologies for MINT (Mathematics, Computer Science, Science, Art and Technology) teaching. The digitally available compendium aims to present the most relevant AR learning practices from 6 EU countries (Belgium, Germany, Cyprus/Greece, Italy, Netherlands & Turkey). Available here: https://www.pedocs.de/frontdoor.php?la=en&source_opus=20639 NEW! Identification of training needs and challenges for teachers in STE(A)M…

Jan212021 by Atezaz AhmadNo Comments

EduTec@ AI Camp 2021 In dialogue. With algorithms. For society.

Conference, Digitalisation, Workshop

https://kicamp.orgOn April 27, 2021, the German Federal Ministry of Education and Research (BMBF) and the German Informatics Society (GI) will bring together selected AI talents up to the age of 35 with renowned AI experts from all over the world at the AI Camp 2021 in Berlin. Whether universities, startups or think tanks: young AI researchers from alldisciplines and backgrounds will meet in interactive fishbowl discussions, lecture sessions or hands-on workshops and address transdisciplinary future issues from the fields of society, sustainability, production, science, health, mobility, art and media. Starting as early as January, the hybrid on- and offline event will offer participants the opportunity to actively participate in the program design and to network on a topic-by-topic basis in virtual workshop and discussion formats. Artificial intelligence is not only…

Dec222020 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

Higher Education, Journal, Learning Analytics, Open access, Publication

The purpose of this paper is to explore the expectations of academic staff to learning analytics services from an ideal as well as a realistic perspective. This mixed-method study focused on a cross-case analysis of staff from Higher Education Institutions from four European universities (Spain, Estonia, Netherlands, UK). While there are some differences between the countries as well as between ideal and predicted expectations, the overarching results indicate that academic staff sees learning analytics as a tool to understand the learning activities and possibility to provide feedback for the students and adapt the curriculum to meet learners' needs. However, one of the findings from the study across cases is the generally consistently low expectation and desire for academic staff to be obligated to act based on data that shows students…