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Virtual Auditorium – Forward Looking Project

Quality of Interaction of the Virtual Auditorium - VIRTUAL AUDITORIUM

Start:  01-01-2024     

End:  31-12-2028 (48 months total) 

Project Reference: 101132828 

EU Grant: 1 381 070.00 

Programme: ERASMUS PLUS  

Call: Partnerships for Innovation – Forward Looking Projects 

Action Type: ERASMUS Lump Sum Grant 

Partners:  

  • TECHNISCHE UNIVERSITAT BERLIN [DE[ – Coordinator  
  • UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA [IT] 
  • DIETHNES PANEPISTIMIO ELLADOS [GR]
  • VISOKA POSLOVNA SKOLA PAR [HR] 
  • MINE VAGANTI NGO [IT] 
  • SMART NEST [LV] 
  • URBAN RESEARCH AND EDUCATION UG (HAFTUNGSBESC) [DE] 
  • INFINITIVITY DESIGN LABS [FR] 
  • OZEL OGRETIM KURUMLARI GENEL MUDURLUGU [TR] 

Project topics:  

Challenges in Traditional Education 

Innovative educational Approches  

Education technology  

EdTech industry and Public Education Sector cooperation  

Project Objectives:  

The Objective of the Virtual Auditorium project is to contribute to the strengthening of Europe’s innovation capacity by developing innovative solutions in education and training and promoting  cooperation between EdTech industry and Public Education Sector.  

The Virtual Auditorium project will have the following Specific Objectives:  

SO1 – Identifying, developing and testing innovative approaches that have the potential to be mainstreamed in order to improve education and training systems 

SO2 – Launching pilot actions to test solutions to present and future challenges with a view to kickstarting sustainable and systemic impact; 

SO3 – Contributing to development of an evidence-based quality assurance framework via incorporation of calculation of Quality of Interaction into that 

SO4 – Promotion of cross-sectoral cooperation in-between of EdTech & Public Sector 

The project will focus on a practical challenge identified – Quality of Interaction does not have a defined numeric value how to evaluate it, moreover it is not being determined with AI lead models. 

Quality of Interaction depends on two main components: Course content and Type of person in Learning. 

Course content is changeable, Type of the Person in learning not, in order to increase the Quality of 

Interaction, HEI should be able offer course content appropriate to Type of Learner. 

In order to offer course content according with max QoI and accordint to Type of Learner teachers 

should have tools that can determine Types of Learner for each person in the class – project will develop an LMS-based application that will determine that.  

In order to achieve that determination of QoI becomes mainstreamed, project should put serious effort in making QoI as part of Evidence Based Quality Assurance Framework. 

All project successes, challenges and results will be communicated into European Digital Education 

HUB, which in March 2023 had more than 2500 members. 

Innovative educational approaches through Virtual Auditorium 

  • Deep Machine Learning: Utilize advanced algorithms to analyze LMS data. 
  • Behavior Prediction Models: Develop models to predict student interaction quality. 
  • Data Analysis: Analyze different types of learner interactions and preferences. 
  • Content Modernization: Update course materials to suit current consumption patterns. 
  • Personalized Learning: Adapt content based on the identified learner types. 
  • Teacher Tools Development: Create LMS-based applications for better insight into student needs. 
  • Training for Teachers: Equip educators with skills to use digital learning materials effectively. 
  • Quality Assurance Integration: Incorporate QoI metrics into educational quality standards. 
  • Community Engagement: Share results and insights with the wider education community for broader impact. 

Implementation of the Virtual Auditorium will be devided into 6 main Working Packages that will have a logic sequence and internal connections within tasks and deliverables to be developed:  

WP2 – Factor Framework of QoI The objective of the Work Package is to run a Factor Mapping with the aim to find factors that define the Quality of Interaction (QoI), the way how they can be expressed in numeric ways and their importance (weight) in defining the overall QoI. 

WP3 – Development of the LMS Application. The objective of the Work Package will be develop an application that will be possible to install on Learning Management systems of Higher Education Institutions, for example, Moodle, which is the most commonly used LMS of HEIs in Europe. 

WP4 – Piloting. The objective will be to test develop the developed LMS application. The most challenging part of the piloting will be to ensure that delivered values of QoI are correct. In order to check that, a parallel “manual” determination of QoI with statistical analysis methods will be done to the same classes. The “manual” determination will require extensive run of questionnaires and statistical data analysis. 

WP5 – ToolKit to Maximise QoI. The objective of the work package is analyse which digital training means have the highest QoI on different student learning types as well for different types of subjects (more theoretical e.g. economics vs more practical ones, e.g. engineering. As a result of the WP, partners will have knowledge, which digital learning materials are having the highest QoI for each type of learner and/or subject type (theoretical vs practical). 

WP6 – QoI as part of Evidence-Based Quality Assurance Framework. The objective of WP6 will be to: contribute to development of an evidence-based quality assurance framework via incorporation of calculation of Quality of Interaction into that. As part of WP6 the project consortium will put effort to bring the objective of the WP to the table of discussion of The European Digital Education Hub’s Certification Squad. 

The Quality of Interaction can be considered as part of an evidence-based quality assurance framework. In education and training settings, the quality of interaction usually refers to the extent to which learners are engaged in meaningful and effective interactions with learning materials, instructors and peers. High-quality interaction is associated with improved learning outcomes and greater engagement and motivation among learners. 

By incorporating the quality of interaction into an evidence-based quality assurance framework, educational and training institutions can ensure that they are providing a supportive and engaging learning environment that promotes positive outcomes for learners. 

WP7 – Promotion of cross-sectoral cooperation in-between of EdTech & Public Sector. A well known challenge is that EdTech sector is more motivated to cooperate with private sector, especially large companies that are investing large resources in their internal workspace learning are drivers of the industry development. In many cases, public sector and education adopts what was initially developed for private sector. The work package has been designed with ambition to turn this paradigm in favour of public sector.