Ettevalmistustoetuse taotlemine (AITECH)

5868670 428625 0 0 -3810 9839325 Ehitajate tee 5 19086 Tallinn Rg-kood 74000323 Tel 620 2002 E-post [email protected] www.taltech.ee 0 0 Ehitajate tee 5 19086 Tallinn Rg-kood 74000323 Tel 620 2002 E-post [email protected] www.taltech.ee -3810 428625 0 0 SA Eesti Teadusagentuur Soola 8 01 . 0 7 .20 2 4 nr 11-10/908-2 5 1004 Tartu Ettevalmistustoetuse taotlemine Käesolevaga taotleb Tallinna Tehnikaülikool ( reg nr 74000323, ak EE201010052037382001 ) ettevalmistustoetust p rojekti taotlusele AI enhanced ICT education - AITECH ( 101186613 , HORIZON-WIDERA-2023-TALENTS-01 ) , vastutav täitja Janika Leoste , IT Kolledž . Lugupidamisega (allkirjastatud digitaalselt) Marika Lunden Teadusosakond Lisa: ESR left 284480 Riina Vilgats 620 3536 [email protected] 0 0 Riina Vilgats 620 3536 [email protected] Associated with document Ref. Ares(2024)4470168 - 20/06/2024 Proposal Evaluation Form EUROPEAN COMMISSION Evaluation Summary Horizon Europe Framework Programme (HORIZON) Report - Coordination and support actions Call: HORIZON-WIDERA-2023-TALENTS-01 Type of action: HORIZON-CSA Proposal number: 101186613 Proposal acronym: AITECH Duration (months): 60 Proposal title: AI enhanced ICT education Activity: HORIZON-WIDERA-2023-TALENTS-01-01 N. Proposer name Country Total % Grant % eligible Requested costs 1 TALLINNA TEHNIKAÜLIKOOL EE 2,498,875 100.00% 2,498,875 100.00% Total: 2,498,875 2,498,875 Abstract: In the era of rapid technological progress, the Horizon Europe-supported project at Tallinn University of Technology (TalTech) aims to integrate Artificial Intelligence (AI) into Information and Communication Technology (ICT) education, establishing the AIED Research Group. Despite Estonia's educational prominence, there exists an unexplored need –to enhance teachers' knowledge in incorporating AI into schools. The project's key objectives include talent attraction, structural changes in ICT education, and establishing the AIED Research and Learning Knowledge Hub at TalTech. The AIED Research Group, with 11 researchers, focuses on AI literacy, application of AI-based tools, and addressing ethical challenges in AI-enhanced ICT education. Collaborating with TalTech's School of IT, the IT Didactics Centre, and other research groups, the initiative aims to position TalTech as a testbed for AI integration. By creating the AIED Knowledge Hub and engaging in international collaboration, the project seeks to contribute valuable insights and best practices to European educational ecosystems. AITECH's activities extend to partnerships within the ICT education ecosystem, aligning with institutional and national strategies. The dissemination strategy, leveraging Estonia's status as a "digital state", aims to raise awareness of AI-enhanced ICT education. With the focus on attracting exceptional scientists, fostering interdisciplinary teams, and contributing to Horizon Europe and other EU research programs, AITECH strives for long-term sustainability and international recognition. Evaluation Summary Report Evaluation Result Total score: 11.00 (Threshold: 10 ) Criterion 1 - Excellence Score: 3.00 (Threshold: 3 / 5.00 , Weight: - ) 101186613/AITECH-20/06/2024-14:55:29 1/4  Associated with document Ref. Ares(2024)4470168 - 20/06/2024 The following aspects will be taken into account, to the extent that the proposed work corresponds to the description in the work programme: - Clarity and pertinence of the project’s objectives. - Quality of the proposed coordination and/or support measures including soundness of methodology. The ambition of the proposed work is to establish a sustainable new research group on AI in teaching and learning within Tallinn University of Technology to attract talent to the host institution. This is coupled with appropriate ambition to foster competitiveness in applications for research funding and in promoting institutional reform. As such, the proposed work is pertinent to the scope of the Work programme. However there is not enough detail on the academic research experience of the proposed Chair. The measurability, and target metrics, for some of the objectives is explained sufficiently well, however, for many objectives the way in which achievement of the objective will be quantifiably measured is not adequately established. The concrete method and actions proposed by the coordinator to enable the placement of the ERA chair to drive improvements in research excellence and increase success in research funding are not adequately explained. The approach that will be used to build and then sustain the ERA chair research team are convincingly articulated. A particular strength is the commitment to create a tenured position for the chair enabling them to make appropriate resource allocation decisions, supervise team members and freely apply for research funding to foster sustainability. The approach that will be used to foster institutional and R&I system changes is clearly articulated and of good quality. Whilst the research team that will be assembled is of high quality, there is insufficient detail on the research approach and its foundations to fully establish the quality of the research work that will be undertaken. The research work proposed includes a significant element of artificial intelligence (“AI”) that will be based on existing tools. A number of challenges, including structural challenges and challenges to working with AI in education, are described well. The ways that these challenges will be addressed and overcome or avoid them are credibly defined. However, challenges to the core method of the proposed coordination and support actions have not been adequately assessed. Open science practices are described well and it is appropriately clear that openness of access to results is embedded within the proposed work. Further, there is a good commitment to open access to research data in line with FAIR principles. These principles will be appropriately codified in the data management plan that will be developed during the execution of the proposed work. Criterion 2 - Impact Score: 4.00 (Threshold: 3 / 5.00 , Weight: - ) The following aspects will be taken into account, to the extent that the proposed work corresponds to the description in the work programme: - Credibility of the pathways to achieve the expected outcomes and impacts specified in the work programme, and the likely scale and significance of the contributions from the project. - Suitability and quality of the measures to maximise expected outcomes and impacts, as set out in the dissemination and exploitation plan, including communication activities. The pathways to reach the organisation level outcomes defined in the work programme are credibly defined. In particular, the way in which top talent will be encouraged to move to the host institution is explained clearly. Further, the way in which the proposed work will act to increase the ability of the host institution to compete for research funding is convincingly described. Pathways towards the system level expected outcomes defined in the work programme are also credibly articulated. For example, the way in which this work will drive reform both in the host institution and the wider Estonian R&I system is explained well. Additionally, the route to increasing international, interdisciplinary and intersectoral mobility of researchers and innovators is convincingly presented. The significance of the impact foreseen is explained well. However, the quantifiable scale of the impact in terms of the expected outcomes defined in the work programme is not explained in sufficient detail. The potential barriers to the impact foreseen are adequately assessed, with plausible approaches to overcoming them articulated appropriately. The plan for communication, dissemination and exploitation is generally very good. Target audiences are described well and it is clear that the channels to reach them are tailored to their needs. The proposed work includes a good approach to communication actions using a range of social media and other classical channels. The dissemination strategy is enhanced by its leaning on Estonia’s “digital state” status to enhance plans well. A strength of the exploitation plan is how it will leverage the AI hype-wave to share the impact of the research of the newly formed research group. The large scale of the foreseen dissemination and exploitation actions is demonstrated through the values of the associated KPIs, However, the route to reaching some of the high targets proposed is not fully clear and as such their credibility is not fully established. Appropriate principles for the management of IPR that will be used and created by the proposed work are credibly defined. Criterion 3 - Quality and efficiency of the implementation Score: 4.00 (Threshold: 3 / 5.00 , Weight: - ) 101186613/AITECH-20/06/2024-14:55:29 2/4  Associated with document Ref. Ares(2024)4470168 - 20/06/2024 The following aspects will be taken into account, to the extent that the proposed work corresponds to the description in the work programme: - Quality and effectiveness of the work plan, assessment of risks, and appropriateness of the effort assigned to work packages, and the resources overall. - Capacity and role of each participant. The work packages proposed are highly self-contained with the benefit of reduced impact of delay in any one work package, although the way in which siloisation will be avoided is not adequately addressed. Further, the rationale for the parallel running is not adequately explained in the context of the rules related to lump sum financing. These concerns together represent a shortcoming. Work package descriptions are generally good with an appropriate level of detail on the objectives, activities, and the linkage to the deliverables. However, there is insufficient detail on the specific content of deliverables. The milestones are appropriately defined and are well-suited to the proposed work. Milestones also have credible approaches to validating that they have been achieved. It is also clear that the milestones and deliverables between them will enable execution of the plan to be tracked. In general, the risk management approach is credible. A plausible set of critical risks has been identified and convincing approaches to their mitigation are described. However, the potential impact on dissemination and exploitation of a reduction in the current hype around AI is not adequately explored. The effort allocated to work packages is in line with the activities and tasks described. Further, the overall costs are reasonable for implementation of the work plan. The proposed research contains a research work package that accounts for less than 10% of the budget. The composition of the proposed research group and the skills that will be brought together are explained well. However, given the range of disciplines that will be brought together the necessity to have the right lead in place, and potential difficulty in achieving this, is not addressed in enough detail. The remuneration levels for the team are explained and justified well and the timeline for the recruitment activities is appropriate. Further, the recruitment process is described well and is in the hands of an outside group of experts and the ERA chair. As such, the way in which recruitment will take place in line with being merit-based, open and transparent is articulated well. The letter of commitment from the host institution demonstrates a very high degree of commitment to supporting the ERA chair fulfil their role in the proposed work. Similarly, the commitment of the proposed chair is also demonstrated very well. The proposed ERA chair has the necessary management competence to enable the host institution to upgrade its profile. The infrastructure required to undertake the proposed activities, including the research of the newly formed group, is not adequately described and so it is insufficiently clear that the host institution and ERA chair will have access to it. This is a minor shortcoming. Scope of the application Status: Yes Comments (in case the proposal is out of scope) Not provided Exceptional funding A third country participant/international organisation not listed in the General Annex to the Main Work Programme may exceptionally receive funding if their participation is essential for carrying out the project (for instance due to outstanding expertise, access to unique know-how, access to research infrastructure, access to particular geographical environments, possibility to involve key partners in emerging markets, access to data, etc.). (For more information, see the HE programme guide ) Please list the concerned applicants and requested grant amount and explain the reasons why. Based on the information provided, the following participants should receive exceptional funding: Not provided Based on the information provided, the following participants should NOT receive exceptional funding: Not provided Use of human embryonic stem cells (hESC) Status: No If YES, please state whether the use of hESC is, or is not, in your opinion, necessary to achieve the scientific objectives of the proposal and the reasons why. Alternatively, please state if it cannot be assessed whether the use of hESC is necessary or not, because of a lack of information. Not provided Use of human embryos Status: No 101186613/AITECH-20/06/2024-14:55:29 3/4  Associated with document Ref. Ares(2024)4470168 - 20/06/2024 If YES, please explain how the human embryos will be used in the project. Not provided Activities excluded from funding Status: No If YES, please explain. Not provided Do no significant harm principle Status: Yes If Partially/No/Cannot be assessed please explain Not provided Exclusive focus on civil applications Status: Yes If NO, please explain. Not provided Artificial Intelligence Status: No If YES, the technical robustness of the proposed system must be evaluated under the appropriate criterion. Overall comments Not provided 101186613/AITECH-20/06/2024-14:55:29 4/4  Digitally sealed by the European Commission Date: 2024.06.20 15:02:10 CEST This electronic receipt is a digitally signed version of the document submitted by your organisation. Both the content of the document and a set of metadata have been digitally sealed. This digital signature mechanism, using a public-private key pair mechanism, uniquely binds this eReceipt to the modules of the Funding & Tenders Portal of the European Commission, to the transaction for which it was generated and ensures its full integrity. 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