Artificial Intelligence for all

"<< Background >>The COVID-19 pandemic has accelerated the digital transformation of education, particularly in the use of artificial intelligence (AI). Educational institutions have shifted towards distance learning, heavily relying on new technologies. This has led to an increased demand for digital skills and training. In this regard, we gathered information from two publications of the European Commission's ""White Paper on Artificial Intelligence"", ""A European strategy for data"", and the ""Index of Readiness for Digital Lifelong Learning"" created by CEPS. The first two discussed how AI and data will transform societal and economic systems. The ""Index of Readiness for Digital Lifelong Learning"" revealed disparities in the degrees of readiness for the digital transition among the five countries involved in the project.Those inputs were considered crucial in the project construction phase, guiding the definition of the needs that the project would address, which were:•Raising the awareness about AI's impact on learning;•integrate AI-based methods in teaching and•providing learners with personalized paths to enhance digital skills.<< Objectives >>We wanted to enhance the use of digital technologies in the field of teaching and learning and increase the awareness of the multiple options offered by A.I. based systems. Our aim was to help teachers and trainers to better monitor digital skills of students and trainees by achieving the following accomplishments: - Provide an innovative practice of AI-assisted analysis of the results of basic digital skills self-assessments, where the AI would help operators in C-VET education sector in the definition of personalized individual training courses;- Create a collaborative practice at EU level for the continuous training of the AI and for the collection of the data required for this purpose. By doing so, the project could also:- set the ground for automating the digital skills assessment procedures in an expanding series of cases, and transforming them into AI-assisted self-assessment procedures and- extend the method to other sectors other than C-VET, as adults’ education, or primary schools.- extend this experience to SMEs workers and trainers helping SME’s to keep track of the digital skills of their staff and using AI based systems to improve them. << Implementation >>The project was divided into three logical phases:1.Research and development of the AI4ALL Training Toolkit based on the needs declared by the project partners (experts in C-VET sector).A1.1 Needs analysis and specification definitionA1.2 Data acquisition tool developmentA1.3 Datasets creationA1.4 Development and training of AI (ML) systemA1.5 European data collection campaign promotionA1.6 AI (ML) system validation and dataset publication.2.Development and testing of the self-paced training to basic concepts of AI and the use of the AI4ALL Training ToolkitA2.1. Curriculum developmentA2.2. Pedagogical and methodological framework definition A2.3. Online training platform development A2.4. Training contents developmentA2.5. C-VET trainers for the pilot course selection A2.6. Pilot edition of the course A2.7. Curriculum, training toolkit and online platform revision and translation 3.Dissemination of the results at European levelThe partners conducted numerous dissemination activities detailed on the Dissemination Report. (Annex 2) Project management activities were performed over the project execution to keep track of the work done, deliver the expected results sharing them beyond the partnership. << Results >>. R1: which responds to SG 1: Develop a Training Toolkit for AI4ALL, an AI to support the basic digital skills in C-VET self-assessment process.•R2: related to SG 2: Train CVET educators/trainers in the basic concepts of AI and the use of the training toolkit.Other results were: - 1.184 educators and trainees registered and using AI4All platform - 232 participants in the Multiplier Events- 120 members of the Project Staff and external educators trained on both Results 1 and 2 - 270.200 people reached through dissemination activities -1 training dataset for AI4ALL, created by applying the Training Toolkit for AI4ALL to the self-assessment tool. Outcomes that enable greater dissemination of results were: - Project website and 4 social media profiles- 1 Video presentation- 1 Step by Step Guide- 2 leaflets digitally sent through partner’s mailing lists- Creation of project hashtags and regular publication of project activities as demonstrated in the Dissemination Report- Presentation of the project in events and conferences of national and international relevance"