WORK PLAN, WORK PACKAGES, ACTIVITIES, RESOURCES AND TIMING

Forward AIe Skills project is designed to align with the objectives of ERASMUS-EDU-2025-PI-FORWARD-DIGITAL-AI, as well as the partners and target group needs, ensuring the ethical, effective, and inclusive adoption of Generative AI in education. The Work Packages (WP) have been structured to address the specific priorities and expected impacts, fostering institutional readiness, innovative pedagogical practices, and evidence-based policy recommendations.

WP1 – Project Coordination & Quality Assurance

Objective: Ensure the effective coordination, financial management, risk mitigation, and quality assurance of the project, supporting the delivery of high-impact results.

Key Activities:

  • Establishment of governance structures and regular partner meetings.
  • Development of a quality assurance plan, including KPIs and monitoring processes.
  • Financial and administrative management, ensuring compliance with Erasmus+ requirements.
  • Risk management and mitigation strategies.
  • Internal and external evaluation to assess project progress and effectiveness.

This WP ensures strong project governance, critical for the scalability and sustainability of project outcomes, facilitating long-term transferability and mainstreaming.

 

WP2 – AI Policy Framework & Ethical Guidelines

Objective: Develop an AI governance framework for education, ensuring the ethical, fair, and transparent use of AI in learning environments.

Key Activities:

  • Analysis of existing AI policies, the AI Act, GDPR, Ethical Guidelines on the Use of AI and Data in Teaching and Learning for Educators and DigComp 2.2 framework.
  • Development of ethical guidelines for AI integration in education.
  • Policy recommendations to support governance structures for AI in education.
  • Stakeholder engagement with educators, institutions, and policymakers to ensure adoption.
  • Creation of a practical guideline toolkit to support compliance with AI ethics.

It addresses the need for evidence-based policy recommendations and governance mechanisms, ensuring the responsible adoption of AI in education and training.

 

WP3 – Research, Mapping & AI Competence Framework

Objective: Conduct comprehensive research and analysis to identify best practices, challenges, and success factors in AI adoption in education.

Key Activities:

  • Systematic mapping of AI applications in education across different sectors and levels.
  • Development of an AI Competence Framework for educators and learners, aligned with DigCompEdu.
  • Surveys and interviews with educators, students, policymakers, and industry representatives.
  • Identification of key AI skills gaps in education and training.
  • Development of assessment tools for evaluating AI literacy and competence.

This WP directly responds to the need for methodologically robust research, mapping of effective uses, and evaluation frameworks for AI in education.

WP4 – AI Digital Toolkit, Online Lab & Large-Scale Pilots

Objective: Develop, test, and validate AI-driven digital tools through large-scale pilots, ensuring practical applicability and pedagogical effectiveness.

Key Activities:

  • Development of the AI Digital Toolkit, providing resources for educators and learners.
  • Creation of the Forward AIe Lab, an interactive online platform for experimentation with AI tools in real-world learning scenarios.
  • Implementation of large-scale pilots across different educational levels (higher education, vocational training, and lifelong learning).
  • Development of practical guidelines for integrating AI into educational institutions.
  • Data collection and evaluation of pilot results to refine the AI tools and methodologies.

It supports the design and piloting of pedagogically underpinned AI systems, fostering critical, ethical, and effective AI use in education.

 

WP5 – AI Microcredentials & Capacity Building

Objective: Develop AI-focused microcredentials and training courses to empower educators, managers, and students with AI literacy and critical thinking skills.

Key Activities:

  • Design and implementation of AI microcredentials, aligned with EU recognition standards.
  • Development of training courses on AI ethics, applications, and pedagogical integration.
  • Blended learning approach: Online courses + face-to-face training sessions.
  • Creation of Open Educational Resources (OER) to ensure broad accessibility.
  • Partnerships with industry actors to align AI training with labour market needs.

This WP supports institutional readiness and upskilling of educators, ensuring scalability of AI adoption across the education sector.

 

WP6 – Dissemination, Impact & Sustainability

Objective: Maximize the project’s impact by ensuring broad dissemination, policy influence, and long-term sustainability.

Key Activities:

  • Development of a Communication & Dissemination Strategy, ensuring outreach to educators, students, policymakers, and industry stakeholders.
  • Creation of an AI Education Portal to host project outputs, datasets and ensure open access.
  • Policy recommendations & final report to inform European AI education strategies.
  • Networking and outreach events (sectoral & cross-sectoral) to promote adoption of project results.
  • Sustainability strategy → Exploring EU funding (Erasmus+, Digital Europe Programme, Horizon Europe), private partnerships, and certification-based revenue models to ensure the project continues beyond its funded duration.

It addresses the need for transferability, networking, and long-term sustainability, ensuring that project outcomes are widely adopted and integrated into policy frameworks.

 

Work packages

This section concerns a detailed description of the project activities. 

Group your activities into work packages. A work package means a major sub-division of the project. For each work package, enter an objective (expected outcome) and list the activities, milestones and deliverables that belong to it. The grouping should be logical and guided by identifiable deliverables/outputs. 

Projects should normally have a minimum of 2 work packages. WP1 should cover the management and coordination activities (meetings, coordination, project monitoring and evaluation, financial management, progress reports, etc.) and all the activities which are cross-cutting and therefore difficult to assign to another specific work package (do not try splitting these activities across different work packages). WP2 and further WPs should be used for the other project activities. You can create as many work packages as needed by copying WP1. The last WP should be dedicated to Impact and dissemination

Please refer to the Call document/Programme Guide for specific requirements concerning the number and the typology of work packages. 

Work packages covering financial support to third parties ( only allowed if authorised in the Call document/Programme Guide) must describe the conditions for implementing the support (for grants: max amounts per third party; criteria for calculating the exact amounts, types of activity that qualify (closed list), persons/categories of persons to be supported and criteria and procedures for giving support; for prizes: eligibility and award criteria, amount of the prize and payment arrangements). 

Enter each activity/milestone/output/outcome/deliverable only once (under one work package).

Ensure consistence with the detailed budget table/calculator (if applicable). (n/a for prefixed Lump Sum Grants)

Objectives

List the specific objectives to which the work package is linked.

Activities and division of work (WP description)

Provide a concise overview of the work (planned tasks). Be specific and give a short name and number for each task.

Show who is participating in each task: Coordinator (COO), and if applicable Beneficiaries (BEN), Affiliated Entities (AE), Associated Partners (AP) and others, indicating in bold the task leader. 

Add information on other participants’ involvement in the project e.g. subcontractors, in-kind contributions. 

Note: 

In-kind contributions: In-kind contributions for free are cost-neutral, i.e. cannot be declared as cost. Please indicate the in-kind contributions that are provided in the context of the work package.

The Coordinator remains fully responsible for the coordination tasks, even if they are delegated to someone else. Coordinator tasks cannot be subcontracted.

If there is subcontracting, please also complete the table below.

Milestones and deliverables (outputs/outcomes)

Milestones are control points in the project that help to chart progress (e.g. completion of a key deliverable allowing the next phase of the work to begin). Use them only for major outputs in complex projects, otherwise leave the section empty. Please limit the number of milestones by work package.

Means of verification are how you intend to prove that a milestone has been reached. If appropriate, you can also refer to indicators.

Deliverables are project outputs which are submitted to show project progress (any format). Refer only to major outputs. Do not include minor sub-items, internal working papers, meeting minutes, etc. It is recommended to limit the number of deliverables to max 10-15 for the entire project. You may be asked to further reduce the number during grant preparation.

For deliverables such as meetings, events, seminars, trainings, workshops, webinars, conferences, etc., enter each deliverable separately and provide the following in the ‘Description’ field: invitation, agenda, signed presence list, target group, number of estimated participants, duration of the event, report of the event, training material package, presentations, evaluation report, feedback questionnaire. 

For deliverables such as manuals, toolkits, guides, reports, leaflets, brochures, training materials etc., add in the ‘Description’ field: format (electronic or printed), language(s), approximate number of pages and estimated number of copies of publications (if any). 

For each deliverable you will have to indicate a due month by when you commit to upload it in the Portal. The due month of the deliverable cannot be outside the duration of the work package and must be in line with the timeline provided below. Month 1 marks the start of the project and all deadlines should be related to this starting date.

The labels used mean:

Public — fully open ( automatically posted online on the Project Results platforms)

Sensitive — limited under the conditions of the Grant Agreement

EU classified — RESTREINT-UE/EU-RESTRICTED, CONFIDENTIEL-UE/EU-CONFIDENTIAL, SECRET-UE/EU-SECRET under Decision 2015/444. For items classified under other rules (e.g. national or international organisation), please select the equivalent EU classification level.