OUTPUTS
D2.1 Awareness and Requirements
The analysis identified the main requirements and barriers towards AI. It includes barriers (of incorporating AI into classrooms and curricula), desired competencies, technical aspects as well as suggestions by the stakeholders. Furthermore, we analyzed the needs of the main target groups. This analysis goes beyond the analysis of whether AI but provides a basis for implementing new curricula and learning scenarios.
Deliverable 3.1: Conceptual Development – Pedagogical Model, Competence Framework, Readiness Framework
To facilitate the integration of AI into schools and classrooms, structured frameworks are indispensable. They offer guidance for curriculum development, teaching strategies, and assessment methods. These frameworks assist teachers in delivering AI content effectively, enable schools to assess and enhance their AI readiness, and aid governmental institutions in shaping informed educational policies. In this deliverable, we cover the following aspects:
● Section 2 – Pedagogical Framework: This aspect focuses on developing a pedagogical approach tailored to teaching AI. It emphasizes problem-based learning in real-life scenarios and cross-subject learning. The framework is designed using a design science research methodology, ensuring a practical and robust approach to AI education.
● Section 3 – Competency Framework: This task involves creating a competency framework for school years 7 to 12, outlining the essential AI skills and knowledge students should acquire. It includes an iterative process of updates and improvements based on initial feedback and validations.
● Section 4 – Competency Mapping: This involves extending the AI competency framework to other subjects, facilitating an interdisciplinary approach to AI education and enriching the overall learning experience.
● Section 5 – AI Readiness Framework: This framework aims to establish a quality mark for schools, assessing their AI teaching capabilities, staff competencies, and AI usage. It’s based on a maturity model tailored for educational settings, ensuring a comprehensive evaluation of AI integration in schools.
Deliverable 5.1 Trials and Validation (Pilots)
The main idea of the pilots is to test, validate and improve the initial open learning scenarios with teachers and students hands-on. The pilots included a (standardized) validation with teachers and learners in Germany, Finland, Greece, and Lithuania. We focused on assessing competency improvement of the participants. As a summary, we have seen significant competency improvements in AI competencies as well as a very positive perception of our overall approach.
The full results and corresponding recommendations can be found in the deliverable.