The AI Moodle Course is a modular, competence-based training offering specifically designed for SME professionals and trainers who want to explore the potential, usability and responsible integration of AI tools into daily business practices. The course structure follows a practical and reflective learning journey based on the LEVEL5 framework and the SMERALD competency model, ensuring that learners build knowledge, skills, and attitudes in a balanced way.
This course provides a comprehensive journey through the data lifecycle, from discovering and cleaning raw datasets to analysing and visualising insights effectively. By mastering these essential skills, learners will be equipped to transform data into actionable, impactful results.
The SMERALD Competence Framework is based on the LEVEL5 approach, a taxonomic system developed for competency-based learning and validation. LEVEL5 uses a three-dimensional model that recognises the development of
- Knowledge (cognitions): Understanding digital data, data analysis and AI concepts.
- Skills (actions): Applying digital data techniques and tools in practical business scenarios.
- Attitudes (emotions and values): Cultivating a proactive and adaptive mindset towards digital transformation.
This model categorises competencies into five quality levels, ranging from novice to competent expert. It provides a structured method for designing and planning informal and non-formal learning experiences, while validating competences in specific practical contexts. The LEVEL5 approach emphasises the importance of context and ensures that learners can effectively demonstrate their competences in real-life situations.
LEVEL5 is not just about validation, it is a holistic validation and learning system.
Therefore, it is designed to plan and deliver competence oriented learning - especially in informal and non-formal contexts where no pre-written learning plans are available.
This course introduces VET professionals and SME trainers to the SMERALD approach for competence-oriented assessment in AI, Data Analysis, and Digital Data. You will learn how to support meaningful competence development using practical tools such as the SMERALD Competence Framework, the SPIDER self-reflection tool, and the LEVEL5 validation approach.
Through a set of 16 structured assessment methods, you will discover how to design authentic, learner-centred assessment activities that reflect real SME challenges and promote continuous improvement. The course combines short explanations, examples, practice tasks, and reflection to help you select the right methods for your training context.
By the end, you will be equipped to implement competence-oriented assessment confidently and purposefully in blended and informal learning environments.
The SMERALD CPD provides a transversal training model for Continuous Professional Development (CPD) that can be replicated across sectors and projects.
Its purpose is not to turn participants into AI experts, but to build awareness, curiosity, and capability for integrating AI and data-driven thinking into professional and educational practice.
Design Thinking provides us with a systematic and structural approach to solving complex problems from many fields and to find new solutions that meet the needs of those involved. It is often used in the field of idea and innovation development.
The method is based on a multi-step, agile and iterative process. This design thinking process helps us to narrow down and actually understand our problem, identify solution spaces and generate concrete ideas. In each step of this process, we apply different creative techniques and thus approach innovative solutions for our problem. Users and their needs are always in the foreground.
This course introduces the steps of the design thinking process, explains them and provides a number of methods and tools which can be applied to facilitate each step.
This course is designed to improve your own competences regarding COL&V. It is divided into 4 learning units with different focuses, which can be worked through individually.
The course is based on the reveal publication which is therefore deposited on the main page.