The process of structuring the modules includes: selecting industry and cross-domain (interdisciplinary) topics relevant and suitable to adopt through AI approach and developing educational modules according to these selected topics.
All modules will be driven by industry examples and will be based on the demand analysis carried out in Project Result 1 and Project Result 2. Since this analysis will be performed continuously, the core of modules can be further updated in order to reflect the latest market needs. The methodologies will be tailored to examples and should include theories, methods and data divided into industry and/or cross domain topics. These modules will be structured in end-to-end business case but with flexibility and simplicity in mind, avoiding a technical approach; if certain industry will only use case as cookbook or focusing on background if industry requires such approach.
Educational modules will differ in methodology used and sector’s topics they elaborate. As best practice, we will introduce as part of courses: (i) Role-Playing, Debate, and Case Studies; (ii) Writing to Learn; (iii) Small Group Learning; (iv) Assessment as Learning: (v) Problem-Based Learning; (vi) Service Learning; (vii) Distance-learning/Online Learning.
Once it is fully developed, the educational material will use an output-based approach and be built around the notion of learning outcomes, units of learning and credits. This will facilitate the adoption of the educational material by HEIs and business’ industry sector interested in topic. Namely, modules will be designed in a way they can be used “of the shelf” to create new or improve existing study programs in higher education or in adult training.