Effective training of transferrable skills related to open science and innovation for early-stage researchers

DISCOVERING LEARNING aims at creating new knowledge by experimenting towards Proof of Concept of a new model to implement a participatory, empowered and evolutionary work-based learning in PhD programmes for effectively training transferable skills related to open science and innovation; as well as building actionable knowledge for future scalability and sustainability of results and traceable lifelong learning. The final purpose is to build evidence (KPI) about what works in higher education for training transferable skills related to open science and innovation.

For this purpose, DISCOVERY LEARNING model involves different players (academic and non-academic) and types of training (digital, gamified…), and taking advantage of blended learning to integrate non-academic environments and “experience-holders” (e.g. industry). It will be tested with a relevant portfolio of contents for training transferable skills related to open science and innovation, integrated into UIO Faculty of Mathematics and Natural Sciences PhD Programme.

DISCOVERY LEARNING will address 3 challenges:

DISCOVERY LEARNING will tackle the potential of blended learning to promote effective building of transferable skills under an incremental experience-based training process.

DISCOVERY LEARNING focuses into transferable skills related to open science and innovation.

DISCOVERY LEARNING will test the potential of the methodologies proposed to engage PhD students and young researchers into continuous training of skills. This project will also promote evaluation based on purpose-related effectiveness, both in relation to the evaluation of trainees as well as the assessment of training quality.

DISCOVERY LEARNING Challenges

 

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