Abstract
Entrepreneurship is of great significance or value to the employability and is considered an essential competence for personal development and self-fulfilment. : The OER movement has tended to define “openness” in terms of access to use and reuse educational materials, and to address the geographical and financial barriers among students, teachers and self-learners with open access to high quality digital educational resources. MOOCs are the continuation of this trend of openness, innovation, and use of technology to provide learning opportunities for large numbers of learners. Education in entrepreneurship increases the chances of start-ups and self-employment and enhances Initiatives has a crucial role in providing the competencies that self-learners need to adapt to change in the social, economic and technological contexts. The differing and diverse individual learning pathways, learning outcomes and future learning needs related to entrepreneurship competences exhibited by different recommender algorithms show that recommendation is not a one-size-fits-all problem. Specific resources, tasks, information needs, and knowledge’s domains represent significant restrictions for Recommender Systems. The design and evaluation of recommenders needs to be done based on the user tasks to be supported. Effective deployments must begin with careful analysis of prospective users and their goals. This work, aims to develop an approach for Collaborative Filtering based on Open Educational Resources (OER), to support diverse individual learning pathways and to better assess all types of learning outcomes and future learning needs related to building entrepreneurship competences. The author’s shows a data architecture based on semantic web technologies that support the recommendation of open educational materials and provide personalized OER (corresponding to the actual individual learning needs). Also, the authors focus on a type of openness: open of contents as regards alteration i.e. freedom to reuse the material, to combine it with other materials, to adapt and to share it further under an open license.